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AM Public-Bengaluru-Vice President-Quantitative Engineering

Goldman Sachs · Posted Oct 30

Investment banking, securities, asset management, and wealth management services

Bengaluru, Karnataka, IndiaFull-timeOnsiteSenior Level8+ years₹70.0L–₹1.2Cr yearly<25 applicants
Investment BankingFinancial ServicesAsset ManagementWealth ManagementCapital MarketsPublic Company
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About the role

Quantitative Strategists at Goldman Sachs work closely with bankers, traders, and portfolio managers on complex financial and technical challenges, building analytics, pricing and risk models, and portfolio management platforms. The role involves quantitative strategy development, modeling, portfolio construction and optimization, and production system development. This Vice President position partners globally across divisions to deliver quantitative modeling-based solutions for revenue-generating businesses.

What you will do

  • Working with revenue-generating businesses to solve a broad range of problems, including quantitative strategy development, quantitative modelling, portfolio construction, portfolio optimization, infrastructure development and implementation, financial product and markets analytics
  • Develop quantitative analytics and signals using advanced statistical, quantitative, or econometric techniques to improve portfolio construction process and implement fund management models to track longer term portfolio performance
  • Develop sustainable production systems, which can evolve and adapt to changes in our fast-paced, global business environment
  • Provide quantitative analytics to optimize investment structure, pricing, returns and capital sourcing
  • Partner globally across multiple divisions and engineering teams to create quantitative modeling-based solutions
  • Prioritize competing problems and communicate with key stakeholders

Skills used in this role

What the employer is looking for

  • Bachelor's / Master's degree in a quantitative discipline with quantitative analytics/research and financial modeling experience
  • Strong understanding of mathematical concepts including probability and statistics, time series analysis, regression analysis, forecasting, optimization, machine learning, and other numerical techniques
  • Strong fundamentals in design and analysis of algorithms and data structures
  • Ability to implement coding solutions to quantitative problems, experience in developing finance and statistics-based applications, and proficiency in at least one programming language such as Slang, Python, C, or C plus plus
  • Strong written and oral communication skills and ability to work independently and in a team environment
  • Ability to multi-task and prioritize work effectively
  • Passion and self-motivation to deliver technology solutions in a dynamic business environment

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Goldman Sachs

The Goldman Sachs Group, Inc. is a leading global financial institution that delivers a broad range of financial services across investment banking, securities, investment management, and consumer banking to a diverse client base. Established in 1869 and headquartered in New York City, the firm serves corporations, financial institutions, governments, and high-net-worth individuals worldwide.

Industry
Investment Banking
Company size
47400+ employees
Founded
1869
Location
New York, New York, USA
Funding stage
Public Company
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