Senior Data Analyst
About The Position
Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential.
Requirements
- Master’s degree or foreign equivalent in Quantitative Finance, Financial Engineering, Computer Science, Statistics or related quantitative field.
- One (1) year of experience in the financial industry.
- Must have experience with the following: Programming in Python and R;
- Programming in C#, C++, or Java;
- Programming in SQL or KDB;
- Using data analysis libraries;
- Data processing in cloud platform; and
- Machine learning.
- Skills may be gained through academic coursework and concurrently while pursuing academic studies.
Responsibilities
- Collect new datasets from various sources including market data feeds, vendor data feeds, brokers, and other internal and external sources.
- Build processes to clean, transform, tag, and present datasets.
- Monitor and maintain the data process, ensuring data quality and accuracy throughout the data lifecycle.
- Engage with vendors to understand the characteristics of datasets.
- Collaborate with cross-functional teams to build internal data products.
- Research alpha sources in order to identify patterns and trends in data.
- Develop and improve internal data catalog.
- Stay up to date with new technologies and techniques in data science and machine learning.
- Collaborate and interact with trading teams on data findings and insights.
Benefits
- Generous paid time off policies
- Savings plans and other financial wellness tools available in each region
- Hybrid working opportunities
- Free breakfast, lunch, and snacks daily
- In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more)
- Company-sponsored sports teams and fitness events (JPM Corporate Challenge, Cycle for Survival, Wall Street Rides FAR and more)
- Volunteer opportunities and charitable giving
- Social events, happy hours, treats, and celebrations throughout the year
- Workshops and continuous learning opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
