{"id":436167,"url":"https://alion.io/job/data-intellect-quant-developer","title":"Quant Developer","company":{"id":8089,"name":"Data Intellect","domain":"dataintellect.com","url":"https://alion.io/company/data-intellect","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"D","score":51,"open_postings":26,"ghost_share":0.731,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":76,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","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":null,"salary_estimate":{"min_usd":110000,"max_usd":238000,"period":"year","method":"role_country_seniority_unknown","sample_n":3718},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C#","optional":false},{"name":"C++","optional":false},{"name":"Java","optional":false},{"name":"KDB+","optional":false}],"status":"live","first_seen_at":"2026-09-04T16:07:46Z","employer_posted_date":"2026-09-04","last_verified_at":"2026-10-27T03:25:14Z","board_verified":true,"closed_at":null,"days_open":52,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":52},"description":"Join the world’s largest kdb+ Consultancy where you’ll work with some of the biggest names in Capital Markets and continue to elevate your expertise solving complex challenges in an environment built on collaboration, knowledge sharing and continuous learning.\n We are seeking an experienced Senior Quant Developer to join a growing Risk Technology team responsible for modernising and enhancing a critical risk management platform. The team is focused on expanding analytical capabilities, improving system stability and delivering sophisticated risk and portfolio analytics used across the business.\nThis is an excellent opportunity for a quantitative professional who enjoys developing practical analytical solutions to complex capital markets challenges while working closely with engineering teams to bring those solutions into production.\nKey Responsibilities\nDesign, develop, and implement quantitative models and analytics used within risk management and portfolio valuation systems.\nBuild sophisticated risk, hedging, and portfolio optimisation tools, including analytics related to position management, hedge effectiveness, and optimal hedge sizing.\nWork closely with Core Engineering teams to integrate quantitative models into scalable production platforms.\nContribute to the modernisation of the firm's risk technology architecture and analytical capabilities.\nTranslate business requirements into robust quantitative solutions.\nValidate and enhance existing risk methodologies, ensuring accuracy, performance, and practical applicability.\nSupport the evolution of risk metrics and portfolio analytics across multiple asset classes.\nCollaborate with stakeholders across Risk, Technology, and Front Office functions.\nThe successful candidate will be a senior quantitative professional who combines strong mathematical expertise with practical experience solving real-world capital markets problems. You will be comfortable working alongside software engineers, contributing quantitative insight while helping shape the next generation of risk technology capabilities.\nYou will have a track record of delivering impactful analytics in production environments and be able to quickly contribute to the ongoing transformation of a critical enterprise risk platform.\n Advanced degree (Master's or PhD preferred) in a quantitative discipline such as:Financial Mathematics\nQuantitative Finance\nMathematics\nStatistics\nPhysics\nEngineering\n\nStrong analytical and mathematical background with proven experience developing quantitative models.\nSignificant industry experience within capital markets, risk management, quantitative research or quantitative development.\nDeep understanding of risk analytics, portfolio valuation and hedging methodologies.\nAbility to design and build models independently from concept through implementation.\nStrong communication skills and ability to collaborate effectively with both quantitative and engineering teams.\nExperience delivering business value quickly within complex financial environments.\nTechnical Skills\nC# preferred.\nStrong Java or C++ candidates will also be considered.\nSufficient programming ability to implement and maintain quantitative models in production environments.\nExperience working with large-scale financial systems is advantageous.\n Why Join Data Intellect?\nHybrid & flexible working - balance your time between home and our global offices.\nGlobal opportunities - work with clients in London, New York, Hong Kong, Singapore, Toronto and beyond.\nContinuous learning - day one access to paid training, certifications and leadership development.\nClear progression pathways - biannual promotion cycles and monthly 1:1s to excel your career growth and development.\nHealthcare & wellbeing - provider dependent on region.\nFlexible, increasing holiday allowance - option to work bank holidays providing greater flexibility in holiday usage\nGenerous referral bonuses, exciting social events and so much more - we work hard and celebrate harder.\nData Intellect is a specialist data and technology consultancy with deep expertise in capital markets. We build high-performance systems that power trading, risk and analytics for some of the world’s most demanding clients. Our expertise spans kdb+, AI, data engineering, regulatory technology and enterprise platforms. We’re growing, fast!\nFair Employment & Equal Opportunities\nWe’re proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available throughout the assessment and selection process.\nChallenge Accepted. 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