1 Dodd Frank Jobs nearby Coimbatore

As an experienced Business Analyst with 10+ years of Investment Banking domain expertise, your role will involve supporting financial systems, trading workflows, regulatory initiatives, and technology modernization programs. You should possess strong functional knowledge of front-office, middle-office, and back-office investment banking operations along with hands-on exposure to technical tools, data analysis, and process automation. Key Responsibilities: - Act as the primary liaison between business stakeholders, product teams, and technology teams for investment banking initiatives. - Gather, analyze, and document business requirements (BRD, FRD, User Stories) for trade lifecycle processes and financial products. - Work on regulatory and compliance-driven projects such as MiFID II, EMIR, Dodd-Frank, FATCA, KYC/AML, and risk reporting. - Support system enhancements for Front Office Trading Platforms, Order Management Systems (OMS), and Execution Management Systems (EMS). - Perform detailed gap analysis, impact analysis, workflow mapping, and data flow documentation. - Coordinate with QA teams for test case preparation, UAT management, defect tracking, and production validation. - Partner with technology teams for solution design involving pricing systems, risk engines, market data feeds, and downstream settlements systems. - Analyze large datasets to support decision-making for trading, operations, and compliance teams. - Prepare dashboards, MIS reports, and regulatory reporting summaries. - Ensure process improvement, automation, and operational efficiency across trade lifecycle functions. - Facilitate user training, knowledge transfer, and documentation for system rollouts. Technical Expertise Required (Investment Banking Specific): - Trading & Product Knowledge: Equities, Fixed Income (Bonds), FX, Derivatives (Futures, Options, Swaps), Trade lifecycle management. - Tools & Platforms: Experience with OMS/EMS platforms, exposure to risk systems, familiarity with portfolio management systems. - Data & Analytics: SQL, Advanced Excel, Knowledge of Python, Experience with data visualization tools. - Integration & Interfaces: Understanding of FIX protocol, SWIFT messaging, trade feeds, reconciliation tools, Experience with API-based integrations. General Skills: - Strong analytical and problem-solving abilities. - Excellent communication and stakeholder management. - Experience working in Agile/Scrum environments. - Ability to prepare clear documentation (BRD, FRD, Use Cases, Process Flows). - High attention to detail and regulatory awareness. Qualifications: - Bachelors/Masters degree in Finance, Business, Economics, Engineering, or related field. - Minimum 10 years of experience as a Business Analyst in Investment Banking or Capital Markets. - Relevant certifications (optional): CFA (Level 1/2 preferred), FRM, Certified Business Analyst Professional (CBAP), Investment Banking domain certifications. Please note that the Job Type is Full-time with benefits including health insurance, paid sick time, and Provident Fund. The work location is in person at Coimbatore.,

Role Overview: As the Team Manager, you will lead and oversee a team of Trade Surveillance Analysts. Your responsibilities will involve coordinating daily activities, motivating and coaching the team for excellence, ensuring SLAs are consistently met, identifying opportunities for process improvements, and managing all pertinent reporting. Key Responsibilities: - Co-ordinate and manage the day-to-day activities of the team - Motivate, coach, and develop the team to achieve excellence in daily deliverables - Ensure key SLAs of the Process are met consistently - Recognize opportunities for improvements and offer proactive ideas and solutions - Encourage team input into procedures and practices, assisting in developing their ideas - Responsible for all pertinent Reporting Qualifications Required: - 10+ years of experience in trade surveillance with 3+ years in a leadership role in a bank, regulator, or similar financial institution - Effective management and leadership skills - Strong knowledge of market abuse behaviors and tactics - Solid understanding of global regulatory frameworks and regulations such as MiFID II, MAR, Dodd-Frank - Proficiency in surveillance tools such as NICE Actimize, Nasdaq, Trading Hub, Reuters, Bloomberg - Exposure to FX, Commodities is beneficial Company Details: Guidehouse offers a comprehensive total rewards package, including competitive compensation and a flexible benefits package that reflects their commitment to creating a diverse and supportive workplace.,

As a candidate for the position at Standard Chartered, you will be responsible for leading the design and development of advanced quantitative and AI-driven models for market abuse detection across multiple asset classes and trading venues. You will drive the solutioning and delivery of large-scale surveillance systems in a global investment banking environment, ensuring alignment of technical solutions with business objectives and regulatory requirements. Your key responsibilities will include: - Collaborating with consultants, MAR monitoring teams, and technology stakeholders to gather requirements and co-create innovative solutions - Translating regulatory and business requirements into actionable technical designs using storytelling to bridge gaps between technical and non-technical audiences - Integrating surveillance models with existing compliance platforms and workflow tools You will be expected to architect and implement scalable AI/ML models for detecting market abuse patterns using tools such as Python, PySpark, and MS Copilot. Additionally, you will develop cross-venue monitoring solutions, design and optimize real-time and batch processing pipelines, and conduct backtesting and performance benchmarking of surveillance models. Furthermore, you will lead code reviews, mentor junior quants/developers, and establish best practices for model validation and software engineering. You will also build statistical and machine learning models for anomaly detection, behavioral analytics, and alert generation, ensuring compliance with global Market Abuse Regulations. Qualifications: - Bachelor's or Master's degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Engineering, Physics, or Economics from a recognized Indian university - Additional certifications in Data Science, Machine Learning, or Financial Engineering are a must Skills and Experience required for this role include: - Advanced AI/ML modeling using Python, PySpark, MS Copilot, kdb+/q, C++, Java - Proficiency in SQL with hands-on experience in writing productionized queries for at least 2-4 years - Familiarity with Cross-Product and Cross-Venue Surveillance Techniques - Statistical analysis, anomaly detection, and large-scale data engineering - Market microstructure and trading strategy expertise - Experience with enterprise-grade surveillance systems in banking - Regulatory compliance knowledge (MAR, MAD, MiFID II, Dodd-Frank) - Code quality, version control, and best practices About Standard Chartered: Standard Chartered is an international bank that has been making a positive difference for over 170 years. The bank values diversity, inclusion, and continuous improvement, offering a purpose-driven career opportunity where your unique talents are celebrated and valued. Benefits offered by Standard Chartered include core bank funding for retirement savings, medical and life insurance, flexible working options, time-off benefits, proactive wellbeing support, continuous learning opportunities, and an inclusive work culture that embraces diversity. If you are looking for a career with purpose and enjoy challenging opportunities that make a difference, Standard Chartered welcomes your application. As a candidate for the position at Standard Chartered, you will be responsible for leading the design and development of advanced quantitative and AI-driven models for market abuse detection across multiple asset classes and trading venues. You will drive the solutioning and delivery of large-scale surveillance systems in a global investment banking environment, ensuring alignment of technical solutions with business objectives and regulatory requirements. Your key responsibilities will include: - Collaborating with consultants, MAR monitoring teams, and technology stakeholders to gather requirements and co-create innovative solutions - Translating regulatory and business requirements into actionable technical designs using storytelling to bridge gaps between technical and non-technical audiences - Integrating surveillance models with existing compliance platforms and workflow tools You will be expected to architect and implement scalable AI/ML models for detecting market abuse patterns using tools such as Python, PySpark, and MS Copilot. Additionally, you will develop cross-venue monitoring solutions, design and optimize real-time and batch processing pipelines, and conduct backtesting and performance benchmarking of surveillance models. Furthermore, you will lead code reviews, mentor junior quants/developers, and establish best practices for model validation and software engineering. You will also build statistical and machine learning models for anomaly detection, behavioral analytics, and alert generation, ensuring compliance with global Market Abuse Regulations. Qualifications: - Bachelor's or Master's degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Engineering, Physic