Machine Learning Researcher

We are seeking a highly analytical and detail-oriented Quantitative Researcher to join our dynamic research team. The ideal candidate will have deep experience curating and analyzing a broad range of trading-related data sources—including traditional market data, fundamental datasets, and other vendor-supplied information. This role will contribute to the development of innovative trading strategies, support data-driven decision-making, and collaborate closely with trading, technology, and data acquisition teams. Key Responsibilities: * Curate, cleanse, and validate large volumes of market data, focusing on US equity and equity options * Integrate, preprocess, and evaluate fundamental & alternative data sources * Work closely with data acquisition & global data team to assess data quality * Build and maintain robust data pipelines for research and live trading environments * Perform data analysis ad statistical modeling to identify patterns and inefficiencies in the market * Ensure the accuracy, completeness, and timeliness of datasets used in quantitative modeling. * Document research processes, data provenance, and results with high standards of clarity and reproducibility * Collaborate with software engineers and traders to translate research into production-grade models and tools * Conduct quantitative research and analysis to support and enhance trading strategies  Required Skills & Experience: * 3+ years of experience in a quantitative research or data-focused role in financial markets, ideally in a systematic trading environment * Proven experience working with a diverse range of trading and financial data * Must have previous knowledge of options markets and experience working with options data * Hands-on experience integrating and analyzing non-market data sources is a plus * Strong understanding of data vendor landscape * Advanced proficiency in Python * Experience with databases (SQL) and handling large datasets efficiently * Familiarity with real-time data systems and tick-level data processing * Familiarity with statistical and machine learning techniques * Exceptional attention to detail and a systematic approach to problem-solving * Strong written and verbal communication skills #LI-DNP The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information. Salary Range $250,000—$300,000 USD About Us IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

About Wintermute  Wintermute is a technology unicorn and one of the largest algorithmic trading companies, specialising in digital assets. We provide liquidity across most cryptocurrency exchanges and trading platforms, a broad range of OTC trading solutions as well as supporting high profile blockchain projects and traditional financial institutions moving into crypto. Wintermute also has a Wintermute Ventures arm that invests in early stage DeFi projects. Wintermute was founded in 2017 and has successfully navigated industry cycles. Culturally, we combine the best of the two worlds: the technology standards of high-frequency trading firms in traditional markets and the innovative and entrepreneurial culture of technology startups. At Wintermute, we believe in the innovative potential of blockchain, the fundamental innovations, we have a long-term view on the digital asset market and are taking a leadership position in building an innovative and compliant market. You can read more here. Working at Wintermute You are an experienced machine learning engineer or researcher with a strong track record in applied deep learning, ideally in domains involving high-frequency or large-scale time-series data. You will focus on developing alpha signal generation pipelines from data ingestion and feature engineering to model training and deployment, in collaboration with our trading and infrastructure teams.