{"id":202673,"url":"https://alion.io/job/worldquant-quantitative-execution-strategist","title":"Quantitative Execution Strategist","company":{"id":95429,"name":"WorldQuant","domain":"worldquant.com","url":"https://alion.io/company/world-quant","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":72,"open_postings":84,"ghost_share":0.381,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":176,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":54000,"max_usd":131000,"period":"year","method":"role_country_seniority_unknown","sample_n":97},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-03-23T21:18:01Z","employer_posted_date":"2026-05-04","last_verified_at":"2026-10-25T15:23:30Z","board_verified":true,"closed_at":null,"days_open":215,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":215},"description":"WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform.\nWorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.\nOur goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.\nThe Role: The Quantitative Execution team is seeking an Execution Researcher to further refine WorldQuant's execution capabilities across a variety of cash and derivative products to be based in Singapore.\nKey Responsibilities:\nAlgorithm Design & Implementation:\nDevelop detailed specifications for new and enhanced execution algorithms.\nImplement, test, and deploy robust quantitative trading strategies and tools, primarily using Python.\nTooling:\nBuild robust and reusable tools in Python to improve the overall team productivity.\nMarket Impact Modelling:\nResearch, develop, and refine sophisticated market impact models to seek to predict and minimize the cost of trading.\nLeverage large datasets and advanced statistical/machine learning techniques to improve model accuracy.\n Transaction Cost Analysis (TCA):\nConduct in-depth Transaction Cost Analysis (TCA) to evaluate the performance of execution strategies, identify drivers of transaction costs, and pinpoint opportunities for optimization.\nProvide actionable insights to portfolio managers and traders.\nCollaboration:\nWork closely with the QES Lead for APAC to align strategies with regional market nuances and business objectives.\nCollaborate with trading desks, technology teams, and other quantitative researchers to integrate solutions and drive innovation\nWhat You’ll Bring:\nPhD/Master’s in a quantitative field (CS, Mathematics, Statistics, Physics, Engineering, Quant Finance) from a top university, with 0-4 years’ experience in quantitative research and/or development for systematic or execution strategies.\nSolid Python programming skills (required), strong understanding of data structures and algorithms, and experience manipulating large-scale datasets using SQL; C/C++ is a strong differentiator.\nStrong expertise in regression models, time-series analysis, and applied machine learning, with exposure to deep learning and/or reinforcement learning, ideally in data-intensive, production-oriented environments.\nBy submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.\nCopyright © 2025 WorldQuant, LLC. 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