Algorithmic Trading Data Analyst/Engineer

About the role

The ideal candidate will be a highly analytical, motivated, and self-driven data engineer with a strong background in designing and constructing highly scalable and flexible data management systems.

Responsibilities

• Build, enhance, and maintain a 35 TB historical database that grows by about 200 GB every day.
• Closely collaborate with quantitative researchers to build/improve the necessary databases and services for their research.
• Work closely with the sales and other client-facing teams to provide analytical solutions to their questions about execution performance.
• Act as a mentor to other team members and coach them on best practices and engineering standards.
• Occasionally troubleshoot production issues when they occur.

Requirements

• Experience working with large financial datasets like market data, order/execution data, or positions data.
• Experience with data analysis using languages such as KDB+/Q, R, Python/Pandas.
• Comfortable with mathematical concepts such as regression techniques, and statistical analysis.
• Strong analytical and problem-solving skills with a proactive attitude to own issues and solve them.
• Excellent team-player and communication skills.

Desired

• Experience with algorithmic execution and TCA especially in the futures/cash treasuries market.
• Familiarity with distributed trading systems/parallel computing.
• Proficiency with C++, REST APIs, and UI technologies/frameworks such as Node.JS, Angular.

Benefits

Commensurate with experience.

Pay

TBD

Schedule

TBD

Skills

Not specified

Qualifications

Not specified