Quantitative Trader - 2027
Tower Research CapitalAbout the Role
Tower Research Capital is a leading quantitative trading firm where you will design, implement, and deploy high-frequency trading algorithms. You'll explore trading ideas by analyzing market data and microstructure for patterns, create analytical tools, and contribute to libraries supporting market data analysis. You will develop and calibrate exchange simulators while communicating with internal and external teams to handle real-time trading issues and improve market understanding. Additionally, you'll help shape the future of Tower through interviewing and campus recruiting.
Requirements
- A Bachelor's, Master's, or PhD degree in computer science, mathematics, physics, electrical engineering, or related fields
- 0-2 years of experience
- Proficient in an object-oriented programming language (C++ and Python preferred)
- A working knowledge of Linux/Unix
- Strong problem-solving abilities
- A passion for new technologies and ideas
- The ability to manage multiple tasks in a fast-paced environment
- Strong communication skills
- Interest in financial markets
- Past industry experience (preferred, not required)
- Experience as a Teaching Assistant and/or participation in relevant Olympiads (preferred, not required)
- Familiarity with machine learning, data analysis, market research and data modeling (preferred, not required)
What You'll Get
- $150k–$250k base salary
- 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