Statistical Arbitrage Quantitative Researcher (Closing Auctions) Locations: London The Firm: A prestigious multi-strategy hedge fund, managing assets of approximately $5 billion, is on the lookout for a top-tier Closing Auctions Quant Researcher.
Our client is globally recognized for their world class technology, enabling fast execution and a suite of strategies that consistently deliver outstanding returns in various asset classes.
The Culture: The firm's culture is rooted in meritocracy, consistently attracting and retaining the top quants and portfolio managers in the industry.
They foster intellectual curiosity, a collaborative ethos, and an unwavering dedication to excellence.
The office environment encourages open discussions about the dynamic, fast-paced financial landscape, promoting the free flow of pertinent information, converting innovative ideas into tangible, effective trading strategies.
The Role: We are actively seeking a Quant Researcher with specialization in trading strategies for end-of-day closing auctions.
As a pivotal member of a high-performing statistical arbitrage trading pod, you will leverage your exemplary quantitative expertise to develop, refine, and execute trading models that are both inventive and yield high returns.
Key Responsibilities: Develop and implement sophisticated trading strategies tailored for the end-of-day closing auctions across various markets.
Optimize strategies for executing large orders in closing auctions, minimizing market impact, and capitalizing on predictable price movements.
Work closely with portfolio managers to integrate and adapt strategies based on market microstructure insights into the broader portfolio.
Continuously analyze market conditions, particularly during closing auctions, to fine-tune algorithms and strategies for optimal performance.
Stay abreast of academic research and industry developments to ensure cutting-edge approaches and methodologies in auction-based trading.
Requirements: Preferably a Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Computational Finance.
Proven track record in quantitative research, specifically in closing auctions trading, within a dynamic multi-strategy hedge fund environment or prop trading desk Proficiency in programming languages like Python, R, or C++, with experience in data analysis and algorithmic development.
Experience in developing and implementing trading strategies for end-of-day closing auctions, with a demonstrated ability to handle large data sets and apply Machine Learning techniques effectively.
Exceptional analytical and problem-solving skills, with a strong emphasis on data-driven decision-making.
High ethical standards, upholding the firm's integrity and reputation in all aspects of the role.
At Onyx Alpha Partners, we are committed to connecting the most sought after talent in the financial world, to opportunities that expand the universe of unconstrained performance within their chosen discipline.
If this opportunity aligns with your career aspirations, we encourage you to apply and explore the potential for growth and unparalleled success.