Lead - Risk Analytics - FinTech

Risk Analytics - Mumbai

Job Summary - Lead Risk Analytics Practice for a global consulting organization

1. 3+ years of relevant Risk Analytics experience at one or more Financial Services firms, Rating Agency or Professional Services / Risk Advisory with significant exposure to one or more of the following areas:

- Risk Ratings and Credit Risk Methodology, Economic and Regulatory Capital, Stress Testing, Liquidity, Risk, Counterparty Risk, Market Risk, Model Validation / Audit / Governance, PPNR / Revenue / Loss, forecasting, and Provisioning, Pricing, Underwriting, Collections and Recovery, Fraud Risk, Credit Policy and Limit Management, Actuarial, Insurance Risk Evaluation and Underwriting

2. Banking: Advanced skills in quantification and validation of risk model parameters (E.g.: PD, LGD, EAD).

3. Capital Markets: Strong understanding of financial instruments/ products across equity, fixed income, derivatives and/or securitization space. Conceptual understanding or direct exposure to one or more of the following types of models: interest rate pricing models, equity and FX option pricing models, commodities, single and multifactor derivative pricing models, stochastic volatility models, etc.

4. Risk Regulation: In-depth understanding of new/ evolving regulations in the Risk management space. Strong understanding of risk regulatory framework of one more of the major economies across globe (i.e. US, UK, EU, etc.). Knowledge of CCAR, IFRS9/CECL, FRTB, Basel II/ III, Solvency etc.

5. Risk Modeling: Experience in one or more of analytical tools such as SAS, R, SQL, Python, Prophet, Excel/ VBA, Matlab, C++, etc. Knowledge of tools/ vendor products such as Moody's Risk Calc/ Risk Frontier / Credit Edge, Bloomberg, Reuters, Murex, QRM, etc.

Key Responsibilities:

Engagement Execution

- Lead client engagements that may involve model development, validation, governance, risk strategy, transformation, implementation and end-to-end delivery of risk management solutions for clients.

- Advise clients on a wide range of Credit, Market and Operational Risk Management/Analytics initiatives. Projects may involve Risk Management advisory work for CROs, CFOs, etc. to achieve a variety of business, operational and regulatory outcomes.

- Develop and frame a Proof of Concept for key clients, where applicable

Practice Enablement

- Mentor, groom and counsel analysts and consultants.

- Support development of the Risk Analytics Practice by driving initiatives.

- Develop thought capital and disseminate information around current and emerging trends in Financial Risk Management and Client development

Travel: Willingness to travel up to 50% of the time

Professional Development Skills: Project Dependent

Must Have Skills:

- Candidates with BANKING & CAPITAL MARKET background should have proven skills in one or more of the following -

- Credit Risk models development and validation / audit for Risk Rating models, PD, LGD, EAD, IFRS9 / CECL models, CCAR models (PPNR / revenue / loss forecasting)

- Market Risk and Counterparty Credit Risk Model development and validation / audit

- Economic and Regulatory Capital modeling and RWA calculation

- Risk Strategy expertise in acquisition, underwriting, account management, pricing, collections etc.

- Niche Skills in Fraud risk modeling and strategy, Liquidity risk estimation, regulatory exposure to IFRS9 / CECL, FRTB and Basel III

Candidates with INSURANCE background should have proven skills in the following -

- Experience in Actuarial, Insurance Risk Evaluation and Underwriting, Prophet Modeling

- Exposure to Insurance regulations Solvency and stress testing regulations

1. Strong academic credentials and publications, if applicable. Industry certifications such as FRM, PRM, CFA and good performance in competitive exam (CAT, GRE, CET, GMAT etc.) preferred

2. Excellent communication and interpersonal skills

3. Transferable work permit for countries like US, UK, etc. preferred.

4. Exposure to working in globally distributed workforce environment including offshore model

5. Strong project management skills and demonstrated experience in managing teams across functions and geographies

6. Willingness to travel up to 50% of the time