Global Banking & Markets, Prime Brokerage Client Analytics Strats, Associate, Hong Kong

Goldman Sachs; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Goldman Sachs in Hong Kong seeks a quantitative software engineer to join the Prime Brokerage & Synthetic Products Group. You will build analytics, pricing tools and scalable workflows to optimize asset allocation, funding efficiency and identify trade opportunities with HF clients.

The role blends programming, statistics and communication to work with Trading, Sales and Funding teams across global markets. Strong coding in C++, Java or Python is required.

Qualifications

• Bachelor's or Master's in a relevant field (Applied Math, Engineering, Physics, Finance).
• 2.5+ years in a quantitative role.
• Strong programming in C++, Java, Python or equivalent.
• Solid statistics and probability knowledge.
• Proven track record solving quantitative problems under pressure.
• Global team collaboration and rapid delivery.
• Knowledge of financial markets and Prime Brokerage is a plus.
• Excellent verbal and written communication.
• Interest in data engineering and infrastructure buildout.

Responsibilities

• Develop client pricing logic and inventory/capital optimization.
• Transform large data sets into actionable insights.
• Design scalable solutions to support client workflows.
• Automate operations to improve decision making.
• Collaborate with Trading, Sales and Funding teams across global platforms.
• Contribute to Agentic AI solutions initiatives.

Skills

C++

Java

Python

Statistics

Data engineering

Communication

Problem solving

Team collaboration

Education

Bachelor's/Master's in Applied Mathematics, Engineering, Physics or Finance

Job description

What We do

Our team is a fundamental part of the Prime Brokerage & Synthetic Products Group which form part of the Prime Services business within the Securities Division. This role is focused on the buildout of analytics, logic, pricing tools and scalable workflows to incentivize optimal allocation of assets from HF Clients, improve the firm’s funding and capital efficiency and to identify trade opportunities with clients systematically. Our teams work closely with securities lending, funding and the Synthetic Product desks in pricing, conducting transactions and managing risk.

Job Description

What We do

Our team is a fundamental part of the Prime Brokerage & Synthetic Products Group which form part of the Prime Services business within the Securities Division. This role is focused on the buildout of analytics, logic, pricing tools and scalable workflows to incentivize optimal allocation of assets from HF Clients, improve the firm’s funding and capital efficiency and to identify trade opportunities with clients systematically. Our teams work closely with securities lending, funding and the Synthetic Product desks in pricing, conducting transactions and managing risk.

Your Impact

If you are looking for a high impact position allowing you to fully leverage your strong quantitative, programming and communication skills, then our team is the ideal opportunity for you. You will build systems and platforms, identify new revenue opportunities and help execute on them while working closely with Trading, Sales and Funding teams. You will establish and build on existing partnerships with colleagues across the Global Markets Division. You will enjoy a role that rewards multi-tasking, initiative and strong execution. You will not only have a direct impact on key revenue streams within Prime Services business, but also have the chance to realize additional revenue opportunities.

Responsibilities

As a member of this team, you will be expected to possess comprehensive knowledge of equities markets, quantitative and technical skillsets and acquire in-depth expertise regarding driving revenue, market and wallet share and capital optimization. You will be tasked with developing client pricing logic and axes accounting for inventory needs, funding and capital across both developed and emerging markets in partnership with trading and funding teams and transforming large and complex data sets into actionable insights or optimizing pricing structures. You will also design and implement scalable solutions that support client workflows, automate operational processes that streamline client engagement and improve decision making across global platforms. On the forward, we are investing in building Agentic AI solutions to solve business problems.

Who We Look For

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in AI, risk management, big data and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.

Basic Qualifications

• Bachelors/Masters in a relevant field – Applied Mathematics, Engineering, Physics or Finance
• 2.5 or more years’ experience in a quantitative role
• Strong programming skills in C++, Java, Python or equivalent language
• Strong understanding of advanced statistics and probability.
• A track record of solving quantitative problems and delivering results in a high-pressure environment
• Ability to work as part of a global team and deliver results quickly and demonstrate initiative
• Knowledge of financial markets is preferred. Understanding Prime Brokerage products is a plus
• Excellent verbal and written communication skills
• Interest in data engineering and relevant infrastructure buildout, including data pipeline and database design.
• Practical experience in solving mathematical/statistical/machine learning problems.
• Ability and willingness to pick up new business and technical knowledge.
• Ability to solve technical problems and explain the underlying ideas to a non-technical audience.

Preferred Qualifications

• Knowledge of financial markets is preferred. Understanding Prime Brokerage products is a plus
• Excellent verbal and written communication skills
• Interest in data engineering and relevant infrastructure buildout, including data pipeline and database design.
• Practical experience in solving mathematical/statistical/machine learning problems.
• Ability and willingness to pick up new business and technical knowledge.
• Ability to solve technical problems and explain the underlying ideas to a non-technical audience.

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

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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.