Engineering - Quantitative Engineering - VP - Bengaluru/Hyderabad

Posted 4 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Fintech • Financial Services
The Role
Lead development of quantitative models for independent price verification, revenue analysis, and regulatory capital. Maintain, test, document, and quality-control models. Collaborate with business and engineering partners, apply mathematical and numerical methods, mentor junior staff, and implement scalable, production-ready solutions using object-oriented programming and data science techniques.
Summary Generated by Built In

At Goldman Sachs, our Engineers don’t just make things – we make things possible.  Change the world by connecting people and capital with ideas.  Solve the most challenging and pressing engineering problems for our clients.  Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.  Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

We conduct our business in increasingly complex markets. Our people must continually find new ways to provide access to capital, manage risk and provide investment opportunities for our clients to enable them to realize their goals. We judge ourselves on our ability to help clients anticipate and respond to changing market conditions and to create opportunities that merit the trust they place in us.

Why join the team? 

  • Broad exposure to pricing and calibration models for a variety of financial products, including derivatives, illiquid cash products, private equity, etc.   
  • Exposure to challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation risk measurements.
  • Exposure to machine learning and data science skills, and applications in finance.
  • Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources.
  • Interpersonal Communication: You’ll engage with business users and engineers across all areas of the business to understand their requirements and to propose solutions tailored to their needs.
  • Autonomy: You’ll have significant autonomy in designing and writing solutions to help our stakeholders deliver for the firm’s clients.
  • Creativity: You’ll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders.
  • Training: Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. 

RESPONSIBILITIES AND QUALIFICATIONS RESPONSIBILITIES 

  • Develop quantitative models in 3 areas
    • Independent price verification models that govern key business strategies and decisions related to valuation of products including complex derivatives and hard to value private investments
    • Revenue analysis and modelling that governs new activity review, valuation adjustments and signoff of daily P&L for all of market making desks
    • Regulatory Capital models for key externally reported capital metrics that play a key role in determining forward-looking business strategies and decisions in an evolving regulatory landscape
  • Provide ongoing testing and support for existing models
  • Documentation and quality control of models.
  • Work in a dynamic, fast-paced environment that provides exposure to all areas of Finance
  • Build strong relationships with business partners
  • Identify opportunities for cross-divisional collaboration and reuse of common solutions
  • Provide technical and functional guidance and leadership to junior members on a need basis

 SKILLS AND EXPERIENCE WE ARE LOOKING FOR

  • PhD or Master’s candidate in a quantitative field such as mathematics, physics, statistics or engineering
  • Experience in financial modeling
  • Excellent command of mathematics, modeling and numerical algorithms. Exposure to machine learning and data science skills, and applications in finance is a plus.
  • Strong programming skills and experience with an object oriented programming language (such as C++, Python, or Java).
  • Excellent communication skills including experience speaking to technical and business audiences and working globally
  • Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team

ABOUT GOLDMAN SACHS

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. 

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

Please note that our firm has adopted a COVID-19 vaccination requirement for employees who work onsite at any of our U.S. locations to safeguard the health and well-being of all our employees and others who enter our U.S. offices. This role requires the employee to be able to work on-site. As a condition of employment, employees working on-site at any of our U.S. locations are required to be fully vaccinated for COVID-19, and to have either had COVID-19 or received a booster dose if eligible under Centers for Disease Prevention and Control (CDC) guidance, unless prohibited by applicable federal, state, or local law.

Applicants who wish to request for a medical or religious accommodation, or any other accommodation required under applicable law, can do so later in the process. Please note that accommodations are not guaranteed and are decided on a case by case basis.

© The Goldman Sachs Group, Inc., 2025. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.

Skills Required

  • PhD or Master's in mathematics, physics, statistics, or engineering
  • Experience in financial modeling
  • Excellent command of mathematics, modeling and numerical algorithms
  • Exposure to machine learning and data science applications in finance
  • Strong programming skills in an object-oriented language (C++, Python, or Java)
  • Excellent communication skills with technical and business audiences and global collaboration experience
  • Ability to multitask, manage multiple stakeholders, and work as part of a team

Goldman Sachs Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Goldman Sachs and has not been reviewed or approved by Goldman Sachs.

  • Healthcare Strength Coverage includes medical, dental, vision, disability, life and accident insurance, with multiple plan options and most premiums subsidized; coverage often starts on day one. Wellness resources, on-site health centers in some locations, and EAP access reinforce the depth of health support.
  • Parental & Family Support Family care includes on-site childcare in some offices, expectant parent resources, and transitional programs for returning parents. Feedback suggests parental leave is very generous, with reports of around 20 weeks paid leave and stipends for adoption, surrogacy, and fertility-related services.
  • Retirement Support The firm provides a 401(k) plan with employer matching contributions and broad financial education to help employees plan for retirement. Resources also support saving for education and preparing for unexpected events.

Goldman Sachs Insights

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The Company
HQ: New York, NY
67,118 Employees

What We Do

At Goldman Sachs, we believe progress is everyone’s business. That’s why we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, Goldman Sachs is a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices in all major financial centers around the world. More about our company can be found at www.goldmansachs.com

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