Quantitative Engineer

4 weeks ago


Bengaluru, Karnataka, India Goldman Sachs Full time

At Goldman Sachs, we are seeking a highly skilled Quantitative Engineer to join our Wealth Management team. As a member of our team, you will utilize your expertise in mathematics, programming, and logical thinking to build quantitative models that drive success in our business.

Responsibilities

As a Quantitative Engineer, you will work closely with our Risk Managers to develop new analytics, tools, and models to help our Private Bank manage risk and optimize profitability. You will combine quantitative techniques and industry knowledge to build best-in-class models and tools that streamline risk management, detect fraud at scale, enable optimized data-driven business decision making, and optimize profitability.

Key Responsibilities

  • Product pricing: Develop financial return-on-equity models to improve how lenders set rates across our portfolio of products.
  • Funding optimization: Design quantitative models to help understand and realize the value of our non-maturity deposits business for internal funding.
  • Risk Management: Develop quantitative models and tools to manage our Private Bank's risk, such as developing a rate-sensitive prepayment model to improve hedging of our mortgage portfolio.
  • Scenario analysis: Build models to project the impact of various stress scenarios on our balance sheet and protect the bank by informing our firm's capital adequacy under stress.

About Goldman Sachs PWM

Our Wealth Management business provides financial planning, investment management, banking, and comprehensive advice to a wide range of clients, including ultra-high net worth and high net worth individuals, as well as family offices, foundations, and endowments, and corporations and their employees.

Basic Qualifications

  • Bachelor's, Master's, or Ph.D. in a quantitative or engineering field, such as mathematics, physics, quantitative finance, computational finance, computer science, or engineering.
  • 3-5 years of experience in quantitative financial modeling and software development positions.
  • Programming and mathematical skills are required.
  • Creativity, problem-solving skills, and ability to communicate complex ideas to a variety of audiences.
  • A self-starter, should have ability to work independently as well as thrive in a team environment.

Preferred Qualifications

  • Previous work experience in utilizing statistical methods, including time-series and regression analysis; programming in object-oriented languages for efficient model implementations; manipulating data sets using relational databases and SQL.

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