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Role Description

 

Group Strategic Analytics (GSA):

• Analytics and technology are seen as central to all the main units of the bank, including Investment Bank, Corporate Bank and to Risk and Control functions.
• The Strategic Analytics team combines expertise in quantitative analytics, modelling, pricing and risk management with deep understanding of system architecture and programming.
• The primary output is a scalable and flexible Front Office pricing and risk management system with consistent interface to both the Middle Office and Back Office.
• The consistency in analytics and the technology platform ensures that no arbitrage can exist between various parts of the Bank as well as rational allocation of constrained resources, including risk budget, balance sheet, funding, and capital.

 

What we’ll offer you

As part of our flexible scheme, here are just some of the benefits that you’ll enjoy

• Best in class leave policy
• Gender neutral parental leaves
• 100% reimbursement under childcare assistance benefit (gender neutral)
• Sponsorship for Industry relevant certifications and education
• Employee Assistance Program for you and your family members
• Comprehensive Hospitalization Insurance for you and your dependents
• Accident and Term life Insurance
• Complementary Health screening for 35 yrs. and above

 

Your key responsibilities

 

Market Risk Strats

• The candidate is required to work in collaboration with global teams on various quantitative and regulatory driven projects.
• The candidate is required to understand the business problem, gather information required for the implementation and provide an end-to-end optimized solution on a scalable platform.
• Implementation of the project needs to be done in Python and C++ programming language.
• The candidate should possess very good English communication skill to coordinate and communicate their work effectively with various stakeholders spread across globe.

 

Role:

• Development of complex processes and frameworks as well as risk analysis and improvements
• Implement, enhance and maintain existing framework to measure market risks across the bank
• Understand and decipher business problem to convert into manageable smaller problem statements
• Coordinate and gather information from various stakeholders for deeper understanding of the business
• Design an automated solution which is optimized and scalable
• Develop applications/libraries for the implementation of the solution
• Remediation of regulatory as well as external and internal findings against the MR HS models in line with the assigned tasks
• Constant awareness and understanding of the key market risks taken by the business areas and communication to senior management and stakeholders
• Quality assurance (e.g. 4 eyes principal reviews)

 

Your skills and experience

 

Education/Qualifications:

• Strong educational background in Engineering/Science, Economics, Statistics or other numerate discipline preferably from good colleges in India e.g. IIT, NIT etc.
• Good knowledge of financial instruments and markets across all asset classes
• Knowledge of financial pricing models, risk models would be desirable
• Experience with applied econometrics (Hypothesis testing, PCA, Linear/Non-Linear Regression etc.) will be a plus
• Certification courses like CFA/FRM/CQF will have an edge

 

Competencies:

• Programming skills – at least 5 years of experience in Python/C++ programming with good knowledge of OOPs programming concepts
• Independent handling and mitigating methodological or process weaknesses identified by regulators, auditors and internal model validation teams
• Strong communication skills and presentation ability with attention to detail
• Good problem-solving instincts and strong analytical skills

 

Personal characteristics:

• Ability to work independently as well as flexibly within intra or inter-departmental groups
• Continuous advancement of own skills and knowledge
• Can-do attitude & able to cope well under pressure and tight deadlines

 

How we’ll support you

• Training and development to help you excel in your career
• Coaching and support from experts in your team
• A culture of continuous learning to aid progression
• A range of flexible benefits that you can tailor to suit your needs

A career in our Model Risk and Validation practice, within Risk Data and Analytics services, will provide you with the opportunity to help our clients develop a strategic and sustainable approach to harness the value of their data and drive business results. We work with organisations across industries to develop customised, cost effective technology solutions that focus on delivering the relevant, actionable intelligence that executives need to understand operations and manage critical risks. As part of the team, you’ll help organisations manage the deployment and maintenance of complex models used for risk management and valuation.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

 

As a Senior Manager, you’ll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

 

Market and Counterparty Risk Analytics Professional Job Specification: Candidate would be responsible for developing, validating, auditing market risk valuations/models and counterpart credit risk models for trading, investment and corporate portfolios of global financial institutions. Candidates would be expected to support financial institutions on meeting jurisdictional regulatory requirements and their broader risk management initiatives.

Multiple positions required;

Experience level 10-15 years years of experience;
Location: Bangalore

Core Skill Requirements

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

• Independently built and managed quantitative market and counterparty risk analytical models
• Strong experience/knowledge in at least some of the following areas (in quant space)
• Counterparty Credit Risk (PFE, CVA, XVA)
• Pricing and valuation – Derivatives (across one or more asset classes)
• Modeling of Risk Metrics (e.g, EPE, PFE, RWA, Greeks)
• Market Risk Scenarios and Stress Testing
• Development, prototyping and back-testing of Monte Carlo Credit Exposure Models o Incremental default risk, specific risk charge and stressed VaR o Worked on multiple Market Risk Models like to develop/review calculation of VaR(Historical, Parametric and Monte Carlo), RNiV, CCAR, IRC Model Validation/ development and present value for various type of instruments using any statistical tool
• Strong experience/knowledge in at least some of the following areas (business knowledge)
• Good knowledge of market risk concepts: Risk Factor, VAR, Earning at Risk, cash flow at risk, ETL, PV01, Independent Validation, Exotic derivatives, FX, Interest rate derivatives, volatility, commodities, credit derivatives, Fixed income, Hull & White, Monte Carlo simulation, Capital calculations
• Knowledge and experience with counterparty risk concepts (PFE,SA-CCR, EPE etc
• Leveraging experiential know-how of a wide range of financial products like Equity, Derivative, Swaps, IR, Credit derivatives, OTC products, Swaps, Securitization, CDO’s etc.
• Knowledge of one or more of global regulatory Topics BASEL II/III, IFRS 9, CCAR/DFAST, CECL, FRTB, SR-11/7 around data sufficiency, modeling methods, industry standards etc.
• Assisted clients to design and implement strategic and functional changes across risk management, treasury, front office, middle office, and back office activities with a focus on risk and valuation processes, regulatory compliance, analytics, strategy, and organizational structure.
• Programming and Algorithms: R, Python, SAS, Matlab, Scala, VBA etc.
• Experience with with Murex, QRM, Reuters, FINCAD, Bloomberg and Algo is a plus

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

Additional Requirement for Senior Positions:

Candidates aspirant of senior positions at PwC Risk CoE are expected to possess:

• Proven consulting skills to structure vague problems at hand and conceptualizing solutions
• Credentials in leading and driving large and or complex risk analytics engagements and initiatives independently
• Experience in supporting sales pursuits for risk analytics offerings and solutions
• Ability to manage multiple engagements simultaneously along with leading people and initiatives
• Strong conceptual understanding of various functional/technical skills
• Ability to drive innovation and thought leadership in the risk management domain
• Intellectual property, patents and exclusive rights on any innovative solution is a plus

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.

Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.

 

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

 

• Apply a learning mindset and take ownership for your own development.
• Appreciate diverse perspectives, needs, and feelings of others.
• Adopt habits to sustain high performance and develop your potential.
• Actively listen, ask questions to check understanding, and clearly express ideas.
• Seek, reflect, act on, and give feedback.
• Gather information from a range of sources to analyse facts and discern patterns.
• Commit to understanding how the business works and building commercial awareness.
• Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm’s code of conduct and independence requirements.

AI/ML & Credit Risk Analytics Professional – Job Specification:
Candidate would be responsible for developing, validating, auditing, and maintaining AI/ML-powered credit risk models. Candidates would be expected to support financial institutions in meeting jurisdictional regulatory requirements and their broader risk management initiatives.
Multiple positions required;
Experience level: 2–6 years of relevant experience
Location: Bangalore

 

Role Overview
We are looking for high-caliber professionals with strong foundations in credit risk modeling and hands-on experience in AI/ML techniques. The ideal candidate will contribute to the development and validation of regulatory and strategic risk models, while also applying machine learning and generative AI techniques to enhance model accuracy, efficiency, and interpretability.

 

Key Responsibilities

• Develop, validate, and document credit risk models (PD, LGD, EAD) for retail and wholesale portfolios across regulatory (CECL, IFRS 9, Basel) and business-use contexts.
• Apply AI/ML algorithms (e.g., LightGBM, XGBoost, Random Forest, Neural Networks) to improve prediction power and model performance beyond traditional approaches.
• Implement Generative AI and LLM-based applications using RAG pipelines, document intelligence, and model documentation automation. Experience with agentic frameworks like Autogen, LangChain, or similar would be helpful.
• Experience of development and deployment of models in cloud-based platforms such as Azure, AWS, GCP etc.
• Design explainable AI solutions by incorporating techniques like SHAP, LIME, and feature attribution methods to enhance transparency in high-stakes modeling environments.
• Partner with cross-functional teams, including business stakeholders, technology teams, and model governance, to ensure model alignment with business objectives and regulatory expectations.
• Contribute to innovation initiatives and support proposal development, thought leadership, and solution architecture in the AI/ML space.

 

Required Skills & Experience

 

• 2–6 years of total experience, with minimum 2 years in AI/ML or GenAI model development or validation.
• Strong understanding of credit risk modeling frameworks, scorecard development, and risk metrics (e.g., RWA, Expected Loss, Economic Capital).
• Proficient in Python and SQL, with hands-on experience using ML libraries such as scikit-learn, Tensorflow, Pytorch and transformer-based LLM packages
• Familiarity with regulatory standards such as CECL, IFRS 9, CCAR/DFAST, Basel II/III, SR 11-7, and model governance best practices.
• Exposure to cloud environments (Azure preferred), version control (Git), and workflow automation tools.
• Experience with credit bureau data, vendor models (e.g., FICO, Moody’s, S&P), and financial benchmarking is a plus.
• Ability to clearly communicate complex technical content to non-technical stakeholders through reports, dashboards, and presentations.

 

Education & Certifications

• Master’s degree or higher in Statistics, Mathematics, Economics, Data Science, Engineering, or Finance.
• Professional certifications such as FRM, CFA, CQF, or in product management equivalent are preferred.
• Contributions to opensource AI / ML projects and competitions is preferred

Job Description & Summary:

• Bachelor’s or Master’s degree in finance, economics, mathematics, or a related field
• 6+ years of relevant experience in credit risk management, with knowledge of PD/LGD/EAD, CCAR loss estimation & PPNR, PRA stress testing, Scenario analysis, IRB, IFRS 9, CCEL, credit rating models, and other credit risk models
• Advanced statistical and quantitative modelling skills: Linear regression, logistic regression, ARIMA modelling, Markov Chain, Merton Model, and other data mining/predictive modelling skills
• Strong programming skills in Python, R, SAS, Excel VBA, and other programming languages
• Good soft skills, including effective communication, team collaboration, and client engagement
• Strong project management skills
• FRM, CFA, CQF would be a plus

Responsibilities:

• Expert in the Model development primarily for PD/LGD/EAD, CCAR loss estimation & PPNR, PRA stress testing, Scenario analysis, IRB, IFRS 9, CCEL, credit rating models, and other credit risk models for retail, commercial or wholesale domain as per regulatory guidelines such as Capital Requirement Regulation (CRR) / Capital Regulation Directive (CRD) IV/ IFRS9 and BASEL
• Expert in the Model validation process involves understanding of model validation/ Risk Management guidelines such as SR 11/7 and SS 3/18, model development document, testing, and benchmarking and report writing
• Sound knowledge of current market trends and the regulatory agenda related to credit risk models particularly from a UK/US/European context
• Ability to independently review model documentations, undertake appropriate qualitative & quantitative analysis and author high quality analytical documentation
• Assist clients in developing and implementing credit risk models, providing advice and guidance as needed
• Prepare and deliver presentations to clients on credit risk topics
• Manage projects and ensure deliverables are completed on time and within budget
• Good written and verbal communication and presentation skills and ability to build report with the stakeholders to suggest the solution and communicate the impacts

TAS is seeking talented professionals to join our fast-growing Digital Value Creation group (DVC) at the Associate level. DVC provides our clients value-creating insights from vast market, operational, and financial data. DVC professionals work closely with HL due diligence, valuation and investment banking teams alongside clients’ deal and operating teams. As a professional in the group, you will be teamed with highly talented and dedicated M&A professionals in various industry groups including Industrials, Consumer, Technology, Business Services and Financial Services. This opportunity provides you broad exposure to different transactional issues affecting businesses in an M&A environment.

This is a unique opportunity for someone with proficiency in data analytics along with experience in applying data analytics techniques to financial and operational analyses that is fundamental to an M&A process. DVC provides you ample exposure to the M&A and corporate finance industry and capital markets. You will further develop and extend your data analytics knowledge, and hone your interpersonal skills as you deliver valuable insights that derive transaction and strategic decision making for internal and external stakeholders.

Responsibilities
• Participate in buy-side and sell-side M&A engagements and data-focused operational reporting engagements
• Lead engagement tasks or workstreams within an engagement, taking ownership of the execution, and quality and timeliness of deliverable to clients
• Communicate effectively with internal project teams as well as client teams, showing ability to put forth points of view and drive discussions towards required objectives
• Gather, evaluate, sanitize, and organize applicable meta data
• Prepare data workflows to clean and combine data from multiple sources
• Prepare data visualizations and dashboards to deliver key insights
• Generate insights on the drivers of business growth, profitability, and liquidity
• Identify the key business risks and opportunities impacting business valuation
• Be willing to learn and train peers in the advisory practice on data analysis and visualization tools
• Continuously develop industry knowledge and qualifications
• Be able to work on multiple assignments simultaneously
• Support and actively participate in business development efforts
• Review the work of team members to ensure desired quality and insights

Basic (must-have) Qualifications
• Bachelor’s degree in technology / computer science / accounting / finance or quantitative finance, or similar (with concentration in data analytics or another quantitative field)
• Experience in financial analytics based on sound understanding of financial statements like Profit & Loss and Balance sheet and ability to analyze financial and operating performance of a company
• Hands-on experience in working on one of the data wrangling / ETL tool i.e. Alteryx, Dataiku etc.
• Experience in, and sound knowledge of data visualization tools, either Tableau or Power BI
• Strong command of Microsoft Excel formulas, PowerPivot, Power Query, etc.
• Experience working in a global organization across different time zones, managing both internal and external stakeholders
• Exceptional work ethic, high motivation, and a demonstrated ability and desire to work cooperatively with team members and client professionals
• Strong analytical abilities
• Conduct technical training and best practice sessions for team members
• Exceptional verbal and written communication skills

Preferred (good-to-have) Qualifications
• Post graduate degree or diploma, or certification in any of the above fields of study or business administration (for instance MBA, CFA, CQF etc.)
• Experience in M&A and financial consulting areas such as Financial due diligence, Valuation, Financial Planning & Analysis will be a strong advantage
• Strong command of at least one programming language Python, R, VBA
• Prior work experience in relational database management systems (including experience in SQL Server, Snowflake, or similar)
Work experience
• 3 (three) to 7 (seven) years of professional experience

What’s in it for you: An exciting new opportunity to join a leading index provider, build your skill set, and grow with the team. As an Index Manager, you will be responsible for a group of indices, across global markets, that adopt complex index strategies to achieve their objective. The Index Manager must be able to analyze and implement complex index methodology and solve non-routine problems on an on-going basis.

Responsibilities

• Work on a large amount of complex index models, code, ensuring timely and accurate delivery of real-time and end-of-day index data to clients and end users.
• Ensure that corporate actions of constituents in each assigned index are correctly applied in the SPDJI proprietary system in accordance with index rules.
• Interpreting complex index methodology and adjusting the data in our calculation system to conform to the rules of the index.
• Perform index rebalances by interpreting index methodology, running models and research for adds/drops, implementing changes, and communicating these appropriately to clients, all with a focus on quality and accuracy.
• Assist in implementing the index into the proprietary platform and coding for ad-hoc projects, demonstrating adaptability to new technologies and platforms.
• Manage and nurture key relationships with teams within the department and across various departments, particularly Product Management, Client Coverage, Index Engineering, and IT Support.
• Must be able to manage multiple projects within the deadlines and handle requirements gathering, analytical thinking, compilation of data, and documentation.
• Participate in index committees and present original, non-routine analyses to support the indices under your management.

Qualifications

• Bachelor’s degree in a related field such as Mathematics, Statistics, Quantitative Finance or a related field, advanced degree strongly preferred.
• Candidates pursuing financial certification like CFA, FRM, CQF are preferred.
• 3+ years of experience in quantitative modeling, financial research, index management and production or data analysis. Must be able to demonstrate strong analytical and quantitative capabilities to solve problems in a timely and insightful manner.
• Comfortable to work with large datasets and code in various programming languages such as Python, or SQL
• Quickly grasp index knowledge and learn S&P DJI’s proprietary systems.
• A solid understanding of global financial markets across different asset classes and an awareness of market events
• Must be able to work independently on multiple projects with minimal direction or supervision.
• Knowledge of data vendors (Bloomberg, Refinitiv) and analytical platforms
• Excellent communication skills with ability to explain complex or unfamiliar concepts in simple terms.