Quantitative Researcher at BHFT

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

0.0

Posted On

16 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Quantitative Research, Trading Strategies, Statistical Analysis, Data Mining, Predictive Modeling, Market Microstructure, L2 Market Data, L3 Market Data, Problem-Solving, Python, C/C++, Rust, Collaboration, Communication, Risk Management, Algorithmic Trading

Industry

Financial Services

Description

Company Description BHFT is a proprietary algorithmic trading firm. Our team manages the full trading cycle, from software development to creating and coding strategies and algorithms. Our trading operations cover key exchanges. The firm trades across a broad range of asset classes, including equities, equity derivatives, options, commodity futures, rates futures, etc. We employ a diverse and growing array of algorithmic trading strategies, utilizing both High-Frequency Trading (HFT) and Medium-Frequency Trading (MFT) approaches. Looking ahead, we are expanding into new markets and products. As a dynamic company, we continuously experiment with new markets, tools, and technologies. We’ve got a team of 200+ professionals, with a strong emphasis on technology—70% are technical specialists in development, infrastructure, testing, and analytics spheres. The remaining part of the team supports our business operations, such as Risks, Compliance, Legal, Operations and more. With a strong focus on innovation and performance, BHFT is actively expanding its presence in traditional financial markets. We value a results-driven culture, emphasizing collaboration, transparency, and constant improvement, all while offering the flexibility of remote work and a globally distributed team. Job Description Conduct extensive market research to identify new trading opportunities; Design and PoC implementation of effective trading strategies based on your market research findings; Perform research and TCA of existing trading strategies to enhance risk-adjusted returns and adapt to changing market conditions; Collaborate with colleagues to leverage diverse expertise in refining and optimizing strategies. Qualifications 5+ years in Quantitative Research/Trading, with specialization in CME futures strategies; Experience with market-making trading strategies; Strong knowledge of statistical analysis, data mining, and predictive modeling; Understanding of market microstructure; Experience with using L2 / L3 market data for research; Exceptional quantitative and mathematical skills, adept problem-solving; Proficient in any research-oriented programming language (Python preferred), ability to write efficient code; Strong collaborative spirit, work ethics, and a determined drive for success; ability to work both independently and as part of a team; Strong communication skills, with the ability to clearly explain complex ideas. Additional Information Preferred Qualifications: Advanced degree (PhD or Master's) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Physics or a related field; Good programming skills in programming languages like C/C++ or, Rust.

Responsibilities

Conduct extensive market research to identify new trading opportunities and design effective trading strategies based on findings. Collaborate with colleagues to refine and optimize existing strategies to enhance risk-adjusted returns.