Senior Quantitative Strategist, Global Banking & Markets, FICC Systematic M at Goldman Sachs

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Aug, 26

Salary

300000.0

Posted On

26 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quantitative Modeling, C++, Python, Java, Machine Learning, Data Science, Fixed Income Mathematics, Derivatives Pricing, Monte-Carlo Simulations, Object Oriented Programming, Statistics, Financial Analysis

Industry

Financial Services

Description

What We Do Our quantitative strategists are at the cutting edge of our business, solving real-world problems through a variety of analytical methods. Working in close collaboration with bankers, traders and portfolio managers across the firm, their invaluable quantitative perspectives on complex financial and technical challenges power our business 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 in global financial markets. 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 across the firm to navigate the complexities of the financial markets and state-of-the-art methods in quantitative finance. An ordinary day is anything but. You may work on alpha generating strategies; discuss portfolio allocation problems; and build models for prediction, pricing, trading automation, data analysis and more. Whichever your area of contribution, your ideas will have measurable effect on our business and for our clients. How You Will Fulfill Your Potential * Exposure to challenging quantitative problems such as modeling risks for derivatives, large scale Monte-Carlo simulations of complete portfolios across the firm, fast and accurate approximate valuation measurements. * Exposure to machine learning and data science, and applications in finance. * Gain understanding of evolving regulatory framework and leverage quantitative skills to help the firm manage capital resources. * Engage with business users and engineers across all areas of the business to understand their requirements and to propose solutions tailored to their needs. * Broad exposure to pricing and calibration models for a variety of financial products, including derivatives, illiquid cash products, private equity, etc. * Autonomously design and write solutions to help our stakeholders deliver for the firm’s clients. * You’ll be encouraged to suggest improvements to products and to propose ways in which we can add value for our stakeholders. * Your manager will support your professional development, allowing you time for training at work, helping you learn and grow within the organization, and providing opportunities for increasing responsibility. Who We Look For * PhD or Masters in applicable field such as Computer Science, Mathematics, Physics, Engineering, Computational Finance, Quantitative Finance. * Strong programming skills and experience with an object oriented programming language (such as C++, Python, Java). * Strong analytical and problem solving skills using math, statistics, and programming. * 5+ years of work experience is preferable. * Prior experience in Finance industry is preferable. * Work experience in data analysis is preferable. * Basic fixed income & bond mathematics knowledge is preferable. * Experience in development of models for bespoke financial products is preferable. Salary Range The expected base salary for this New York, New York, United States-based position is $150,000 - $300,000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end. 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 [https://www.goldmansachs.com/careers/footer/disability-statement.html] © The Goldman Sachs Group, Inc., 2026. All rights reserved.

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Responsibilities

Develop quantitative models for prediction, pricing, and trading automation to drive success in global financial markets. Collaborate with bankers and traders to solve complex financial challenges and manage capital resources within regulatory frameworks.