Quantitative Researcher/Data Scientist
New York
Full Time Mid-level / Intermediate USD 100K+
Tower Research Capital
Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Quantitative Researcher/Data Scientist to join our team.
Responsibilities
- Cleaning, visualizing, analyzing, and researching various sources of data to gain actionable value-adding insights
- Implementing prototype code and models to be implemented in the team’s systems
- Generating automated reports
- Building libraries to support analytics and tools for interactive analysis
Qualifications
- A bachelor’s or master’s degree in Financial Engineering, Computer Science, Finance, Quantitative Finance, or a related field
- 0-3 years of experience
- Background in probability, statistics, bayesian statistics, time series, optimization and control, classical statistical learning, and machine learning methods
- Experience developing with Python, Jupyter notebooks, common numerical/statistical/data science packages
- Familiarity with Git/Linux/Code review
- Knowledge of financial markets, including futures, fixed income products, central limit order books, financial market players, quantitative trading/portfolio management techniques, and investment theory
Anticipated New York annual base salary range $100,000-175,000, plus eligible for discretionary bonus
Benefits
Tower is headquartered in New York City, and has offices around the globe. While we work hard, Tower’s cubicle-free workplace, jeans-clad workforce, and well-stocked kitchens reflect the premium the firm places on quality of life. Benefits include:
- 5 weeks of paid vacation plus paid holidays
- Free breakfast, lunch, and snacks on a daily basis
- Reimbursement for health and wellness expenses
- Free events and workshops
- Donation matching program
Tower Research Capital is an equal opportunity employer.
Tags: Bayesian Computer Science Engineering Finance Git Jupyter Linux Machine Learning Python Research Statistics
Perks/benefits: Career development Health care Lunch / meals Salary bonus Team events Wellness
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