Goldman Sachs

Quantitative Engineer

Bengaluru, Karnataka
Python SQL
Description

PhD Hiring - Hyderabad/Bengaluru - Associate - Quantitative Engineer

Location: Bengaluru, Karnataka, India

ABOUT OUR ROLES IN ASSET & WEALTH MANAGEMENT

Goldman Sachs Asset and Wealth Management (AWM) provides asset management, wealth management and banking expertise to consumers and institutions around the world. AWM partners with various teams across the firm to help individuals and institutions navigate changing markets and take control of their financial lives.

ABOUT FIXED INCOME AND LIQUIDITY SOLUTIONS

Fixed Income and Liquidity Solutions is an investment team with a global suite of products that delivers fixed income and money market portfolio solutions and manages assets for a broad range of clients such as pension funds, endowments, foundations, financial institutions, insurers and high net worth individuals. We focus on investing and advising clients across all sectors of the fixed income market, ranging from traditional investment grade products to more opportunistic/distressed investing.

YOUR IMPACT

Within Goldman Sachs Asset Management, quantitative engineering strategists are at the cutting edge of our business, solving real-world problems through a variety of analytical methods. Working in close collaboration with portfolio managers across asset classes, their invaluable quantitative perspectives on complex financial and technical challenges power our business and investment decisions.

As a member of our team, you will use your advanced training in mathematics, programming and logical thinking to construct quantitative models that drive our success. Your talents for research, analysis and aptitude for innovation will define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment.

Whatever your background, you will bring a fresh perspective and unique skillset to our business. In return, you will be trained by our experts to navigate the complexities of the financial markets.
An ordinary day is anything but. You may work on alpha generating strategies; discuss portfolio allocation problems; and build models for prediction, trading automation, data analysis and more. Whichever your area of contribution, your ideas will have measurable effect on our business and for our clients.

RESPONSIBILITIES

  • Working closely with portfolio managers to build quantitative models and tools to streamline portfolio management process
  • Developing sustainable production systems, which can evolve and adapt to changes in our fast-paced, global business environment.
  • Developing quantitative analytics and signals using advanced statistical, quantitative, or econometric techniques to improve the portfolio construction process and improve portfolio performance
  • Developing rigorous and scalable data management/analysis tools to support the investment process.
  • Implementing mathematical models and analytics in production-quality software

QUALIFICATIONS

  • Background in a quantitative discipline (e.g. mathematics, engineering, physics, or computer science) with a preference for Masters and PhDs
  • Municipal and corporate credit markets experience beneficial
  • Strong mathematical and analytical skills
  • Desire and ability to create innovative solutions to commercial challenges
  • Proficient in at least one programming language, and proven experience in production software development life cycle (SDLC)
  • Excellent communication skills
  • A self-starter, should have ability to work independently as well as thrive in a team environment

GOLDMAN SACHS ENGINEERING CULTURE

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 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!

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
 
© The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
Quantitative Engineer
Goldman Sachs
Goldman Sachs

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