{"id":823285,"url":"https://alion.io/job/aquatic-quantitative-researcher","title":"Quantitative Researcher","company":{"id":669533,"name":"Aquatic","domain":"aquatic.com","url":"https://alion.io/company/aquatic-2","size_band":"51-200","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-24T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2024-07-09T21:03:25Z","employer_posted_date":"2026-04-30","last_verified_at":"2026-09-24T02:47:57Z","board_verified":true,"closed_at":null,"days_open":806,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":806},"description":"Aquatic was founded with a shared passion for tackling some of the most complex challenges in one of the world’s most competitive arenas-global financial markets. From the very beginning, we have been driven by a deep commitment to applying cutting-edge scientific research and technological innovation to deliver unparalleled performance. Our journey is one of continuous growth and exploration, marked by a spirit of curiosity and relentless drive for excellence. \nAquatic is looking for exceptional Quantitative Researchers to create and improve proprietary trading models and strategies while working closely with engineers and senior leaders across the firm. Quantitative Researchers within Aquatic work on a variety of trading strategies and research projects, with the opportunity to conduct independent research and originate research topics over time.\nSpecific responsibilities range from utilizing financial and other data in an effort to create or improve predictive models, developing and/or leveraging leading-edge statistical and machine-learning models to enhance the research and development system, creating algorithms to monetize the predictive signals.\nTechnical requirements:\nAt least 4+ years of full-time professional experience\nBachelors, Masters, PhD or Postdoc candidates in finance, computer science, mathematics, statistics, machine learning, physics, or other scientific discipline\nSolid mathematical and analytical ability; exceptional problem-solving and modeling ability\nDemonstrated ability to complete high level, statistical or applied mathematical research\nPrior experience in a quantitative role within a trading environment a plus\nExperience in solving highly complex, data intensive problems\nProgramming proficiency in any of the following: Python, C++, Java or R\nBehavioral requirements:\nStrong research hygiene\nSelf-motivated and highly-productive, with a strong sense of ownership and urgency\nIntellectually curious, creative, and rigorous\nExcellent communication and collaboration skills\nMeticulous attention to detail\nAble to work across disciplines\nWilling to take ownership of his/her work, working both independently and within a small team\nDriven and tenacious approach with desire to build something scratch\nThe base salary for this role is anticipated to be between $150,000 and $300,000, which is based on information at the time of posting. This position may also be eligible for additional forms of compensation, such as a discretionary bonus, and benefits. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their unique skills, qualifications and relevant experience.\nBenefits:\nBenefits: For full-time employees, fully paid medical, dental, and vision for employees and dependents, competitive 401k plan, employer-paid life & disability insurance \nPerks: Wellness programs, casual dress, snacks, lunch, game room, team and company events\nDevelopment: Open environment to maximize learning and knowledge sharing\nTime: Generous PTO, paid holidays, competitive paid caregiver leaves\nAquatic Capital\nThis role represents a unique opportunity to join a quantitative investment manager in its early stage of growth. The firm’s culture will be shaped by collaboration, meritocracy, ambition, and calm determination.\nAquatic is a proud equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.","description_format":"text","description_chars":3711,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Company events","Wellness"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-12T13:36:42Z"}],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.188,"p_room":0.28,"age_days":806,"expected_fill_days":42,"reasons":["conf:2","win:tail","crowd:"],"computed_at":"2026-09-24T05:45:00Z"},"pay":{"stated_usd_annual":300000,"is_top_pay":true},"html_url":"https://alion.io/job/aquatic-quantitative-researcher","json_url":"https://alion.io/job/aquatic-quantitative-researcher.json","meta":{"generated_at":"2026-09-24T06:03:15Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}