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Job Description
Quantitative Researcher Algorithmic Trading
The algorithmic trading team at GTS is seeking applications for the role of Quant Researcher. The successful candidate will be part of the team evaluating, optimizing, and producing analytics to improve the performance of our algorithmic execution strategies. They will work closely with traders and developers to refine these processes in support of revenue-generating trading algorithms. The algorithmic trading team at GTS produces execution algorithms that execute in the market and internalize flows within GTS. The quantitative researchers represent a critical piece of this operation.
The successful candidate will work with subject matter experts in addition to senior traders and developers. They will develop a deep understanding of algorithmic trading strategies, market microstructure, trading infrastructure, trading systems, and evaluation metrics. Candidates should be ambitious and motivated. They need to be capable of both designing and implementing processes that can be automated and scaled, handling production problems that arise in real-time, and over time contributing views on how these complex systems should be best organized and managed.
About GTS
GTS is a collection of financial services companies spanning a wide array of asset classes and investment approaches, all powered by the combination of market expertise with innovative, proprietary technology. With roots as a quantitative trading firm continually building for the future, the GTS family of companies is able to leverage the latest in artificial intelligence systems and sophisticated pricing models to bring consistency, efficiency, and transparency to today’s financial markets. GTS’s electronic market maker GTS Securities accounts for 3-5% of daily cash equities volume in the U.S. and is a leading Designated Market Maker (DMM) at the New York Stock Exchange, responsible for nearly $13 trillion of market capitalization. For more information on GTS, please visit www.gtsx.com.
Responsibilities
Sample Problems/Projects:
- The algorithms produce security-specific quantitative parameters to define how they trade.
- Predict intraday quantitative parameters from historical data.
- Predict intraday volume patterns and velocity.
- Identify sparse data symbols and create models to handle them.
- Design communication models between predictions and trading systems.
- Analyze algorithmic outcomes to propose improvements to scheduling and order placement.
- Research alpha models used for pricing, venue selection, and internalization decisions.
- Research and propose new internalization models to improve algorithmic PnL.
This is an opportunity to join a new greenfield team in our algorithmic trading business. In this role, you will be collaborating closely with traders on proprietary trading opportunities.
Qualifications
- 3-5 years experience with algorithmic trading systems and models is preferred.
- B.S./M.S. from a leading university in a STEM discipline.
- Deep understanding and ability in mathematics and statistics.
- Excellent programming skills in Python.
- Strong proficiency in data analytics and quantitative techniques.
- Attention to detail, exceptional organization, and proclivity for automation.
- Excellent communication skills: ability to express complex concepts in simple terms.
- Ability to work independently and as part of a team in a fast-paced environment.
We're proud to employ leading talent in the industry and work to ensure our employees enjoy a high quality of life.
Compensation and Benefits
In accordance with New York City's Pay Transparency Law, the base salary range for this role is $150,000 to $225,000. Base salary does not include other forms of compensation or benefits.
Core Benefits: Medical, Dental, and Vision coverage with generous employer contribution for employees and dependents. 401k match.
Perks: Daily Meal Allowance, Equinox Corporate Membership Rate, Snacks, Office Game Room, Casual Dress.
Hybrid Work Policy: 4 Days a Week in office, Fridays can be worked from home.
Please note: The use of AI tools during interviews is strictly prohibited, unless explicitly agreed upon.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status, and will not be discriminated against on the basis of disability.
Key skills/competency
- Quantitative Research
- Algorithmic Trading
- Python Programming
- Data Analytics
- Mathematics
- Statistics
- Market Microstructure
- Trading Systems
- Automation
- Financial Markets
How to Get Hired at GTS
- Tailor your resume: Highlight your 3-5 years of experience in algorithmic trading systems and quantitative techniques, emphasizing Python proficiency and STEM background.
- Showcase quantitative skills: Detail your deep understanding of mathematics, statistics, and data analytics, providing examples of complex concepts you've simplified.
- Demonstrate automation aptitude: Emphasize your proclivity for automation, exceptional organization, and attention to detail in previous roles.
- Prepare for technical interviews: Be ready to discuss your experience with market microstructure, trading infrastructure, and algorithmic outcomes.
- Understand GTS's mission: Research GTS's use of AI, pricing models, and market expertise to bring efficiency to financial markets.
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