{"id":3210047,"url":"https://alion.io/job/millennium-management-quantitative-developer-4","title":"Quantitative Developer","company":{"id":704283,"name":"Millennium Management","domain":"mlp.com","url":"https://alion.io/company/millennium-management","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"A","score":85,"open_postings":63,"ghost_share":0,"stale_share":0.413,"repost_share":0,"time_to_fill_p50_days":88,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":165000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C#","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"Java","optional":false},{"name":"Linux","optional":false},{"name":"MS SQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2025-10-27T00:00:00Z","employer_posted_date":"2025-10-27","last_verified_at":"2026-10-28T14:28:00Z","board_verified":true,"closed_at":null,"days_open":366,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":366},"description":"Quantitative DeveloperWe are building a world class systematic data platform which will power the next generation of our systematic portfolio engines.\nThe systematic data group is looking for Quant Developer to join our growing team. The team consists of content specialists, data scientists, engineers and quant developers who are responsible for discovering, maintaining and analyzing sources of alpha for our portfolio managers.\nThis is an opportunity for individuals who are passionate about quantitative investing. The role builds on individual’s knowledge and skills in four key areas of quantitative investing: data, statistics, technology and financial markets.\nPrincipal Responsibilities\nUse finance knowledge and statistical knowledge to analyze potential alpha sources. Present to portfolio managers and quantitative analysts\n\nBuild quant tools to help portfolio managers to research, evaluate, combine alphas, and understand risks\n\nDesign and maintain tools to evaluate and monitor data quality and integrity for a wide variety of data sources\n\nEngage with vendors, brokers and perform analytics to understand characteristics of datasets\n\nInteract with portfolio managers and quantitative analysts to understand their use cases and recommend datasets to help maximize their profitability\n\nSkills Required\n3+ years of work experience as a financial engineer, data scientist, or quant developer\n\nStrong knowledge of Python and or C++, Java, C#\n\nFamiliarity with data pipeline engineering, ETL for large datasets, and scheduling tools like Airflow\n\nStrong SQL and database experience including PL-SQL or T-SQL\n\nUnderstanding of typical software development lifecycle and familiarity with: Linux, GitHub, CI/CD\n\nPh.D. or Masters in computer science, mathematics, statistics or other field requiring quantitative analysis\n\nBeneficial Skills and Experience\nUnderstanding of risk models and performance attribution\n\nExperience with financial markets such as equities and futures\n\nKnowledge of statistical techniques and their usage\n\nThe estimated base salary range for this position is $165,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. 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