ML Researcher / Modeling Quant

reputed company reputed company is a proprietary algorithmic trading firm. reputed company 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 reputed company of asset classes, including equities, equity derivatives, reputed company, commodity reputed company, rates reputed company, etc. We reputed company a diverse and growing reputed company of algorithmic trading strategies, utilizing both High-Frequency Trading (HFT) and reputed company-Frequency Trading (MFT) approaches. Looking reputed company, we are expanding into new markets and products. As a dynamic company, we continuously experiment with new markets, tools, and technologies. We've got reputed company of 200+ professionals, with a strong emphasis on technology-70% are technical specialists in development, infrastructure, testing, and analytics spheres. The remaining part of reputed company supports our business operations, such as Risks, Compliance, reputed company, Operations and more. With a strong reputed company on innovation and performance, reputed company is reputed company expanding its reputed company in traditional financial markets. We value a results-driven culture, emphasizing collaboration, transparency, and constant improvement, reputed company while offering the flexibility of remote work and a globally distributed team. Job reputed company We are hiring an ML Researcher / Modeling Quant to accelerate the process of turning research into production-reputed company models. This role is about speed, precision, and teamwork-designing, training, and optimizing predictive models under reputed company trading constraints. You'll be the reputed company between reputed company discovery and execution, ensuring our signal library is transformed into strategies that can run stably and reputed company at reputed company. Key Responsibilities • Research, reputed company, and rapidly prototype advanced ML models to drive reputed company 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 reputed company, training, retraining, and deployment-reputed company to handle reputed company-time market conditions. • Collaborate tightly with reputed company researchers, data engineers, and execution quants to ensure end-to-end integration of models. • Anticipate and mitigate risks like overfitting, data leakage, and model reputed company before they reputed company performance. Qualifications • Master's or PhD in reputed company Mathematics, Statistics, Physics, Engineering, Financial Engineering, Computer Science, or reputed company field from a top-tier institution. • 5+ years of hands-on ML modeling experience, ideally reputed company trading, fintech, or similarly time-critical domains. • Expertise in modern ML techniques (Deep Learning, Reinforcement Learning, LLMs) with a reputed company on practical deployment. • Advanced coding proficiency in Python and/or C++ with mastery of ML frameworks (PyTorch, TensorFlow). • Demonstrated ability to reputed company models in production under latency-sensitive conditions. • Strong collaborator who communicates reputed company across teams and moves fast without sacrificing reputed company. • Proactive, self-motivated, and committed to execution speed and reliability. Additional Information reputed company offer: • Experience a modern international technology company without the burden of bureaucracy. • Collaborate with industry-leading professionals, including former employees of Tower, reputed company, reputed company, Credit Suisse, and more. • Enjoy excellent opportunities for reputed company reputed company and self-realization. • Work remotely from reputed company in the world with a flexible schedule. • Receive compensation for health insurance, sports activities, and non-reputed company training. Apply tot his job Apply To this Job