ML Researcher Modeling Quant

New York City, NY - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

We are hiring an ML Researcher / Modeling Quant to accelerate the process of turning research into production-ready models. This role is about speed precision and teamworkdesigning training and optimizing predictive models under real trading constraints. Youll be the bridge between alpha discovery and execution ensuring our signal library is transformed into strategies that can run stably and efficiently at scale.

Key Responsibilities

Research develop and rapidly prototype advanced ML models to drive strategy performance across liquid markets.
Design and optimize deep learning architectures that translate signals and features into actionable strategies.
Evaluate and improve existing production models by refining parameterization optimizing inference speed and scaling training workflows.
Own and maintain robust automated ML pipelines for feature generation training retraining and deploymentbuilt to handle real-time market conditions.
Collaborate tightly with alpha researchers data engineers and execution quants to ensure end-to-end integration of models.
Anticipate and mitigate risks like overfitting data leakage and model drift before they impact performance.

Qualifications :

Masters or PhD in Applied Mathematics Statistics Physics Engineering Financial Engineering Computer Science or related field from a top-tier institution.
5 years of hands-on ML modeling experience ideally within trading fintech or similarly time-critical domains.
Expertise in modern ML techniques (Deep Learning Reinforcement Learning LLMs) with a focus on practical deployment.
Advanced coding proficiency in Python and/or C with mastery of ML frameworks (PyTorch TensorFlow).
Demonstrated ability to deploy models in production under latency-sensitive conditions.
Strong collaborator who communicates clearly across teams and moves fast without sacrificing quality.
Proactive self-motivated and committed to execution speed and reliability.

Additional Information :

What we offer:

Experience a modern international technology company without the burden of bureaucracy.
Collaborate with industry-leading professionals including former employees of Tower DRW Broadridge Credit Suisse and more.
Enjoy excellent opportunities for professional growth and self-realization.
Work remotely from anywhere in the world with a flexible schedule.
Receive compensation for health insurance sports activities and non-professional training.

Remote Work :

Yes

Employment Type :

Full-time

We are hiring an ML Researcher / Modeling Quant to accelerate the process of turning research into production-ready models. This role is about speed precision and teamworkdesigning training and optimizing predictive models under real trading constraints. Youll be the bridge between alpha discovery a...

Key Responsibilities

Research develop and rapidly prototype advanced ML models to drive strategy performance across liquid markets.
Design and optimize deep learning architectures that translate signals and features into actionable strategies.
Evaluate and improve existing production models by refining parameterization optimizing inference speed and scaling training workflows.
Own and maintain robust automated ML pipelines for feature generation training retraining and deploymentbuilt to handle real-time market conditions.
Collaborate tightly with alpha researchers data engineers and execution quants to ensure end-to-end integration of models.
Anticipate and mitigate risks like overfitting data leakage and model drift before they impact performance.

Qualifications :

Masters or PhD in Applied Mathematics Statistics Physics Engineering Financial Engineering Computer Science or related field from a top-tier institution.
5 years of hands-on ML modeling experience ideally within trading fintech or similarly time-critical domains.
Expertise in modern ML techniques (Deep Learning Reinforcement Learning LLMs) with a focus on practical deployment.
Advanced coding proficiency in Python and/or C with mastery of ML frameworks (PyTorch TensorFlow).
Demonstrated ability to deploy models in production under latency-sensitive conditions.
Strong collaborator who communicates clearly across teams and moves fast without sacrificing quality.
Proactive self-motivated and committed to execution speed and reliability.

Additional Information :

What we offer:

Experience a modern international technology company without the burden of bureaucracy.
Collaborate with industry-leading professionals including former employees of Tower DRW Broadridge Credit Suisse and more.
Enjoy excellent opportunities for professional growth and self-realization.
Work remotely from anywhere in the world with a flexible schedule.
Receive compensation for health insurance sports activities and non-professional training.

Remote Work :

Yes

Employment Type :

Full-time

Key Skills

Intelligence Community Experience
Python
Spss
Microsoft Word
R
Regression Analysis
Windows
Stata
Microsoft Powerpoint
Research Experience
Data Modeling
Writing Skills

Apply Now

About Company

BHFT

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, eq ... View more

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