James Davis

Our client – a lean, intellectually rigorous investment firm – is seeking exceptional Senior Quant Researchers to join their systematic equities team. This is a rare opportunity to help drive alpha generation at a fast-moving, collaborative fund where deep research and innovative thinking are core to performance. 🔍 What You’ll Do:Develop and test novel mid-frequency equity strategies grounded in empirical researchGenerate original alpha signals using large datasets, systematic techniques, and market intuitionCollaborate with a small, high-performing team across research, engineering, and portfolio managementContribute to the full strategy lifecycle: hypothesis -> research -> implementation -> performance review🎓 Ideal Background:5–10 years’ experience in systematic equities, alpha research, or mid-frequency tradingStrong command of applied mathematics, statistics, or quantitative financeDemonstrated experience building and deploying alpha-generating strategiesDeep research mindset — you live for unsolved problemsTrack record of independent thinking and intellectual integrityAdvanced degree (PhD strongly preferred) from a top-tier institution (Harvard, MIT, Stanford, Oxford, Cambridge, etc.)🧠 Culture & Fit:You question assumptions. You challenge models. You don’t fool yourself.You thrive in lean, agile environments where your impact is tangibleYou prefer rigour over hype — and believe systematic thinking is a competitive edgeNo interest in crypto, hype cycles, or chasing trends — just alpha, pure and simple“The first principle is that you must not fool yourself — and you are the easiest person to fool.” – Feynman If that resonates, we should talk.

Manager, Data Science 🔍 Manager, Data Science | Financial Services | Remote Our client, a leading financial institution, is looking for a Manager, Data Science to join their team! This is an exciting opportunity to work with a high-impact data team that leverages AI, machine learning, and advanced analytics to drive strategic business decisions. 📌 What You’ll Do: ✅ Work with cross-functional teams to identify data-driven opportunities for growth. ✅ Mine, reconcile, and analyze large datasets to optimize products and marketing strategies. ✅ Build and implement predictive models to enhance customer experience and revenue generation. ✅ Develop custom data models & algorithms using Python, SQL, and cloud-based technologies. ✅ Apply machine learning techniques (clustering, decision trees, neural networks, NLP, etc.) 🎯 What We’re Looking For: 🔹 Strong problem-solving skills and passion for product development. 🔹 Proficiency in Python, SQL, and cloud-based ML platforms (Snowflake, AWS SageMaker, Azure AI). 🔹 Experience in machine learning, predictive modeling, and statistical techniques. 🔹 Financial services experience preferred. 🔹 Advanced degree (Statistics, Mathematics, Computer Science) preferred. 💰 Compensation: $120,000 - $150,000 USD + incentives 🌎 Location: Remote