Investment Quant Developer - Prestigious Hedge Fund - Top Compensation Benefits

My client, a prestigious US credit fund who are rapidly expanding their presence across Europe, are seeking an entrepreneurial and technically skilled candidate with a strong foundation in Machine Learning (ML) and Artificial Intelligence (AI) to join their newly established strategist function team. In this role, a successful candidate will play a pivotal role in the teams success by leveraging their technical skills to code data sets, extract actionable insights, and enhance various Portfolio Managers trading strategies. Your primary goal will be to uncover opportunities to optimise strategies and ultimately drive profit generation. This function will operate as a distinct entity within the larger organisation, meaning the team will operate with a high degree of autonomy, and there will be ample room for innovative thinking and independent problem-solving. A core responsibility will be to filter and assess the ideas generated by PMs, evaluating which concepts are viable and worth pursuing based on data-driven analysis and feasibility. Requirements: Strong programming skills in Python, Excel, VBA 1-3 years of experience on desk developing tooling for portfolio managers Experience with SQL, database design, and large datasets Willing to take ownership of his/her work, working both independently and within a small team Commitment to the highest ethical standards Masters in Artificial Intelligence or Machine Learning You can expect: Market-leading compensation with a strong increase on any current base. A very attractive bonus structure on top of this. Core responsibility from day one as well as the opportunity for quick progression into a senior leadership seat. Contact industry experts within the financial markets, including seminars and talks. Access to the latest development tools, high-spec workstations, and cutting-edge technology. A heavily protected positive and supportive work environment. To apply, either respond to this advert or send your CV directly to sasha.duquesnemondrian-alpha.com.