Securities, Equities, Prime Services Strategist, Analyst/Associate, Hong Kong

Job description

Job Summary & Responsibilities

DIVISIONAL OVERVIEW
Goldman Sachs’ Strats business unit is a world leader in developing quantitative and technological techniques to solve complex business problems. Working within the firm’s trading, sales, banking and investment management divisions, strats use their mathematical and scientific training to create financial products, advise clients on transactions, measure risk, and identify market opportunities.

Prime Services Strat Roles
The Prime Services Strats group in Securities Strats is an instrumental part of various desks in the Prime Brokerage of Goldman Sachs.  Prime Services Strats are heavily engaged in the following areas:

- Stock loan funding
o Working within the securities lending trading desk to conduct transactions and manage risk
o Building and maintaining trading and inventory management platforms
o Developing financial models to optimally fund the prime brokerage
o Identifying trade opportunities systematically
o Automating manual processes

- Client Analytics
o Working with sales team
o Develop external and internal client performance metrics

- Data scientists
In all areas of Prime Services huge amounts of data are generated on a daily basis.  In order to fully leverage these datasets in conjunction with market data and other internal data points within the Securities Division, the Prime Services Strat group is looking to hire a data scientist.  Signals derived from these datasets will help to improve processes and provide enhanced market color.  Apart from being tightly integrated in the global Prime Services team, the data scientist will work closely with other data scientists in the Securities Division.

Preferred Qualifications

• Strong academic background in a relevant field - mathematics, statistics, engineering, or computer science, including a strong quantitative understanding of statistics and probability
• Extensive understanding of key analytics methods (e.g. machine learning techniques)
• Practical experience in applying cutting-edge statistical techniques to large, complex datasets in order to solve business problems
• Strong programming skills in C++, Java,  or equivalent language
• Ability to work as part of a global team and deliver results quickly
• Ability to solve technical problems and explain the underlying ideas to a non-technical audience
• Strong written and verbal communication skills
• Knowledge of financial markets or financial mathematics a plus

Goldman Sachs is an equal opportunity employer. © The Goldman Sachs Group, Inc., 2015. All rights reserved.

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