{"id":22410,"url":"https://alion.io/job/point72-cubist-data-scientist","title":"Cubist Data Scientist","company":{"id":3801,"name":"Point72","domain":"point72.com","url":"https://alion.io/company/point72","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":77,"open_postings":161,"ghost_share":0.298,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":138,"computed_at":"2026-11-03T05:54:40Z"}},"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":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":68000,"max_usd":167000,"period":"year","method":"role_country_seniority_unknown","sample_n":108},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2023-11-20T18:23:03Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-11-03T18:33:54Z","board_verified":true,"closed_at":null,"days_open":1079,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":1078},"description":"ROLE\nWe are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.\nCubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.\nAs a Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. \nRESPONSIBILITIES \nOnboarding novel datasets from a huge variety of sources into our platform\nDevelop, test and deploy data pipelines, applications and services\nRe-shaping, aggregating, enhancing and creating features from datasets\nEngaging with vendors and internal stakeholders to understand characteristics of datasets\nDefining and automating qualitative data alerts and reports\nPartnering closely with investment teams to ensure their data requirements are met\nPerform preliminary analysis and research to be shared with investment teams\nREQUIREMENTS \nMasters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis\nStrong programming skills in Python and SQL\nExperience working with AWS, Linux and Airflow preferred but not required\nFinancial industry experience preferred but not required\nStrong organization, communication and interpersonal skills\nAttention to detail and a love of processes\nStrong oral and written communication skills\nAbility to exercise sound judgment in assessing and determining how to handle queries, calls and issues\nAbility to multitask and prioritize assignments\nCommitment to the highest ethical 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