• Divisional Strats - Front Office Market Risk

    Location(s) US-NY-New York
    Job ID
    Business Unit
    Securities Desk Strats
    Employment Type

    What We Do


    Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor.



    Your Impact


    As a strategist who sits in the Securities Division, you will play an integral role on the trading floor. You may create cutting-edge derivative pricing models and empirical models to provide insight into market behavior, or develop automated trading algorithms for the firm and its clients. You might be involved in analyzing exposures and structuring transactions to meet client needs, or involved in designing and developing complex parallel computing architectures, electronic trading tools, and advanced algorithms. Throughout the Securities Division, strategists are using quantitative and technological techniques to solve complex business problems.


    Who We Look For




    • Developing cross-asset risk platform for securities business for both end-of-the-day and real-time risks
    • Providing analytics to the trading desks and trading heads, focusing on risk, scenarios and Profit and Loss analysis
    • Optimizing existing infrastructure for better performance
    • Creating ad hoc tools and risk metrics to disentangle complex risks and positions
    • Proposing cost-effective and sensible macro-hedges
    • Constantly liaising with frontline risk managers


    Basic Qualifications:

    • Strong academic background in a relevant STEM  field (Computer Science, Engineering, Physics or Mathematics)
    • Ability to focus both on details and on the big picture, as requested
    • Strong programming skills (OOP, SQL)
    • Ability to work with sizable datasets
    • Strong interpersonal/communication skills
    • Good team player, willing to learn


    Preferred Qualifications:

    • Minimum of 2 years of programming experience, preferably in finance
    • Interest in financial market and risk management
    • Derivatives product knowledge
    • Strong Financial Mathematics
    • Knowledge of Counterparty and Funding Adjustments (CVA, FVA, …)
    • Financial Econometrics
    • Machine Learning and Artificial Intelligence techniques


    Who We Are


    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 our Technology Division and global Strategists groups, 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.


    The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.

    © The Goldman Sachs Group, Inc., 2018. All rights reserved Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet.