{"id":955237,"url":"https://alion.io/job/dv-trading-quantitative-researcher-experienced-dv-equities","title":"Quantitative Researcher - Experienced (DV QES)","company":{"id":716060,"name":"DV Trading","domain":"dvtrading.co","url":"https://alion.io/company/dv-trading","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":91,"open_postings":71,"ghost_share":0.07,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":89,"computed_at":"2026-11-15T07:52:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hong Kong"],"countries":["HK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LightGBM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"Time Series","optional":false},{"name":"XGBoost","optional":false},{"name":"C++","optional":true}],"status":"live","first_seen_at":"2026-09-16T03:40:28Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-11-15T04:58:21Z","board_verified":true,"closed_at":null,"days_open":60,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":59},"description":"About Us:\nFounded two decades ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people across North America, Europe and Asia. Since becoming an independent proprietary trading firm in 2016, DV Trading has scaled rapidly using its own capital, strategies and risk management to provide liquidity to markets worldwide. DV Group affiliates today include two broker-dealers, a cryptocurrency market maker and a growing investment adviser.\nDV Equities is the group's Asia-Pacific equities and futures market-making business, trading cash equities, ETFs, index futures and related products on exchanges across the region.\nOverview:\nWe are looking for an experienced Quantitative Researcher to join our equities team. This role is open to candidates with hands-on experience in multi-frequency signal research across different time horizons. You will work closely with senior researchers and traders across our global offices (NYC, London, and Hong Kong) to explore market data, develop predictive signals, and build models that directly inform real trading decisions.\nThis is a full-cycle research role-from data exploration to production deployment, from model development to live performance monitoring-with end-to-end ownership of the research process.\nResponsibilities:\nAnalyze market data to uncover patterns, inefficiencies, and predictive signals across different time horizons\nBuild and backtest quantitative models using historical market data\nApply statistical and machine learning techniques-with an emphasis on tree-based methods-to enhance signal quality\nCollaborate with researchers and traders to translate research insights into production-ready strategies\nDevelop and maintain data pipelines for large-scale, high-frequency, and time-series market data\nContinuously monitor and iterate on live signals and models based on performance\nRequirements:\n2+ years of professional or research experience in high-frequency research and/or longer-term signal generation\nDegree in a quantitative field (Mathematics, Statistics, Computer Science, Physics, Engineering, Financial Engineering, or related)\nStrong proficiency in Python, including standard data science libraries (pandas, NumPy, etc.)\nGenuine curiosity about financial markets and market microstructure\nSolid foundation in statistics and quantitative analysis\nStrong problem-solving skills and intellectual curiosity\nAbility to communicate technical findings clearly to both technical and non-technical audiences\nFamiliarity with tree-based methods (e.g., Random Forest, XGBoost, LightGBM) is a plus\nExperience in a proprietary trading or hedge fund environment is a plus\nExperience with C++ or other low-level languages is a plus\nDVis not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DVshould submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DVvia e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. 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