Asset & Wealth Management - AM Private ACF Strats - Associate - Bengaluru at Goldman Sachs

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

23 Jun, 26

Salary

0.0

Posted On

25 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quantitative Strategy Development, Quantitative Modelling, Portfolio Construction, Portfolio Optimization, Infrastructure Development, Financial Product Analytics, Markets Analytics, Statistical Techniques, Econometric Techniques, Machine Learning, Slang, Python, C++, Algorithm Design, Data Structures, Communication

Industry

Financial Services

Description

What We Do 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. Engineering, which is comprised of core and business-aligned teams, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here. Asset Management Goldman Sachs Asset Management delivers innovative investment solutions through a global, multi-product platform that offers clients the advantages that come with working with a large firm, while maintaining the benefits of a boutique. We are a top 10 global asset manager with a leadership position across asset classes and key market segments. Our success is driven by a global team of talented professionals who collaborate to deliver innovative client solutions. Quantitative Strategists Quantitative strategists work in close collaboration with bankers, traders, and portfolio managers on complex financial and technical challenges. We work on alpha generating strategies; discuss portfolio allocation problems; and build models for prediction, pricing, trading automation, data analysis and more. The strats platform is designed for people to express themselves by providing creative solutions to business problems. Strats own analytics, models for pricing, return and risk, as well as portfolio management platform. Responsibilities * As a quantitative strategist your responsibilities will include * 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 across competing problems, communicate with key stakeholders Basic Qualifications * Bachelor's / master's degree in a quantitative discipline with quantitative analytics/ research, financial modeling experience * Strong understanding of mathematical concepts including probability and statistics, time series analysis, regression analysis, forecasting, optimization, machine learning, regression analysis, and other numerical techniques * Strong fundamentals in design and analysis of algorithms, 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, C++ * Strong written, oral communication skills and ability to work 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 goldmansachs.com/careers Goldman Sachs Engineering Culture 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 © The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

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Responsibilities

The quantitative strategist will work with revenue-generating businesses to solve problems involving quantitative strategy development, modeling, portfolio optimization, and infrastructure implementation. Responsibilities also include developing quantitative analytics and signals using advanced techniques to improve portfolio construction and implementing fund management models.