{"id":2312571,"url":"https://alion.io/job/schonfeld-quantitative-researcher","title":"Quantitative Researcher","company":{"id":688324,"name":"Schonfeld","domain":"schonfeld.com","url":"https://alion.io/company/schonfeld","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":29,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hong Kong","Singapore"],"countries":["HK","SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":71000,"max_usd":182000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2157},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-02-17T23:24:50Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-12T18:08:30Z","board_verified":true,"closed_at":null,"days_open":236,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":236},"description":"The Role\nWe are seeking a talented and motivated Quantitative Researcher to join our dynamic systematic trading team. The ideal candidate will have a strong background in software development, a passion for technology, and a keen interest in the financial industry. You will work closely with our quantitative PMs, developers, and fellow researchers to develop and maintain high-performance trading systems and tools.\nKey Responsibilities \n1. Engineer predictive features from high-frequency market data and unstructured alternative datasets for machine learning (ML) models. \n2. Develop research pipelines on a distributed compute cluster for tree-based models, deep learning, NLP/LLM, and related ML models. \n3. Design and prototype ML-driven alphas for cash equities, futures, and other liquid asset classes. \n4. Collaborate with researchers and developers to deploy signals into production, and perform iterative improvements based on real performance. \n5. Track academic and industry advances in machine learning and present actionable ideas to the team. \nRequired Skills & Qualifications\n1. MS or PhD in computer science, statistics, mathematics, or a related quantitative discipline from a top-tier university. \n2. Minimum 5 years of alpha-research experience at a leading buy-side firm or global bank. \n3. Expertise in tree-based models, deep learning, and NLP/LLM with strong understanding of probability and overfitting-control practices. \n4. Proficiency in python (and preferably C++ or similar), coupled with experience on distributed/hybrid compute environments. \n5. Excellent analytical, verbal, and written communication skills, with a proactive, ownership-driven mindset suited to the fast-paced trading floor.\nWho We Are \nSchonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.\nOur Culture\nAt Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas-at all levels-to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. 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