Full-Time
Quantitative Researcher – 2025 Grads
Quantitative trading firm developing autonomous trading agents.
Venture Capital
Financial Services
$175000 - $250000
Bonus
Entry
New York, NY, USA
Required Skills
Python
Data Structures & Algorithms
NumPy
Linux/Unix
Requirements
- Earned or will earn a degree in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, or related fields
- Demonstrable experience coding in C++ or Python in a Linux environment
- Have experience analyzing large datasets with rigorous statistical and machine learning approaches, including classification, clustering, and regression
- In depth technical knowledge of AI, deep learning, and machine learning algorithms including strong knowledge of the mathematical underpinnings behind these various methods
- Have innate curiosity for understanding why and how certain techniques work
- Have deep knowledge of time-series analysis
- Advanced knowledge of a high-level language for numerical analysis, Python (numpy/scipy stack) preferred
- Contribution to AI and ML research communities, top-tier peer reviewed publications, publishing/presenting papers at conferences such as NeurIPS, ICML, etc.
- Have interest and enthusiasm for learning about financial markets (previous experience not required)
Responsibilities
- Contribute to the research and development of fully autonomous trading agents
- Apply cutting edge machine learning and artificial intelligence algorithms to vast amounts of market data
- Generate impactful research in academic and professional pursuits
- Analyze large datasets with rigorous statistical and machine learning approaches
- Test hypotheses derived from successful quantitative trading
- Promote a fun environment with ping pong and poker games, fun team outings, unlimited office snacks, free breakfast, lunch, and dinner, and gym membership
Company Stage
N/A
Total Funding
N/A
Headquarters
New York, New York
Founded
2013
Growth & Insights
Headcount
6 month growth
↓ -22%1 year growth
↓ -5%2 year growth
↓ -5%Benefits
Ping pong and poker games
Fun Team Outings
Unlimited office snacks
Free breakfast, lunch, and dinner
Gym Membership
Full health insurance coverage for employees and dependents