Algorithmic Trading Data Analyst/Engineer

HRB; New York (NY); On-site; USD 100,000 - 160,000; Full time

Job summary

A leading global financial technology company in NYC seeks a Data Engineer to design scalable data management systems. You will contribute significantly to the analytics platform, enhance data solutions, and mentor team members while collaborating across departments. The role requires expertise in large financial datasets and proficiency in various data analysis languages, offering an exciting opportunity within a tech-driven environment.

Qualifications

• Experience with large financial datasets.
• Strong analytical and problem-solving skills.
• Proficiency in data analysis using KDB+/Q, R or Python.

Responsibilities

• Build and maintain a 35 TB historical database that grows daily.
• Collaborate with researchers to enable data-driven insights.
• Mentor team members and troubleshoot production issues.

Skills

Data analysis

Problem-solving

Team-player

Statistical analysis

Tools

KDB+/Q

Python/Pandas

C++

REST APIs

Node.JS

Angular

Job description

Our client is a global financial technology company, provider of advanced algorithms and data-driven analytics for clients in Futures and US CashTreasury markets.
They are looking for a highly analytical, motivated, and self-driven data engineer with a strong background in designing and constructing highly scalable and flexible data management systems to join our algorithmic trading data analytics/infrastructure team in NYC. You will have the opportunity to make significant contributions to our pre/post trade analytics platform and help define our product’s strategic direction through thoughtful design and detailed analysis. As a key member of this team you will be responsible for building, enhancing and maintaining our 35 TB historical database which grows by about 200 GB every day. You will closely collaborate with quantitative researchers and build/improve the necessary databases and services to enable their research. You will also work closely with the sales and other client facing teams to provide analytical solutions to their questions about execution performance.Additionally, you will act as a mentor to other team members and coach them on best practices and engineering standards.You may also be occasionally required to troubleshoot production issues when they occur.

Skills and Background:

Required:

• 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
• Experience working in a Unix/Linux environment
• 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 is a big plus
• Familiarity with distributed trading systems/parallel computing
• Proficiency with C++, REST APIs and UI technologies/framework such as Node.JS, Angular