Location: India

About The Role

As an Assistant Vice President in our Financial Risk Aggregation and Analytics (FRAA) team, you’llbe at the intersection of financial markets, data analytics, and risk management. You’ll leverageyour technical and analytical skills to provide critical insights that shape our risk strategy andreporting processes.

Key Responsibilities

• Monitor and analyze Market and Credit risk portfolio exposures for Swiss Re group,performing change & impact analysis and presenting key business drivers to management
• Develop innovative tools to improve data consistency and identify irregularities in the riskaggregation and reporting process
• Conduct advanced analytics n large-scale data, interpreting results and presentingsimplified insights to management
• Identify and lead projects to enhance measurement and attribution of Risk Metrics likeStress, VaR, SPLC, and Shortfall
• Ensure quality delivery of day-to-day reporting with appropriate analysis, timeliness, andconsistency across reporting dimensions
• Address stakeholder requests efficiently while maintaining service excellence
• Drive continuous improvement of risk reports and reporting processes through fast-developed IT solutions
• Communicate effectively with Credit Underwriting, Asset Management, Treasury and otherbusiness units, articulating actionable feedback on events, exposures and issues impactingSwiss Re’s risk profile

About The Team

The Financial Risk Aggregation and Analytics (FRAA) team within Solvency and Financial RiskManagement (SFRM) is responsible for collecting and aggregating Swiss Re’s firm-wide financialmarket and credit risks. We produce various analytics and periodic reports for internal andexternal stakeholders with a strong focus on analysis, timeliness, and quality. Our team worksclosely with Market Risk Managers, Credit Risk Managers, Credit Underwriters, Asset Managers, and Treasury to align reporting needs in a fast-changing environment. We emphasize strong ITcapabilities for efficient implementation of reporting processes.

About You

You’re a detail-oriented analytical thinker with excellent communication skills and a passion forfinancial risk management. You thrive in a collaborative environment where you can apply yourtechnical expertise to solve complex problems. Your ability to translate complex data intoactionable insights makes you an invaluable partner to stakeholders across the organization.

We Are Looking For Candidates Who Meet These Requirements

• Good academic track record in Engineering, Data Science, Finance or Mathematics(Bachelors/Masters) or a professional designation such as CFA, CQF or FRM
• 7-8 years of experience in the financial services or insurance sector with a goodunderstanding of financial products (fixed income, equities and derivatives) and counterparty credit risk
• Solid IT & analytical skills with exposure to at least one scripting language (e.g. Python, R),data modeling, and SQL
• Good communication skills with an ability to articulate technical topics in simple terms
• Strong organizational skills with ability to handle multiple priorities and meet deadlines

Lead the design and development of advanced quantitative and AI-driven models for market abuse detection across multiple asset classes and trading venues. Drive the solutioning and delivery of large-scale surveillance systems in a global investment banking environment, leveraging Python, PySpark, big data technologies, and MS Copilot for model development, automation, and code quality. Play a pivotal role in communicating complex technical concepts through compelling storytelling, ensuring alignment, and understanding across business, compliance, and technology teams.

Key Responsibilities

• Architect and implement scalable AI/ML models (using MS Copilot, Python, PySpark, and other tools) for detecting market abuse patterns (e.g., spoofing, layering, insider trading)

across equities, fixed income, FX, and derivatives.

• Collaborate closely with consultants, MAR monitoring teams, and technology stakeholders to gather requirements, share insights, and co-create innovative solutions.
• Translate regulatory and business requirements into actionable technical designs, using storytelling to bridge gaps between technical and non-technical audiences.
• Develop cross-venue monitoring solutions to aggregate, normalize, and analyse trading data from multiple exchanges and platforms using big data frameworks.
• Design and optimize real-time and batch processing pipelines for large-scale market data ingestion and analysis.
• Build statistical and machine learning models for anomaly detection, behavioural analytics, and alert generation.
• Ensure solutions are compliant with global Market Abuse Regulations (MAR, MAD, MiFID II, Dodd-Frank, etc.).
• Lead code reviews, mentor junior quants/developers, and establish best practices for model validation and software engineering, with a focus on AI-assisted development.
• Integrate surveillance models with existing compliance platforms and workflow tools.
• Conduct backtesting, scenario analysis, and performance benchmarking of surveillance models.
• Document model logic, assumptions, and validation results for regulatory audits and internal governance.

Skills And Experience

Technical Skills:

• Advanced AI/ML modelling (Python, PySpark, MS Copilot, kdb+/q, C++, Java)
• Must be well versed with SQL and have hands on experience writing SQL (preferably Spark SQL) that is productionized (not ad-hoc queries) for at least 2-4 years
• Familiarity with Cross-Product and Cross-Venue Surveillance Techniques particularly with vendors such as Trading Hub, Steeleye, Nasdaq or NICE
• Statistical analysis and anomaly detection
• Large-scale data engineering and ETL pipeline development (Spark, Hadoop, or similar)
• Market microstructure and trading strategy expertise
• Experience with enterprise-grade surveillance systems in banking.
• Integration of cross-product and cross-venue data sources
• Regulatory compliance (MAR, MAD, MiFID II, Dodd-Frank)
• Code quality, version control, and best practices.

Soft Skills

• Strong storytelling and communication for technical and non-technical audiences
• Collaboration with consultants, MAR monitoring teams, and technology stakeholders
• Stakeholder management and requirements gathering
• Leadership, mentoring, and team guidance
• Problem-solving and critical thinking
• Adaptability and continuous learning

Qualification

• 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 (e.g., CFA, FRM, CQF) are must

At PwC, our people in operations consulting specialise in providing consulting services on optimising operational efficiency and effectiveness. These individuals analyse client needs, develop operational strategies, and offer guidance and support to help clients streamline processes, improve productivity, and drive business performance. Those in customer service at PwC will specialise in improving customer service operations and enhancing customer experiences. You will work closely with clients to analyse customer service processes, identify pain points, and develop strategies to optimise service delivery, increase customer satisfaction, and drive loyalty. Working in this area, you will provide guidance on implementing customer service technologies, designing service models, and developing customer-centric service cultures.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Analyse and identify the linkages and interactions between the component parts of an entire system.
• Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
• Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
• Develop skills outside your comfort zone, and encourage others to do the same.
• Effectively mentor others.
• Use the review of work as an opportunity to deepen the expertise of team members.
• Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm’s code of conduct, and independence requirements.

PwC Role Profile: Manager – Risk Management

Role Summary

As a Manager, you will lead project delivery and client relationships in risk management engagements. You will oversee work across market, counterparty, credit, and model risk while managing teams and contributing to practice development.

Key Responsibilities

• Lead day-to-day client engagement, ensuring quality and timely delivery.
• Design solutions for risk frameworks (e.g., FRTB implementation, CCR methodologies, model governance).
• Serve as primary point of contact for client stakeholders at VP/Director levels.
• Manage project plans, budgets, and reporting.
• Supervise, coach, and mentor senior associates and associates.
• Contribute to proposals and thought leadership.

Skills & Experience

• 8–11 years of consulting or risk management experience.
• Expertise in at least one domain, with strong working knowledge across others.
• Proven ability to lead projects and teams.
• Regulatory knowledge and ability to interpret supervisory expectations.

Qualifications

• Bachelor’s degree required; Master’s preferred.
• CFA, FRM, PRM, or CQF strongly preferred.

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm’s employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career – a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

Department Profile

Firm Risk Management (FRM) supports Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient risk-adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses as a result of credit, market, liquidity, model and other risks.

Background on the Group

Morgan Stanley’s Risk Analytics department that resides within Firm Risk Management (FRM) performs quantitative analysis on the Firm’s Credit, Market, Operational, and Liquidity risk exposures. The department’s primary objective is to measure and project risks across the Firm to support executive decisions and protect the Firm. Risk Analytics has main presence in New York and London and attracts talent in Budapest and Mumbai.

Position Background And Responsibilities

Morgan Stanley recruits quantitative research associates for the Risk Analytics Department. The ideal candidate will be actively involved in market risk modeling and statistical analysis of Morgan Stanley’s portfolios for the Market Risk Department. The Market Risk Analytics group develops, maintains, and monitors the performance of market risk (VaR, Stressed VaR, IRC and CRM) and stress testing models for Morgan Stanley’s portfolio of assets, as required by the regulatory framework and the Firm’s risk management needs. Strong problem-solving abilities, solid writing, and oral presentation skills are desired. The candidate should be able to work in fast-paced environment and willing to learn and evolve along with the role.

Primary Responsibilities Include, But Are Not Limited To

• Development, enhancement and maintenance of portfolio market risk models like IRC, CRM and DRC to ensure ongoing appropriateness and adaptations to new regulations
• Contribution to key regulatory deliverables and programs as well as analysis and interpretation of key regulatory requirements.
• Ensure robust implementation and timely completion of ongoing monitorings and evaluation of market risk models, review existing models to ensure they remain fit for purpose and make improvements where necessary.
• Take ownership of assigned deliverables and ensure timely, accurate and thorough analysis
• Document models and associated developmental analysis; present results to partners and stakeholders

Skills Required

• 4-7 years of work experience in Quantitative modeling, Risk Management, Algorithmic trading, Global markets, or any other quantitative/Data Science field.
• Deep understanding of quantitative risk including good knowledge of statistical modelleing, financial products and their risk representation.
• Excellent mathematical, analytical, problem solving and troubleshooting skills
• Strong programming skills and demonstrable experience in coding numerical methods and algorithms, data analysis and manipulation
• Advanced knowledge of at least one prototyping programming language (preferably Python) and preferably experience/knowledge of professional development concepts and technologies and modern development toolchain
• An interest in working in a fast-paced environment, often balancing multiple high priority deliverables.

Required Qualifications

• Postgraduate/ Advanced degree in Quantitative Finance, Mathematics, Econometrics, Engineering, or other Quantitative subjects.

Desirable Skills

• FRM, CFA, CQF certification is an advantage.

• Familiarity with pricing models of capital markets products including exotic derivatives and various risk management practices.
• The candidate should display a thorough knowledge of derivative instruments, pricing and valuation as well as risk profiles.
• Model implementations using regression methods, Monte Carlo simulation, tree method and PDE approaches.
• Knowledge of quantitative risk management models, stochastic calculus, statistics and numerical resolution methods.
• Knowledge of VBA, SAS, MatLab, R, Python, Eviews, C++ etc. will be an added advantage
• A CQF/CFA/FRM qualification would be an advantage.

Please see job role.

Your key responsibilities

• Engagement Leadership
  • Demonstrate deep technical capability and industry knowledge of financial products
  • Be the technical lead and subject matter expert in the following areas:
    • Model Risk Management /model development/validation knowledge in market risk (VaR, Stressed VaR, Expected Shortfall, etc.) and/or counterparty credit risk (CVA, PFE, etc.).
    • Working knowledge of statistical and numerical techniques (E.g., Monte-Carlo methods, Finite difference methods)
    • Equity pricing models, Interest Rate Models (HW1F, HW2F, HJM, LMM), Stochastic Volatility (SABR, Heston) model, Local Volatility model (Dupire), frameworks for Volatility stripping and calibration, Bootstrapping of IR curves (Single curve, Multi curve framework), Asset Liability Management (NII, MVPE) and Prepayment Models
    • Knowledge of mathematical concepts like Stochastic Calculus, Differential and Integral calculus (ODE/PDE/SDE), Numerical Methods, Linear algebra, Measure Theory.
    • Pricing derivatives for any of the asset classes such as fixed income, equities, credit, interest rates, FX, and commodities.
    • Programming languages like Python/R/C++

 

• • Advise and provide clients with strategic recommendations on Financial Services Risk Management issues facing the financial services sector, focusing on the identification, measurement, and management of Traded Products Risk and Capital
  • Participate in Quantitative Risk and Assurance engagements such as derivatives pricing, market risk and counterparty credit risk modelling and model validation support.
  • Understanding clients’ unique ambitions and needs and referring them to colleagues in other teams and areas to broaden our business relationships

 

• Go-To-Market
  • Drive and lead business development initiatives
  • Provide sales and pursuit enablement support
  • Lead expansion of business in various accounts and sectors by expanding and leveraging the relationships and contacts in the market
  • Experience in stakeholder and client management
  • Build and maintain long-term relationships both in the market and within the wide-ranging EY network

 

• People responsibilities
  • Conduct performance reviews and contribute to performance feedback for Senior Consultants and Managers
  • Contribute to people initiatives including recruiting talent
  • Maintain an educational program to continually develop personal skills

 

• Intellectual capital building responsibilities
  • Play your part in developing intellectual capital to support delivering superior outcomes for client and firm
  • Provide insights in creating thought leadership articles and white paper in the areas of upcoming market risk topics and trends.

 

To qualify for the role, you should have

• Undergraduate (4-year degree) or Masters (Computational Finance, Mathematics, Engineering, Statistics, or Physics preferred) or Ph.D. in quantitative topics with at least 11+ years of relevant industry experience and track record.
• Professional Qualification e.g., CQF / CFA / FRM / PRM would be preferred
• Significant experience in application and justification of statistical and numerical techniques and principles of the theory of probability.
• Good understanding of Derivative Pricing, Market risk measurement and CVA methodologies used for the trading, risk management and ideally calculation of regulatory capital requirements.
• Modelling background, including experience in model development and model validation
• Excellent communication, strong problem solving and solution development skills
• Project management and report writing experience
• Ability to drive business development and contribute to the growth of the EY solutions
• Willingness to travel to meet client needs
• A self-starter, can-do attitude with energy and willingness to try new things

Everything you’ll do will come back to providing exceptional services to our clients. Colleagues and clients will look to you to lead components of the project, drive high quality results while coaching & motivating staff and managing client expectations. You will build your knowledge and experience, become a trusted advisor, and take your career to new heights.