16 Mortgage Analytics Jobs nearby Mysore

As a BI developer, your main role will be to develop, deploy, and maintain BI tools and interfaces. This includes query tools, data visualization and interactive dashboards, ad hoc reporting, and data modeling tools. **Key Responsibilities:** - Design and develop advanced reports and state-of-the-art dashboards using MicroStrategy Developer/ Web. - Create and use Dossiers in Microstrategy. - Experience in Performance Tuning and Optimization using VLDB and database query tuning techniques. - Write SQL queries. - Design, develop, and test reporting solutions & dashboards with MicroStrategy Components. - Interact with business points of contact, ETL, and data architect teams to build models suitable for MicroStrategy. - Learn, evaluate, and adapt tools/technologies to meet business and project objectives. - Collaborate with Business Analysts, Process Experts, and Report Designers to produce useful dashboards and drill-down reporting in Microstrategy. - Design and implement changes to new/existing database schema requirements. - Participate in requirements gathering discussions to drive towards immediate technical results to solve client problems. **Qualifications:** - Bachelors degree in an analytical field such as Business Administration, Engineering, Mathematics, Accounting, Finance, or Information Technology is required for this position. - 3+ years of experience in Business Intelligence Tools/Data warehousing/SQL/MIS reporting is preferred. - Prior mortgage analytics experience is preferred.,

Role Overview: You will be part of the Remediation & Remuneration COE team within the Analytics & Information Management (AIM) global community at Citi. Your primary responsibility will be to manage the analysis of customer remediation issues in the retail consumer bank globally. This includes executing data remediation approaches, assessing the impact of issues, conducting root cause analysis, and supporting audit processes. Key Responsibilities: - Conduct remediation analysis by implementing comprehensive data remediation approaches for customer issues stemming from policy and governance gaps, self-identification, or internal audit findings. - Identify the size of impacted customers and the monetary impact caused by the issues. - Analyze issues and perform root cause analysis using analytical methods. - Support audit processes by tracking implementation plans and providing data evidence and artifacts for audit completion. Qualifications Required: - Proficiency in SAS, SQL, RDBMS, Teradata, Unix, MS Excel, PowerPoint, VBA, Jira, Bitbucket, and Mainframes. - Exposure to Big Data and Python. - Good understanding of banking domain and consumer products such as Retail Banking, Deposit, Loans, Wealth Management, Mortgage, and Insurance. - Knowledge of finance regulations and understanding of retail banking domain (preferred). - Strong analytical and interpersonal skills with the ability to solve complex business problems, present findings to management, perform data analysis and management, generate actionable business insights, and communicate effectively. - Excellent communication and interpersonal skills, good process management skills, and ability to work in teams. - Education Level: Masters or Advanced Degree in Information Technology, Computer Applications, Engineering, or MBA from a premier institute. - Overall experience of 2-5 years with at least 1 year of experience in the banking industry delivering data solutions. - Job Category: Decision Management. - Schedule: Full-time, Regular Local Working Hours (aligned with NAM working hours). - Employee Status: Regular. - Salary Grade: C10.,

FICO is a leading global analytics software company, assisting businesses in making better decisions in over 100 countries. Join the world-class team at FICO to fulfill your career potential. **Role Overview:** Join the dynamic and talented GTS operations team at FICO in a hands-on technical role, providing first-level support for FICO IT infrastructure under the Senior Manager, GTS Operations. **Key Responsibilities:** - Provide first level support for IT Infrastructure Incident Resolution & Incident Escalation. - Complete requests and perform scheduled tasks for technical systems located in multiple geographical regions from the dedicated local command center. - Utilize technical knowledge to solve complex problems. - Solve/escalate issues within agreed SLA/OLA. - Prioritize incident tickets and document all pertinent incident information as per defined guidelines. **Qualifications Required:** - Competent in working as a system administrator in a Linux environment. - 2-4 years of relevant experience. - Basic knowledge about Application Support/PAAS/IAAS/SAAS. - Basic knowledge of Linux/Unix Administration/Active Batch/SQL & Oracle Databases/Networking. - Basic knowledge about Cloud computing/AWS Platform. - Basic knowledge of scripting. - Excellent verbal and written communication skills. - Ability to work well under pressure following defined processes. - RHCSA/RHCE certification/ITIL certifications are desirable. - Open to working in a 24x7 environment with rotating shifts and rotating weeks off. FICO offers a high-performance culture promoting recognition, rewards, and professional development. An inclusive culture reflecting core values such as Act Like an Owner, Delight Our Customers, and Earn the Respect of Others. Competitive base salary with an attractive role-specific incentive plan, comprehensive benefits program, and an engaging work environment promoting work/life balance, employee resource groups, and social events. Join FICO to develop your career in Big Data analytics, playing a crucial role in helping businesses use data to enhance decision-making processes. FICO's impact on businesses worldwide is significant, with FICO Scores used by 90 of the top 100 US lenders and 3/4 of US mortgages approved using the FICO Score. FICO's solutions are in high demand due to global trends toward digital transformation, making FICO one of the world's top 100 software companies by revenue. Join FICO to be part of a diverse and inclusive environment that fosters collaboration and innovation, providing you with the support and freedom to develop your skills and grow your career. Learn more about fulfilling your potential at [FICO Careers](www.fico.com/Careers).,

As a BI developer at Ocwen Financial Solutions Private Limited, your main role will be to develop, deploy, and maintain BI tools and interfaces. This includes working on query tools, data visualization, interactive dashboards, ad hoc reporting, and data modeling tools. Key Responsibilities: - Design and develop advanced reports and state-of-the-art dashboards using MicroStrategy Developer/Web. - Create and use Dossiers in MicroStrategy. - Work on MicroStrategy 2021 version (preferred but not required). - Perform Performance Tuning and Optimization using VLDB and database query tuning techniques. - Write SQL queries effectively. - Design, develop, and test reporting solutions & dashboards with MicroStrategy Components. - Collaborate with business points of contact, ETL, and data architect teams to build suitable models for MicroStrategy. - Learn, evaluate, and adapt tools/technologies to meet business and project objectives. - Collaborate with Business Analysts, Process Experts, and Report Designers to produce meaningful dashboards and drill-down reporting in Microstrategy. - Have working knowledge of designing and implementing changes to new/existing database schema requirements. - Participate in requirements gathering discussions and drive towards immediate technical results to solve client problems. Qualifications: - Bachelor's degree in an analytical field such as Business Administration, Engineering, Mathematics, Accounting, Finance, or Information Technology is required. - 3+ years of experience in Business Intelligence Tools/Data warehousing/SQL/MIS reporting is preferred. - Prior experience in mortgage analytics is a plus. About Ocwen Financial Solutions Private Limited: Ocwen Financial Solutions Private Limited is a wholly-owned subsidiary of Onity Group Inc., a leading non-bank mortgage servicer and originator. The company provides solutions through its primary brands, PHH Mortgage and Liberty Reverse Mortgage. PHH Mortgage is one of the largest servicers in the United States, offering various servicing and lending programs. Liberty is one of the largest reverse mortgage lenders in the U.S., focusing on education and providing loans to meet customers" personal and financial needs. The company is committed to delivering exceptional service and value to homeowners, customers, clients, and investors. At Onity Group Inc., the Service Excellence philosophy is embraced through CARE standards, which stand for Caring, Accurate, Responsive, and Empowered. Employees are expected to interact with respect, courtesy, and professionalism while achieving results consistent with CARE standards.,

Role Overview: You will be part of the Remediation & Remuneration COE team within the Analytics & Information Management (AIM) global community at Citi. Your primary responsibility will involve managing the analysis of customer remediation issues across the globe, specifically focusing on retail consumer banking. This will include conducting remediation analysis, impact assessment, issue management, root cause analysis, and audit support. Key Responsibilities: - Execute comprehensive data remediation approach on customer issues resulting from gaps in policies, governance, self-identified issues, or through internal audit findings. - Identify the size of the customer base and the financial impact caused by these issues. - Analyze and identify root causes of issues using analytical methods. - Support audit processes by tracking implementation plans and providing necessary data evidence and artifacts. Qualifications Required: - Proficiency in tools and platforms such as SAS, SQL, RDBMS, Teradata, Unix, MS Excel, PowerPoint, VBA, Jira, Bitbucket, and Mainframes. - Exposure to Big Data and Python will be advantageous. - Good understanding of banking domain and consumer products like Retail Banking, Deposit, Loans, Wealth Management, Mortgage, and Insurance. - Knowledge of finance regulations and understanding of retail banking domain is preferred. - Strong analytical and interpersonal skills to solve complex business problems, present findings to management, perform data analysis, data profiling, data management, MIS reporting, and generate actionable business insights. - Excellent communication, interpersonal, and process management skills. - Ability to work effectively in teams. About the Company: The AIM team at Citi is a rapidly growing organization that collaborates with various Citi businesses and functions worldwide to drive data-driven transformation and create actionable intelligence for business leaders. The Remediation & Remuneration COE team plays a crucial role in coordinating customer-facing remediation efforts and partnering with technology, analytics groups, shared services, and controllers to prioritize and schedule remediation activities. *Please note that the job category is Decision Management, and the role requires a full-time commitment during regular local working hours aligned with NAM working hours. The ideal candidate should have a master's or advanced degree in Information Technology, Computer Applications, Engineering, or MBA from a premier institute, with 2-5 years of overall experience and at least 1 year in the banking industry delivering data solutions.*,

Role Overview: You will be joining the Remediation & Remuneration COE team within the Analytics & Information Management (AIM) community at Citi. Your primary responsibility will be to manage the analysis of customer remediation issues in the retail consumer bank globally. This role involves conducting remediation analysis, impact assessment, issue management, root cause analysis, and audit support. Key Responsibilities: - Execute comprehensive data remediation approach on customer issues stemming from gaps in policies, governance, self-identification, or internal audit findings - Identify the size of customers and the monetary impact of the issues - Analyze issues and determine root causes using analytical methods - Track implementation plans and provide data evidence for audit completion Qualifications Required: - Proficiency in SAS, SQL, RDBMS, Teradata, Unix, MS Excel, PowerPoint, VBA, Jira, Bitbucket, and Mainframes - Exposure to Big Data and Python - Good understanding of banking domain and consumer products such as Retail Banking, Deposit, Loans, Wealth Management, Mortgage, and Insurance - Knowledge of finance regulations and understanding of retail business/banking domain (preferred) - Ability to identify and solve complex business problems, present them in a structured manner, and communicate effectively - Data analysis, profiling, and management skills - Experience in MIS reporting and generating actionable business insights - Excellent communication, interpersonal, and process management skills - Team player with the ability to work collaboratively Additional Details: - Education Level: Masters or Advanced Degree in Information Technology, Computer Applications, Engineering, or MBA from a premier institute - Overall experience of 2-5 years with at least 1 year in the Banking Industry delivering data solutions - Job Category: Decision Management - Schedule: Full-time, Regular Local Working Hours aligned with NAM working hours - Employee Status: Regular - Salary Grade: C10 (Note: The company's other information, such as Job Family Group, Job Family, Time Type, Most Relevant Skills, and Other Relevant Skills, has been omitted as it is not directly related to the job description provided.) Role Overview: You will be joining the Remediation & Remuneration COE team within the Analytics & Information Management (AIM) community at Citi. Your primary responsibility will be to manage the analysis of customer remediation issues in the retail consumer bank globally. This role involves conducting remediation analysis, impact assessment, issue management, root cause analysis, and audit support. Key Responsibilities: - Execute comprehensive data remediation approach on customer issues stemming from gaps in policies, governance, self-identification, or internal audit findings - Identify the size of customers and the monetary impact of the issues - Analyze issues and determine root causes using analytical methods - Track implementation plans and provide data evidence for audit completion Qualifications Required: - Proficiency in SAS, SQL, RDBMS, Teradata, Unix, MS Excel, PowerPoint, VBA, Jira, Bitbucket, and Mainframes - Exposure to Big Data and Python - Good understanding of banking domain and consumer products such as Retail Banking, Deposit, Loans, Wealth Management, Mortgage, and Insurance - Knowledge of finance regulations and understanding of retail business/banking domain (preferred) - Ability to identify and solve complex business problems, present them in a structured manner, and communicate effectively - Data analysis, profiling, and management skills - Experience in MIS reporting and generating actionable business insights - Excellent communication, interpersonal, and process management skills - Team player with the ability to work collaboratively Additional Details: - Education Level: Masters or Advanced Degree in Information Technology, Computer Applications, Engineering, or MBA from a premier institute - Overall experience of 2-5 years with at least 1 year in the Banking Industry delivering data solutions - Job Category: Decision Management - Schedule: Full-time, Regular Local Working Hours aligned with NAM working hours - Employee Status: Regular - Salary Grade: C10 (Note: The company's other information, such as Job Family Group, Job Family, Time Type, Most Relevant Skills, and Other Relevant Skills, has been omitted as it is not directly related to the job description provided.)

As a Fraud Analytics - Vice President in the Home Lending Fraud Risk Management group, you will have the opportunity to partner with the Business to provide a comprehensive view and work on high impact strategy initiatives within the Home Lending and Home Equity Transactions areas. Your role will involve complex data analytics on large datasets, developing strategies to prevent and identify fraudulent applications, and optimizing tool performance to respond to fraud trends. You will be expected to demonstrate control and documentation skills and work collaboratively with various teams to ensure effective risk management solutions. **Key Responsibilities:** - Assist in developing strategies to prevent and identify fraudulent applications using internal and external tools - Evaluate and implement improvements to strategies for vendor-provided model solutions - Partner with fraud prevention operations teams to optimize tool performance and respond to fraud trends - Support delivery of key performance indicators and business metrics (MIS) - Coordinate functional requirements with business management staff and technical solutions with systems programming and analyst staff for Risk Queuing and Management System (RQMS) - Interface with business, IT, Risk, Information Owners, and other support staff as needed - Identify and manage project dependencies and critical path issues - Demonstrate control and documentation skills **Qualifications Required:** - Bachelor's degree - 5+ years of risk management experience, with Home Lending experience in fraud risk management preferred - Proficiency in SAS Enterprise Guide, SQL, and Tableau - Independent problem-solving skills - Understanding of the mortgage production process and P&L - Strong written and verbal communication skills - Ability to synthesize quantitative and qualitative analysis into concise, executive-level communications **Additional Company Details:** This company values creative thinking, problem-solving abilities, self-motivation, and confidence in a fast-paced, energetic environment. The firm focuses on high impact strategy initiatives in the financial services industry, making it an exciting place to work on challenging projects and initiatives.,

As a Data Scientist at our company, you will be responsible for supporting the development and deployment of machine learning models and analytics solutions aimed at improving decision-making across the mortgage lifecycle. Your key responsibilities will include: - Developing and maintaining machine learning models and statistical tools for various use cases such as risk scoring, churn prediction, segmentation, and document classification. - Collaborating with Product, Engineering, and Analytics teams to identify data-driven opportunities and support automation initiatives. - Translating business questions into modeling tasks and contributing to the design of experiments and success metrics. - Assisting in building and maintaining data pipelines and model deployment workflows in partnership with data engineering. - Applying techniques such as supervised learning, clustering, and basic NLP to structured and semi-structured mortgage data. - Supporting model monitoring, performance tracking, and documentation to ensure compliance and audit readiness. - Contributing to internal best practices and participating in peer reviews and knowledge-sharing sessions. - Staying current with developments in machine learning and analytics relevant to mortgage and financial services. Qualifications required for this role include: - Minimum education required: Masters or PhD in engineering/math/statistics/economics, or a related field - Minimum years of experience required: 2 (or 1, post-PhD), ideally in mortgage, fintech, or financial services - Required certifications: None - Experience working with structured and semi-structured data; exposure to NLP or document classification is a plus. - Understanding of model development lifecycle, including training, validation, and deployment. - Familiarity with data privacy and compliance considerations (e.g., ECOA, CCPA, GDPR) is preferred. - Strong communication skills and ability to present findings to technical and non-technical audiences. - Proficiency in Python (e.g., scikit-learn, pandas), SQL, and familiarity with ML frameworks like TensorFlow or PyTorch.,

As a Fraud Analytics - Vice President in the Home Lending Fraud Risk Management group, you will play a crucial role in analyzing various Origination, De-Risking, and Controls agenda initiatives within the Home Lending and Home Equity Transactions areas. Your main responsibilities will include providing high-level analytic support for complex projects, developing strategies to prevent and identify fraudulent applications, optimizing tool performance, and supporting the delivery of key performance indicators and business metrics. **Key Responsibilities:** - Assist in developing strategies using internal and external tools to prevent and identify fraudulent applications, including misrepresentation and misuse. - Continually evaluate and implement improvements to strategies for vendor-provided model solutions. - Partner with fraud prevention operations teams to optimize tool performance and respond to fraud trends. - Support delivery of key performance indicators and business metrics (MIS). - Coordinate functional requirements with business management staff and technical solutions with systems programming and analyst staff to determine the most cost-effective solutions for Risk Queuing and Management System (RQMS). - Interface with business, IT, Risk, Information Owners, and other support staff as needed. - Identify and manage project dependencies and critical path issues. - Demonstrate control and documentation skills. **Qualifications Required:** - Bachelors degree with proficiency in SAS Enterprise Guide, SQL, and Tableau. - 5+ years of risk management experience; Home Lending experience with fraud risk management preferred. - Independent problem-solving skills. - Understanding of the mortgage production process and P&L. - Strong written and verbal communications skills. - Ability to synthesize quantitative and qualitative analysis into concise, executive-level communications. - Excellent written and verbal communications skills. The preferred qualifications, skills, and capabilities include: - 5+ years in consumer mortgage originations or investigation experience environment.,

Role Overview: As a Director of Credit Risk Modeling at FC Global Services India LLP, you will be responsible for leading, mentoring, and managing a team of credit risk modelers and analysts. Your role will involve overseeing the development and implementation of robust models to ensure accurate loss forecasting, regulatory compliance, and optimized financial performance. Expertise in navigating a complex regulatory landscape and building credit models adhering to US Federal Reserves CCAR framework will be crucial for your success in this role. Key Responsibilities: - Lead, mentor, and manage a team of credit risk modelers and analysts, fostering a culture of continuous learning and effective communication with stakeholders. - Develop and implement sophisticated credit risk models for consumer and commercial lending portfolios, ensuring alignment with the organization's goals, risk appetite, and financial objectives. - Oversee the development, validation, and implementation of advanced credit risk models across various lending products, including Mortgages, HELOCs, Credit Cards, Auto Loans, Commercial Real Estate, and Commercial & Industrial portfolios. - Translate complex risk analytics insights into actionable business strategies and policy recommendations in collaboration with senior leadership. - Drive the enhancement of risk management frameworks to meet evolving regulatory requirements, including CCAR and CECL compliance. - Lead strategic initiatives to modernize risk analytics infrastructure and capabilities through the adoption of advanced technologies and methodologies. - Ensure projects are completed on time and meet the department's and company's risk governance and regulatory standards. Qualifications Required: - PhD or Master's degree in Statistics, Mathematics, Finance, or a related quantitative field. - At least 15 years of progressive experience in credit risk model development, with at least 10 years in a leadership role. - Demonstrated experience in leading teams responsible for the development and implementation of enterprise-wide risk models. - Strong understanding of regulatory requirements and experience in interactions with regulatory bodies. - Experience working in a GCC/COE setup for a GSIB or consulting firm. Additional Company Details: FC Global Services India LLP, a part of First Citizens BancShares, Inc., is a global capability center based in Bengaluru. With over 125 years of legacy in strength and stability, the company values a relationship-driven culture and a long-term approach ingrained in its talented workforce. The organization's operations span across Technology, Enterprise Operations, Finance, Cybersecurity, Risk Management, and Credit Administration, offering talented individuals the opportunity to contribute to providing solutions fit for clients" greatest ambitions. If you require accommodations for the hiring process, including application, interviews, or onboarding, please inform us to ensure a seamless experience. FC Global Services India LLP is committed to providing an inclusive and accessible environment.,

As a Quant Analytics Senior Associate within the Cards Marketing Growth & Innovation function at JP Morgan Chase, your primary responsibility will be to lead the analytical book of work for pricing strategy rollouts, enhancing credit card pricing for Consumer & Community Banking customers. You will conduct hypothesis testing and use advanced experimental design techniques such as A/B tests and multivariate tests to measure the effectiveness of pricing strategies and post-performance measurement. Your role will involve conducting in-depth analysis and driving key analytics to help the Leadership Team understand the efficacy of pricing strategies. Additionally, you will partner with cross-functional teams, including Finance and Marketing, to drive impactful results. You will design and implement highly scalable and reliable data analytics processes, perform analysis, and provide insights to drive and optimize business results. Furthermore, you will synthesize data and communicate to leadership in a concise and effective manner, both verbally and in writing. Qualifications Required: - Qualified graduate / Post-Graduation degree in a quantitative discipline such as Computer Science, Statistics, Mathematics, Finance, Economics, or a Machine learning related field - 8+ years of related experience in Analytics with a strong Statistical Knowledge, including practical experience in conducting controlled experiments like A/B Tests, Causal Inference, Synthetic Control, Diff in Diff tests, etc. - Experience with customer segmentation, profiling, clustering analysis, inferential statistics, data mining, and experimental design techniques - Deep understanding of Pricing Business & data analytical techniques, and well versed with analytical research, experimentation, and empirical work - Hands-on Analytics expert experienced in delivering Analytics projects/products in the financial services domain, involving large and complex data sets in an individual contributor capacity - Banking experience in one or more US consumer credit portfolios (i.e., U.S. Mortgage, Home Equity, Credit Card, Automotive, Lease, Business Banking) - Knowledge of the Finance process especially Pricing, and macroeconomics - Leadership drive, ability to analyze problems, design solutions, and communicate effectively and confidently with relevant stakeholders to influence and gain buy-in across various job functions - Strong grasp on marketing, Pricing strategy fundamentals of consumer banking business Preferred Skills: - Solid programming skills in SAS/Python or R language is preferred - Excellent communication, interpersonal, and relationship-building skills - Ability to work effectively in a fast-paced and dynamic environment - Experience in working in an Agile working environment with strong communication - Credit Card Domain and Pricing Business knowledge preferred - Strong Experience in analytical tools like SAS, Python, Tableau - Ability to work in Shift Timing 1 PM to 10 PM IST,

As a Business Analyst in Mortgage Servicing, your primary responsibility will be to collaborate with business leaders to provide strategic analysis services. You will work closely with them to understand the strategy, processes, roadmap, and operational context of the business. Your tasks will include reviewing business processes to identify risks and engaging with stakeholders across multiple lines of business for large projects. Key Responsibilities: - Evaluate current business methods, processes, analysis, and reporting to identify opportunities for cost and risk reduction through technological resources - Lead projects with business leaders to design and implement process improvements and reporting solutions - Identify and initiate projects to improve efficiency, cost savings, and management of business activities - Create and maintain workflows, approval processes, and validation rules based on stakeholder requirements - Act as a subject matter expert on core reports, business processes, and key performance indicators - Manage report requests, automation, and scripts assignment to Developers/Systems Analysts - Support testing of system upgrades and implementation of new systems - Review new client, investor, and vendor contracts to ensure timely delivery of reports - Drive and challenge business units on plan execution assumptions - Provide leadership and mentorship to team members and peers - Develop strategies to minimize end user resistance to change with automation - Engage with senior management and articulate ideas effectively - Assist in the development of training initiatives and provide support for mortgage servicing software Qualifications Required: - Bachelor's degree in Business Administration, Engineering, Mathematics, Accounting, Finance, or Information Technology - 5+ years of experience in Business Intelligence Tools, Data Warehousing, SQL, or MIS reporting - Strong verbal and written communication skills - Problem-solving and root cause identification skills - Ability to manage multiple priorities effectively - Ability to adapt to changing conditions and unexpected obstacles - Proficiency in Microsoft Applications If you are looking for an opportunity where you can utilize your analytical skills and collaborate with business leaders to drive process improvements and efficiency in mortgage servicing, this role might be the perfect fit for you.,

Role Overview: As a Senior Consultant in the National Assurance team at EY, you will be a part of the ASU - CCaSS - CCaSS Services division, working across various industries to inspire confidence and trust in the public interest. Your role will involve ensuring that client accounts comply with audit standards, providing clear perspectives to audit committees, and offering critical information to stakeholders. Key Responsibilities: - Conducting Audit Analytics including Journal entry testing, NPA analytics, Consumer/Mortgage lending analysis, and more - Developing automated analytics models for statutory audit enablements - Extracting data from client ERPs and implementing algorithms in appropriate tools - Utilizing Risk-based analytics and visualization tools like Tableau, Spotfire, or Qlikview - Hands-on experience in Machine Learning using R or Python with a strong statistical background - Proficiency in MS Office Suite, advanced Excel skills, and experience in NLP, Web Scraping, TensorFlow, AI, etc. Qualification Required: - BE/ B.Tech, MSC in Computer Science/Statistics, or M.C.A - 5-7 years of industry and consulting exposure Additional Company Details: EY is committed to investing in the skills and learning of its employees, providing personalized Career Journeys and access to career frameworks. The organization values inclusivity and strives to maintain a balance between delivering excellent client service and supporting employee well-being. EY offers a collaborative work environment where individuals can contribute to shaping the future with confidence. If you believe you meet the qualifications and are ready to work collaboratively in a dynamic environment, we encourage you to apply for this exciting opportunity at EY.,

Role Overview: As a Credit Strategy Senior Analyst at Allica Bank, you will play a crucial role in shaping the lending proposition and contributing to strategic decisions for managing risk in a loan portfolio of 3bn and growing. Your expertise in data analytics, credit products, and SME financing will be instrumental in enhancing Allica's competitive advantage and market success. This dynamic position will provide you with exposure to senior stakeholders and the opportunity to influence how data is utilized and portfolio decisions are made at Allica. Key Responsibilities: - Conduct in-depth analysis of emerging risk and opportunity areas, offering key insights to the Lending Leadership team. - Align Allica's lending appetite, product development, and growth strategies with areas having the optimal risk-reward balance to drive in-market actions. - Collaborate with cross-functional teams to design and execute credit strategy changes based on data analytics. - Utilize internal and external data sources to develop innovative solutions that differentiate Allica in the market. - Implement automated monitoring processes to identify risks, opportunities, and trends, and enhance monitoring infrastructure. - Create data analysis tools and frameworks to identify areas of risk and opportunity. - Maintain data-driven dashboards to facilitate quick decision-making and provide insights. - Assist in credit risk forecasting, including impairments under IFRS9, Probability of Default, Loss Given Default, Exposure at Default, and Expected Loss. - Review and challenge the IFRS9 model methodology and assumptions. - Support the development of insightful reporting for core decision-making committees. Qualifications Required: - Experience in Commercial Lending, Mortgages, Asset Finance, and Working Capital facilities. - Proficiency in credit risk portfolio analysis, credit risk policies, and IFRS9. - Familiarity with PD, LGD, EAD, and SICR models. - Previous experience in a data-driven or credit risk-related role, with proficiency in SQL and Python. - Strong proficiency in Microsoft Office suite, especially Excel and PowerPoint. - Excellent problem-solving and decision-making skills. - Bachelor's or master's degree in finance, economics, mathematics, or a quantitative field. - Self-motivated, able to prioritize objectives, and driven to make a difference. - Excellent communication and interpersonal skills to foster effective collaboration. If you believe you possess the qualities to excel in the role at Allica Bank, we encourage you to apply even if you do not meet all the specified requirements. Allica Bank promotes flexible and hybrid working arrangements to accommodate diverse preferences. The company values diversity, inclusion, and individual experiences to create a supportive and welcoming work environment for all employees.,

You will be a Risk Management Associate at RiskSpan, a leading provider of innovative analytics solutions for market risk, credit risk, pricing, and trading. Your role will involve designing and implementing processes for risk management, data analysis, and financial modeling for Structured Products, Whole Loans, MSRs, and Private Credit. You will analyze large datasets to identify trends and actionable insights for decision-making. Additionally, you will assist with client onboarding, deliver customized solutions tailored to clients" analytical needs, and support client success. Your responsibilities will also include enhancing operational workflows by automating processes and improving system efficiency. Key Responsibilities: - Design and implement processes for risk management, data analysis, and financial modeling for Structured Products, Whole Loans, MSRs, and Private Credit. - Analyze large datasets to identify trends and actionable insights for decision-making. - Assist with client onboarding and deliver customized solutions tailored to clients" analytical needs and support. - Enhance operational workflows by automating processes and improving system efficiency. Qualifications: Must Have: - Educational Background: Bachelors or Masters degree in Statistics, Mathematics, Engineering, Finance, or a related quantitative field. - Technical Expertise: 2-4 years of hands-on experience in Python scripting and development. - System Proficiency: Strong understanding of Unix/Linux-based systems, including command-line operations and process management. - Domain Knowledge: Experience working on projects involving Structured Products (CMBS, RMBS, CLOs, and CDOs) or Mortgages loan. Good to Have: - Domain Knowledge: Familiarity with Fixed Income, Financial modeling and Risk management, Structured products, and the US mortgage market. - Certifications: CFA/FRM charter holders or candidates pursuing these certifications. In addition to the above, RiskSpan fosters a collaborative and performance-driven culture that values work-life balance and professional development. Their mission is to be the most trusted source of data and analytics for informed decision-making across financial investments and risk management. Work timings are from 12:00 PM IST to 9:00 PM IST with flexibility required. The preferred location is Bangalore, India, with a remote/hybrid work model of 1-2 days in the office.,

As an Assistant Manager, Quant Modeling at Ocwen, you will be responsible for executing, monitoring, and recalibrating various statistical models. Your role will involve automating model execution using Python, R, and SQL, as well as developing new Statistical and Machine learning models across different business units within the organization. Effective communication skills will be essential as you present complex statistical/data science projects to non-technical audiences. Key Responsibilities: - Run and execute existing Statistical, Machine learning, and analytical models using Python, R, and SQL to support various business needs. - Prepare and conduct periodic model monitoring and recalibration to ensure model performance and compliance. - Create scripts and tools to automate repetitive tasks and data pipelines, enhancing efficiency and accuracy. - Design and present visualizations to effectively communicate insights to stakeholders. - Extract, transform, load, and analyze data to ensure data integrity and readiness for analysis. - Build and validate predictive models, applying machine learning techniques to forecast trends and behaviors. - Extract and analyze large datasets to identify patterns, correlations, and anomalies, utilizing Statistical methods and machine learning algorithms. - Produce and maintain comprehensive documentation for each model. - Prepare and deliver Powerpoint presentations to communicate model results, insights, and recommendations to stakeholders. - Propose innovative modeling methods to improve business processes and support emerging opportunities. - Clearly communicate results of modeling projects to senior management. - Stay updated on advancements in statistical modeling and data processing methods. Qualifications Required: - 5+ years of experience in statistical modeling/decision science in the financial services industry. - Bachelor's or master's degree in a quantitative discipline such as Data or Computer Science, Economics, Statistics, or Engineering. - Strong hands-on experience with Python, R, and SQL for data modeling and statistical analysis. - Certifications in Data Science, Machine learning, Business Analytics, or Advanced Statistical Analysis preferred. - Knowledge of statistical tools and data mining techniques. - Experience in automating reports and processes using scripts in Python, R, or SQL. - Experience in mortgage servicing or finance and banking industry will be a plus. - Demonstrated ability to manage and deliver complex cross-enterprise modeling and analytic projects. - Global or multi-national business experience is strongly preferred.,