Quantitative Researcher - Mid-Frequency job opportunity at Fasanara Capital.

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Date2026-02-16T11:26:37.553Z bot
Fasanara Capital Quantitative Researcher - Mid-Frequency
Experience: 7-years
Pattern: Full-time
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loacation London, United Kingdom
loacation London....United Kingdom
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Fasanara Digital was established 7 years ago and is the crypto arm of Fasanara Capital, a 14year-old boutique alternative asset manager. We are a Quantitative Investment fund applying a scientific approach to investing in crypto assets. Our goal is to achieve exceptional risk-adjusted returns. We pursue a range of diversified and highly sophisticated investment strategies that seek to profit from inefficiencies in the market structure and range from market making to cross-exchanges arbitrage. Our Culture We are strong believers in meritocracy, and we reward people based on impact and excellence. There is no bureaucracy of large organisations, the environment is collaborative, entrepreneurial, and is based on trust. We set ambitious goals, work hard, stress teamwork, and adhere to the highest level of excellence in everything we do. We are only as good as our team. Thus, we are building the firm around exceptional talent. Position Overview We are seeking a Mid-Frequency Quantitative Researcher to design, develop, and deploy systematic trading strategies in digital asset market as well as support the portfolio management activities for the multi-strategy book. You will own the end-to-end research lifecycle —from idea generation and signal construction to implementation, monitoring, and ongoing optimization—working closely with execution and infrastructure teams Responsibilities Research, develop, and validate high-quality quantitative trading signals for crypto markets. Lead the full strategy development lifecycle, from hypothesis generation to live deployment. Monitor live trading performance, risk exposures, and strategy robustness. Continuously refine and enhance existing models based on performance and market dynamics. Develop dashboards and analytics to support monitoring and analysis of the Mid-Frequency strategy portfolio. Maintain clear and concise documentation of research methodologies, results, and improvements. Communicate findings, risks, and strategy updates effectively to internal stakeholders. At least 2 years of experience in quantitative finance, trading, or a related field. Advanced degree in a quantitative discipline (Mathematics, Statistics, Physics, Engineering, Data Science or similar). Strong foundation in statistics and quantitative analysis. Hands-on experience in Python and SQL. Proven ability to work with large-scale, mid- or high-frequency time-series datasets. Proficiency in Linux-based environments; familiarity with production research workflows. Ability to manage multiple research streams in a fast-paced setting with strong attention to detail. Independent, self-driven mindset with strong collaboration skills. Market-focused perspective with strong problem-solving and communication abilities. Nice-to-Haves Demonstrated track record of developing and deploying successful systematic trading strategies. Solid understanding of crypto market structure and digital asset fundamentals. Experience integrating research outputs into live trading systems.

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