{"id":3244165,"url":"https://alion.io/job/merqube-quantitative-associate","title":"Quantitative Associate","company":{"id":4157,"name":"MerQube","domain":"merqube.com","url":"https://alion.io/company/merqube","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"DevOps","role_family":"DevOps","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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11500,"max_usd":33000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":30},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-25T18:35:30Z","employer_posted_date":null,"last_verified_at":"2026-10-25T18:35:30Z","board_verified":false,"closed_at":null,"days_open":4,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":4},"description":"We are seeking a highly skilled and motivated Quantitative Associate (Financial Engineer) to join our team in Bangalore, India. Reporting to the Financial Engineering Manager, you will play a crucial role in modeling, creating, backtesting, and launching cutting-edge index strategies primarily focused on options.\n\nResponsibilities: \nDevelop, model, and backtest new index strategies using Python, with a focus on financial data management.\nCollaborate with the Financial Engineering team to create MerQube branded financial engines and indexing strategies for major financial institutions.\nInterface directly with clients and the platform engineering team, automating processes for daily and historical calculations to construct powerful financial engines.\nUtilize advanced programming skills, especially in Python, to implement distributed systems and adhere to general software engineering principles.\nWork with options data sets and applications such as FactSet and Reuters.\n\nRequirements: \nBachelor's degree in Computer Sciences or a quantitative field (Finance, Mathematics, Data Science, Economics, or Engineering) with equivalent work experience.\nProficiency in Python programming, with a focus on financial data management.\nStrong options knowledge, including pricing, greeks, and portfolio applications, is highly desirable.\nStrong interest in financial markets and the intersection of software and quantitative finance.\nExperience with financial data sets and applications (FactSet, Reuters, Morningstar, Bloomberg, Axioma, Barra).\nExcellent communication skills and the ability to collaborate effectively with both clients and internal teams.\nSkills\nAxioma, Bloomberg, FactSet, Morningstar, Python, Reuters, options","description_format":"text","description_chars":1728,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Online Brokerage 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