Equities Revenue Analytics Engineers are responsible for building and maintaining Broker, Clearing & Execution (BC&E) costs calculation engines for Equities business.
BC&E costs are underlying costs for trading in exchange, as well as clearing and settlement of the trading activities. We build big data solutions to process large volume of trade data, perform BC&E costs calculation, store and analyze BC&E costs data for the Equities trading business.
Our team works closely with business and operational users to understand and translate functional requirements into technical requirements for driving the global GSET (Goldman Sachs Electronic Trading) business and supporting Global Markets clients of Goldman Sachs.
The team provides high commercial impact data for client profitability analysis and facilitate client pricing decision. Help business to understand the underlying driver of BC&E costs in each market.
We perform BC&E costs simulation for client profitability projection, as well as ad-hoc analysis to answer key business questions in a dynamic, fast-paced environment.
What will be your responsibility?
Analyze trading costs across execution venues and impact of different trading patterns / strategies
Build trading costs calculators to provide significant commercial impact data for client profitability analysis and facilitate client pricing decision
Build intelligent analytic tool to perform advanced level trading costs analysis
Identify opportunities in optimizing clients trading profitability via trading costs reduction
Build API for clients' trading costs billing
Uplift existing platform to the firm strategic data platform
How will you fulfill your potential?
Solve complex business problems through application of technology and data science techniques
Opportunity for significant commercial impact through providing new business intelligence and informing business decisions
Help to scale rapidly growing businesses through technology and automation of data analytics
Develop deep knowledge of the Equities business and APAC market structure
Basic Qualifications
Bachelor's or Master's degree in Computer Science, Computer Engineering or related field
Experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts
Strong technical, analytical and problem-solving skills
Development experience with Python, Java and / or SecDB, and with a solid OO background
Development experience with REST Services
Knowledge of SQL and Database (Sybase, MongoDB, ES, memSQL)
Highly motivated, committed, proactive, capable of working to timelines, high degree of attention to detail
Strong team player and strong communicator
Preferred Qualifications
Development experience with Data Analytics, Visualization and REST Services
Prior experience working with front office trading systems and data warehouses
Interest in Equities trading and financial markets 
