Risk - GS Risk Strats - Strategist/ Financial Product Engineer - Analyst - Bengaluru

Location(s) IN-Bengaluru
Job ID
Schedule Type
Full Time
Senior Analyst
Quantitative Engineer
Business Unit
Risk Engineering
Employment Type


Strategist/Financial Product Engineer

External: Strategist/Financial Product Engineer

Strategists create cutting-edge models, pricers, analytics, data visualization and trading tools, for our external and internal clients. They are expected to develop an in-depth understanding of the financial products, markets, risk management and pricing of a wide range of products, models and asset classes offered by the firm. This presents a highly visible platform to use your skills and knowledge to make a direct impact to the firm’s bottom line.


Responsibilities (varies by role)

  • Design and implement models to risk manage complex financial products
  • Build low latency, highly-scalable software and systems for pricing, risk models, quoting and analytics
  • Work on large datasets to extract useful insights on firm’s risks
  • Partner with the trading desk to develop and implement quantitative, technological solutions as global market and economic conditions change
  • Collaborate efficiently within a diverse global team spanning multiple continents
  • Increase client market share via innovative tools and data analytics
  • Work in a fast-paced, high-pressure environment as a self-starter
  • Client focus: think of APIs as a service and provide internal and external users with outstanding SLAs


Basic Qualifications

  • Bachelor's Degree in a relevant field: Mathematics, Finance, Computer Science, Physics, Engineering
  • Knowledge about popular design patterns and algorithms
  • Excellent programming skills in a major programming language
  • Efficient and effective communication skills
  • Strong quantitative and analytical skills
  • In-depth knowledge of analytics, trading environment and risk management of at least one financial asset class
  • Competence in statistics and linear algebra


Preferred Qualifications

  • Competence in data science, stochastic processes, and advanced mathematics
  • Experience working with large data sets and real-time systems
  • Knowledge of more than one financial asset class



At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

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