{"id":1145007,"url":"https://alion.io/job/jpmorganchase-fraud-strategy-quant-analytics-associate-i","title":"Fraud Strategy Quant Analytics Associate I","company":{"id":257,"name":"JPMorganChase","domain":"jpmorganchase.com","url":"https://alion.io/company/jpmorganchase","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":100,"open_postings":344,"ghost_share":0.003,"stale_share":0.009,"repost_share":0.015,"time_to_fill_p50_days":3,"computed_at":"2026-09-23T05:45:00Z"}},"role":"Finance","role_family":"Finance","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Wilmington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":60000,"max_usd":119000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":568},"experience_years_min":2,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-09-23T14:25:01Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-23T18:18:30Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Drive impactful fraud prevention as a Quantitative Analytics Associate on our Point of Sale Fraud team-where your advanced risk analyses and strategic insights help reduce fraud losses, protect customers, and influence key decisions across the organization.\nAs a Quantitative Analytics Associate in the Point of Sale Fraud team, you will manage fraud risk strategies in the Fraud Policy area and perform complex risk analyses with the objective of reducing fraud related losses while balancing customer impact. You will frequently interact and communicate with cross-functional partners and communicate and present presentations to managers and executives.\nJob Responsibilities:\nInterpret large amounts of complex data to formulate problem statement, concise conclusions regarding underlying risk dynamics, trends, and opportunities\nManage, develop, communicate, and implement optimal fraud strategies (including rules, cutoffs, policies, operational flows, etc.) to protect the bank from fraud related losses and improve customer experience at Point of Sale\nIdentify key risk indicators and metrics, develop key metrics, enhance reporting, and identify new areas of analytic focus to better capture fraud.\nProvide subject matter expertise on strategy implementation/testing and initiatives related to the improvement of risk mitigation processes and infrastructure\nCollaborate with cross-functional partners to understand and address key business challenges\nIdentify business opportunity by performing well thought analysis - Data mining, ensuring data integrity, synthesizing and communicating findings to senior management\nAssist team efforts in the critical development of new fraud pattern or spending pattern detection tools while providing clear/concise oral and written communication across various functions and levels, inclusive of Operations, IT, and Risk Management\nRequired Qualifications, Capabilities, and Skills:\nBachelor's degree (or related work experience) in a quantitative discipline in a financial services organization and 2 or more years’ experience in fraud/risk/payments or related field.\nAdvanced understanding of Python, SAS, and SQL.\nAbility to query large amounts of data and transform raw data into actionable management information.\nStrong analytical and problem-solving abilities.\nExperience delivering recommendations to management.\nSelf-starter with the ability to drive for resolution.\nStrong communication and interpersonal skills with the ability to interact with individuals across departments/functions and with senior-level executives.\nPreferred Qualifications, Capabilities, and Skills:\nMaster's degree (or related work experience) in a quantitative discipline, preferably in a financial services organization, plus 2 or more years’ experience in fraud/risk/payments or related field.\nExperience with Machine Learning technologies and knowledge of LLMs.\nThis role is not eligible for visa sponsorship now or in the future. Sponsorship includes, but is not limited to, support for I-983 training plans, F-1/OPT or CPT, H-1B, and any other employment authorization or immigration-related action requiring JPMorganChase sponsorship or intervention","description_format":"text","description_chars":3186,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Credit Cards","Wealth Management","Asset Management","Payments"],"lifecycle":[{"event":"open","at":"2026-09-23T14:31:07Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":3,"reasons":["conf:1","win:early","comp:junior,brand"],"computed_at":"2026-09-23T20:10:52Z"},"pay":null,"html_url":"https://alion.io/job/jpmorganchase-fraud-strategy-quant-analytics-associate-i","json_url":"https://alion.io/job/jpmorganchase-fraud-strategy-quant-analytics-associate-i.json","meta":{"generated_at":"2026-09-23T20:10:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}