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Employment Type: Full-time

Financial Services Risk Management (FSRM) Senior Associate

As part of the SGV Financial Services Risk Management (FSRM) practice, you will provide a well-integrated broad array of risk management services to capital market participants within global banking, capital markets, asset management and insurance. FSRM products and services include Regulatory Compliance, Prudential Supervision (including capital management and capital adequacy), Bank Holding Company reporting, Credit Risk, Liquidity Risk, Market Risk, Operational Risk, Interest Rate Risk, Strategic Risk, Enterprise Risk, Structured Finance, Sustainable finance (Environmental, Social and Governance (ESG) Risk Management and Integration), and Quantitative Advisory Services.

 

Your Key Responsibilities

  • Active involvement in projects in financial risk modelling, credit risk, market risk, operational risk, methodology designs and reviews by large and international banks
  • Based on the results of analyses and research, draw meaningful conclusions and recommendations for our clients
  • Drive the preparation of reports and presentations
  • Supervise and coach assistants, monitor and report delivery status
  • ·Preparation of proposals, project plans for prospective clients

To qualify for the role you must have

  • A bachelor’s degree in Economics, Mathematics, Statistics, Physics, and other related programs
  • Minimum of 3 years’ experience preferably at financial institutions in the field of risk management
  • Credit risk modeling (scoring and rating models, PD and LGD modeling)
  • Interest rate in the banking book (IRRBB) modeling
  • Market risk modeling, valuation of financial derivatives and financial instruments or
  • Experience in regulatory issues in banking and financial industries (BSP, Basel II/III, IFRS 9, IFRS 13)
  • Statistical and numerical techniques and the principles of the theory of probability and stochastic calculus
  • Functional knowledge and experience with statistical and numerical techniques and business acumen
  • Experience working in a financial product engineering/research and development environment designing and developing quantitative methods and services for capital market products
  • Strong interest in economic analysis / financial data analysis / applied statistics
  • Knowledge of the financial markets and the banking industry
  • Leadership as well as proven project management skills
  • Excellent written and verbal communication skills
  • Relevant professional qualifications are a plus. e.g CFA/CQF/FRM/ERM/SCR/PRM/CPA

Valuation Services – Derivatives & Structured products – Senior Manager (m/f/d)

Be a part of our team where you will:

  • Be part of a dynamic and entrepreneurial workplace environment, where you are valued for the unique contribution and perspectives you bring;
  • Benefit from our ‘Valuation Learning Pathway’, a unique and distinctive program that will allow you to grow as a valuation professional;
  • Benefit from a large choice of internal and external trainings;
  • Diversify the opportunities to build practical knowledge by working on a wide spectrum of asset valuation or otherwise related topics;
  • Diversify your client experience by working directly with top private and public clients of all sizes in Alternatives;
  • Participate in our Corporate Social Responsibility activities;
  • Take advantage of our comprehensive benefits, which help you find flexibility with your work.

Let’s talk about you. If you have …

  • +10 years of experience in the valuation of derivatives, structured products and illiquid financial instruments, ideally gained within a Big 4, an asset management environment or a financial institution.
  • Master’s degree in finance, financial engineering, mathematics applied to finance, or from a leading business school.
  • Demonstrated leadership and team management experience, with a proven ability to coach and inspire professionals.
  • Strong project management and multitasking skills, able to handle multiple high-profile engagements under tight deadlines.
  • Strong expertise a wide range – from simple to complex derivatives & structured products – alongside corresponding valuation methodologies.
  • Knowledge of IFRS standards related to valuation (IFRS 9, IFRS 13, IFRS 7).
  • Strong soft skills: analytical mindset, rigor, problem-solving ability, client orientated, and resilience under pressure.
  • Proficiency in financial tools such as Bloomberg, Refinitiv, Super Derivatives, with advanced knowledge of Excel/VBA.
  • Excellent communication and interpersonal skills in English (written and spoken).
  • Professional qualifications (CQF, CFA, FRM, CAIA, etc.) are considered an asset but not required.

Credit Risk – Senior Associate – Bangalore

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Skills

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

Credit Risk Analytics Professional Job Specification: Candidate would be responsible for developing, validating, auditing and maintaining credit risk models. Candidates would be expected to support financial institutions on meeting jurisdictional regulatory requirements and their broader risk management initiatives.

Experience level 4-7 years of experience;

Location: Bangalore

Core Skill Requirements

Candidate must have relevant experience in in statistical / mathematical modeling, quantitative research, credit risk management, or related field at a reputed bank, investment or broker services, asset management firm, Insurance provider or a consulting firm. Wider skill requirements include:

  • Experience in Credit Risk Modeling PD/LGD/EAD – TTC, PIT, Stressed and unstressed portfolio
  • Experience in Model Development, Model Validation, Model Audit (implementation and execution experience will not be considered directly relevant)
  • Knowledge of one or more of global regulatory norms – CECL, IFRS 9, CCAR/DFAST, Basel II/III, SR-11/7, E-23 around data sufficiency, modeling methods, industry standards etc.
  • Well versed with one or more statistical techniques used in credit risk modeling – Logistic Regression, Time series, OLS, Probit models, Survival techniques, Tobit, Fractional Logistic, Beta model, State Transition Matrix, Single Factor Merton model etc
  • Experience in Machine learning algorithms like Random Forest, SVM, Neural Network etc. and Artificial Learning use cases such as Natural Language Processing, Robotics etc. will be a plus
  • Proficiency in one or more analytical tools such as SAS, R, Python, Matlab, Scala, VBA etc. Experience in Data Science and cloud based analytics platform will be a plus
  • Understanding of credit risk metrics like RWA, Expected loss, Regulatory and Economic capital, OTTI, Watchlist, Asset quality etc.
  • Conceptual understanding of the data and methodology used for credit risk regulatory models
  • Leveraging experiential know-how of a wide range of loan types, including C&I, CRE, RRE, ABL, Leasing, Credit Card, Vehicle, Personal etc.
  • Prior experience in domains like commercial banking, retail banking, treasury, investment management and strong knowledge of risk data analysis and development, strategy design and delivery deployment.
  • Vendor Experience
  • Experience in bureau data from credit unions e.g. D&B, Experian, Equifax, Transunion
  • Experience in vendor models and ratings like Fitch, Credit pro, Moody etc. o Knowledge about external / benchmark models on consumer portfolios is a plus (FICO Score, Standards and Poor’s, Fitch or Moody’s Ratings)
  • Selecting, implementing and/or using commercial credit risk workflow, analytics- e.g., Moody’s KMV, S&P and/or, reporting technologies- e.g., Oracle, Cognos, et al

Non-functional skill requirements: In order to succeed in PwC Risk CoE, it is desirable for candidates to possess:

  • Understanding of market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client’s business
  • Excellent oral and written communication skills
  • Solid analytical and problem-solving skills; ability to isolate and solve issues using large amounts of data
  • Process orientation with strong technical skills and attention to detail
  • Deep technical capabilities and industry knowledge of financial products
  • Willingness to travel to meet client needs, as needed

Educational Background: Desired candidate must have a master’s degree or higher in a quantitative discipline such as Economics, Statistics, Mathematics, Operation Research, Econometrics, Data Science, Finance, Engineering + MBA; advanced degree is a plus; Industry relevant certifications in CQF, FRM, CFA, CPA certification is a plus

Senior Quantitative Risk Analyst

We are always looking for talented and motivated colleagues to join our team and together, contribute to the creation of a sustainable future, based on inclusion, empathy, respect and equal opportunities.

The main goal is identifying, analyzing and mitigating potential risks that could impact the company.

Together with us, you have the chance to grow everyday, contributing to energy transition, being responsible to:

  • Design, implement, and validate quantitative risk models for financial, operational, and market risks.
  • Apply advanced statistical techniques (hypothesis testing, regression analysis, confidence intervals, etc.) to assess risk drivers.
  • Develop forecasting models for risk trends and exposures.
  • Conduct Value at Risk (VaR), Profit at Risk (PaR), stress-testing analysis, Monte Carlo simulations and stochastic modeling techniques to quantify potential outcomes under uncertainty.
  • Document model assumptions, limitations, and validation results in line with best practice and governance requirements.
  • Provide training and guidance to junior analysts in the use of advanced quantitative methods.
  • Collaborate with other departments (Trading, Treasury, Operations etc) to integrate quantitative risk insights into business decision-making.
  • Prepare clear, concise, and actionable reports for management.

What You’ll Need To Succeed

  • At least 5 years of proven experience in statistics / quantitative analysis
  • Experience in energy sector risk management or commodity markets is a plus.
  • Bachelor’s degree (mandatory) or Master’s degree (preferred) in Statistics, Mathematics, Quantitative Finance, Finance, Economics, Engineering, or related field.
  • Certifications like Certificate in Quantitative Finance (CQF), Financial Risk Manager (FRM), Certified Risk Manager (CRM), Professional Risk Manager (PRM) or equivalent are a strong plus.
  • Technical excellence in quantitative / statistical / stochastical modeling.
  • Competence in at least one statistical software / programming language: Python, R, MATLAB, or SAS is a strong plus.
  • Knowledge of COSO ERM and/or ISO 31000 risk management frameworks is a plus.
  • Excellent communication and presentation skills.
  • Strong analytical and problem-solving skills.
  • Curiosity, innovation, and continuous learning mindset.
  • Strong ethical standards and commitment to risk governance.

Manager – Risk & Reg – Sales & Trading Operations

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.

Trader

Please see job role.

Quant Strategist

Pension Insurance Corporation (“PIC”) provides secure retirement incomes through comprehensive risk management and excellence in asset and liability management, as well as exceptional customer service. Our purpose is to pay the pensions of our current and future policyholders. We achieve our purpose by setting Company-wide strategic objectives and driving a healthy culture based on our PIC Values of Resilient, Adaptable, and Loyal.

PIC is recruiting for a Quant Strategist to join its ALM Securities & Derivatives function. This function sits at the core of PIC’s business, creating value by optimising the relationship between assets and liabilities in line with the firm’s risk appetite.

The Quant Strategist team specifically works closely with the wider Investment department to address business challenges through a combination of quantitative and actuarial insight. The team works in partnership with the broader ALM Securities & Derivatives function to shape and advance the analytical frameworks, hedging capabilities, and portfolio-optimisation tools that underpin investment decisions and strengthen balance-sheet management.

This particular role will support the enhancement of PIC’s ALM quantitative toolkit, developing systems and datasets that enable efficient modelling and analysis. It will also focus on translating robust data and models into practical, user-friendly analytics, collaborating with the investment team to deliver clearer insights and support faster, more informed decisions, enhancing the overall investment process.

Your specific accountabilities will be:

  • Maintain and enhance the ALM Quant Platform, ensuring existing models, libraries, and analytics remain accurate, robust, and well-documented
  • Design and deliver new model features or analytical capabilities, aligned to business requirements, regulatory needs, or investment initiatives
  • Develop and implement model components to be handed over to Technology for production deployment, ensuring clean code, technical specifications, and appropriate testing artefacts
  • Support BAU production processes, including running ALM analytics, debugging issues, and providing explanations of results to internal stakeholders
  • Analyse and approximate Solvency II balance-sheet impacts under different market or portfolio scenarios, supporting risk management and investment decision-making
  • Collaborate with ALM, Investment, Actuarial and Risk teams to refine modelling assumptions, validate outputs, and ensure consistency across analytical frameworks
  • Contribute to the continuous improvement of modelling standards, including coding practices, version control discipline, and model governance documentation
  • Undertake research to enhance modelling methodologies, introducing innovations or efficiency improvements that strengthen PIC’s ALM capability
  • Develop technical understanding and platform expertise, with the expectation to progress towards subject-matter expertise in key ALM modules

Requirements

Experience:

  • Professional qualifications (e.g., CFA, FIA, CQF, PhD) are advantageous but not essential
  • Experience contributing to model development, calibration, or platform enhancement within an investment, actuarial, ALM, or risk environment
  • Experience providing BAU model support, troubleshooting issues, and helping stakeholders interpret ALM metrics in a fast-paced environment
  • Strong academic record in a quantitative discipline (mathematics, physics, engineering, actuarial science, financial engineering)

Predictive Modeler P&C Commercial Actuarial Consultant – REMOTE

Job Description

Key Responsibilities:

  • Researches and implements financial engineering, data science and statistical techniques for risk management and business applications.
  • Completes regular testing of risk limits to provide distinct management guidance on asset allocation, risk transfer and product growth decisions.
  • Owns complex quantitative modeling processes and philosophies. Identifies industry standards to understand if models are working as intended.
  • Collaborates to ensure that consistent model assumptions, processes and outputs are well understood and that modeling standard methodologies are upheld.
  • Reviews and analyzes model output to identify model limitations and their impact. Provides corrective quantitative methods.
  • Crafts and updates model documentation for business continuity purposes.
  • Collaborates to develop creative solutions to business problems.
  • Acts as the technology owner for Risk Analytics.

May Perform Other Responsibilities As Assigned.

Reporting Relationships: Reports to Risk/Actuarial leader.

Typical Skills And Experiences

Education: Undergraduate studies in finance, accounting, economics, statistics, mathematics or related subject area required. Graduate-level studies in a related field with advanced degree highly desirable.

License/Certification/Designation: Progress toward FCAS, FSA, CQF, CFA or similar preferred.

Actuarial Specialist – Commercial Pricing Modeler REMOTE

Job Description

Key Responsibilities:

  • Assists in the research and implementation of financial engineering, data science and statistical techniques for risk management and business applications.
  • Supports regular testing of risk limits to provide management guidance on asset allocation, risk transfer and product growth decisions.
  • Aids with quantitative modeling processes. Understands industry standards and identifies if models are working as intended.
  • Collaborates to ensure that consistent model assumptions, processes, and outputs are well understood and that modeling standard methodologies are upheld.
  • Reviews and analyzes model output to identify model limitations and impacts.
  • Assists in crafting and updating model documentation for rationale, assumptions and business continuity purposes.
  • Applies expertise to develop creative solutions to business problems.
  • Acts as the technology lead for risk analytics.

May Perform Other Responsibilities As Assigned.

Reporting Relationships: Reports to Risk/Actuarial leader.

Typical Skills And Experiences

Education: Undergraduate studies in finance, accounting, economics, statistics, mathematics or related subject area required. Graduate-level studies in a related field with advanced degree highly desirable.

License/Certification/Designation: Progress toward FCAS, FSA, CQF, CFA or similar preferred.

Consultant, Risk Analytics – Credit Risk

Job Description

Key Responsibilities:

  • Understands and assesses key business needs and responsible for developing the appropriate quantitative modeling solutions to these needs.
  • Collaborates with departments across the organization or business functions to accomplish strategic goals, objectives, and initiatives.
  • Builds risk analytic strategies for business problems through collaborating, consulting, and driving expectations.
  • Collaborates with teams across the enterprise to ensure that consistent model assumptions, processes and outputs are well understood and that modeling standard methodologies are upheld throughout the organization.
  • Crafts clear and concise summaries of findings and recommendations. Uses impactful storylines and data visualization geared to both technical and non-technical audiences.
  • Develops, tests, implements and administers complex quantitative modeling processes and tools.
  • Evaluates and ranks quantitative solutions to business problems.
  • Communicates the key benefits and limitations of sophisticated modeling tools for business applications.
  • Works across teams to ensure governance of modeling tools are applied consistently.

May Perform Other Responsibilities As Assigned.

Reporting Relationships: Reports to Risk/Actuarial leader.

Typical Skills And Experiences

Education: Undergraduate studies in finance, accounting, economics, statistics, mathematics or related subject area required. Graduate-level studies in a related field with advanced degree highly desirable.

License/Certification/Designation: Progress toward FCAS, FSA, CQF, CFA or similar preferred.