Risk Consulting Manager

Jobtailor

Dadri

On-site

INR 1,500,000 - 3,500,000

Full time

14 days+

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Job summary

Jobtailor in India seeks a quantitative finance professional to design and validate pricing models for derivatives across asset classes, while monitoring risk and ensuring regulatory compliance. You will work closely with clients and senior teams to translate complex concepts into practical solutions.

The role emphasizes mentoring junior consultants, contributing to performance reviews, and participating in talent recruitment, with strong coding skills in Python/Java/C++.

Qualifications

  • Strong knowledge of pricing derivatives and risk management across asset classes.
  • Experience with model development/validation/monitoring/audit procedures.
  • Proficient coding in Python/Java/C++ and basic SQL.

Responsibilities

  • Demonstrate deep technical capabilities and understand market trends in financial services.
  • Monitor progress, manage risk, and communicate with stakeholders regarding status and priorities.
  • Mentor junior consultants within the organization.

Skills

Python/Java/C++
Statistical methods
Stochastic calculus
Strong communication
Willingness to travel

Education

MS/PhD in Quantitative topics

Tools

SQL
Calypso
Murex
Bloomberg

Job description

Responsibilities
  • Demonstrate deep technical capabilities and understand 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.
  • Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes.
  • Play an active role in mentoring junior consultants within the organization.
  • Conduct performance reviews and contribute to performance feedback for Senior Consultants and Staffs.
  • Contribute to people initiatives including recruiting talent.
  • Stakeholder and client management.
  • Play your part in developing intellectual capital to support delivering superior outcomes for client and firm.
Requirements
  • Undergraduate (4-year degree) or Masters (Computational Finance, Mathematics, Engineering, Statistics, or Physics preferred) or Ph.D. in quantitative topics.
  • Working knowledge or academic experience of statistical and numerical techniques (e.g., Monte-Carlo methods, Finite difference methods).
  • Knowledge of mathematical concepts and domain knowledge related to pricing derivatives for any of the asset classes such as fixed income, equities, credit, interest rates, FX, and commodities.
  • Strong risk management/model development/validation knowledge in market risk (VaR, Stressed VaR, Expected Shortfall, etc.) and/or counterparty credit risk (CVA, PFE, etc.).
  • Good hands-on experience in model development/validation/monitoring/audit procedures (including Stress testing, Back-testing, Benchmarking, etc.).
  • Knowledge of mathematical concepts like Stochastic Calculus, Differential and Integral calculus (ODE/PDE/SDE), Numerical Methods, Linear algebra, Measure Theory.
  • Related to pricing derivatives for any of the asset classes such as fixed income, equities, credit, interest rates, FX, and commodities.
  • Development/Validation/Annual Review of 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 Estimating Idiosyncratic volatility (specific risk) and estimating Beta, Handling missing data in time series, Validating proxy time series.
  • Strong coding skills in Advanced Python or Java, C++ with combination of Statistical packages in R.
  • Basic knowledge of SQL is expected.
  • Excellent communication and strong problem-solving skills.
  • Good-to-have: Certifications such as FRM, CQF, CFA, PRM.
  • Regulatory knowledge/experience in areas such as Basel, CCAR, and FRTB.
  • Pricing/Risk management system knowledge/experience – Calypso, SunGard Adaptiv, Murex, Numerix, Bloomberg, RiskMetrics, Spectrum, EQF, etc.
  • Willingness to travel to meet client needs.
Core Competencies

Demonstrates expertise in quantitative finance, including model development and validation for pricing derivatives across various asset classes. Strong communication and stakeholder management skills are essential for mentoring and managing client relationships effectively.

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