Market Risk Associate with Quant Models

Symphoni Hr; Mumbai Suburban; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Symphoni Hr is seeking candidates with a basic understanding of stochastic calculus and derivative pricing methods. The role emphasizes Python proficiency and familiarity with econometrics or statistics.

Ideal applicants will have exposure to risk models, stress testing, and pricing models for interest rates or equities, with a focus on practical numerical techniques.

Qualifications

• Basic understanding of stochastic calculus and numerical techniques for derivatives pricing.
• Comfort with Python programming language and basic data handling.
• Familiarity with econometrics or general statistics is desirable.
• General knowledge of financial products and markets.

Responsibilities

• Understand stochastic calculus concepts relevant to derivatives pricing.
• Apply numerical methods like Monte Carlo and Finite Difference for pricing models.
• Utilize Python for modeling and data analysis.
• Explore areas such as risk models, stress testing, and interest rate or equity pricing models.

Skills

Python

Stochastic calculus

Monte Carlo

Finite Difference

Econometrics

Statistics

Job description

Role & responsibilities

Experience & Skills:

Basic understanding of stochastic calculus, numerical techniques for derivatives pricing (Monte Carlo / Finite Difference) and comfort level with Python programming languages is expected.

Familiarity with econometrics or general statistics is desirable

General financial products knowledge

In particular, we are looking for candidates with prior knowledge / experience in one or more of the following areas:

• Risk Models: Value at Risk, Counterparty Risk Exposure models, Margin Models
• Stress Testing models
• Interest Rate: Libor Market Model, HJM, Models of the short-rate
• Equity: Pricing of Exotic Payoffs (e.g. Barriers, Lookback, Asians etc.), Stochastic Volatility Models for pricing Equity Derivatives (Heston, Bates etc.)