{"id":1268509,"url":"https://alion.io/job/experian-senior-data-modeler-fraud-risk-detection","title":"Senior Data Modeler, Fraud Risk Detection","company":{"id":3558,"name":"Experian","domain":"experian.com","url":"https://alion.io/company/experian","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":20,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Finance","role_family":"Finance","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":82644,"max":143249,"currency":"USD","period":"year","gross":null,"usd_annual":143249},"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-25T20:52:15Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-18T14:41:19Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.\n Overview\nExperian's Fraud Analytics & Commercialization operates across four main functions. These include client engagement analytics, scalable and custom analytics for financial institutions, fraud analytics consulting, and solution integrity and enablement for production-ready platforms.\nWe're looking for a motivated Data Scientist to help build fraud detection models and features that identify high-risk activity while minimizing friction for legitimate customers. Core skills for this role include strategic thinking, an eagerness to collaborate, and empathy. You will will dig into surprising signals in the data and to learn how that insight becomes a deployed model.\nYou will help investigate the latest fraud patterns, build features, and train and evaluate machine learning models. You will work with senior data scientists and engineers starting with problem definition through feature engineering, experimentation, and deployment. You will be a developing programmer, ready to translate theoretical principles into production-ready solutions.\nWe continue to sharpen through research and the engineering that turns those findings into tools and systems built for commercialization.\nThis is a remote role and you will report into the Sr. Manager of Fraud Analytics.\nWhat you'll do\nExplore complex datasets, with guidance from senior team members, to identify fraud patterns, attack methods, and behavioral signals.\nWork with senior data scientists to translate fraud questions into testable hypotheses\nHelp build machine learning models for fraud detection across account opening, account takeover, and identity risk.\nEvaluate models using both technical and business metrics, such as precision, recall, fraud capture rate, false-positive rate, and customer friction.\nDevelop and validate features using identity, transactional, behavioral, and other available data sources.\nWrite clean, well-tested code, and work with engineering to bring models and features into production.\nPartner with the score monitoring team to help set up model and feature monitoring, and support research on related client questions.\nHelp prepare analyses and communicate findings to both technical and nontechnical audiences.\nApply Experian's standards for data privacy, model documentation, explainability, validation, and governance.\n 1+ years of experience in data science, machine learning, statistical modeling, or a related quantitative field\nBachelor's or advanced degree in computer science, statistics, mathematics, economics, engineering, data science, or another quantitative discipline\nFoundation in supervised learning, model evaluation, feature selection, statistical inference, and techniques such as classification and anomaly detection.\nProficiency in Python, with the ability to write clean, readable, and well-tested code.\nFamiliarity with common data science and machine-learning tools such as pandas, NumPy, and scikit-learn.\nInvestigative mindset and the ability to move from unusual data patterns to testable hypotheses.\nFamiliarity with PySpark, cloud platforms such as Amazon Web Services, Google Cloud, Azure, Databricks, and Snowflake, or other large-scale data tools.\nExposure to financial services, FinTech, payments, or another regulated or fraud-intensive industry, through coursework, internship, or prior work.\n#LI-Remote\n Benefits/Perks:\nGreat compensation package and bonus plan\nCore benefits including medical, dental, vision, and matching 401K\nFlexible work environment, ability to work remote, hybrid or in-office\nFlexible time off including volunteer time off, vacation, sick and 12-paid holidays\nExplore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html\nOur uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose-driven culture is multi award-winning. We have won World's Best Workplaces™ 2025 (Fortune Global Top 25), and Great Place To Work™ in 26 countries to name a few.\nExperian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @ experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process.\nOur compensation reflects the cost of labor across several U.S. geographic markets. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be eligible for a variable pay opportunity and a comprehensive benefits package.\nExperian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.","description_format":"text","description_chars":5286,"description_truncated":false,"requirements":{"experience_years_min":1,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["401k plan","Flexible schedule","Flexible time off"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Fraud Detection","Credit Bureaus & Rating Agencies"],"lifecycle":[{"event":"open","at":"2026-09-25T23:04:39Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 4 · green card filings: 2","filings_12m":4,"filings_prev_12m":9,"green_card_filings_12m":2,"median_offered_wage_usd":110833,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":44,"band":"fade","label":"Fading","p_open":1,"p_active":0.591,"p_room":0.75,"age_days":21,"expected_fill_days":27,"reasons":["conf:3","stale_co","velocity","win:late","comp:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":143249,"is_top_pay":true},"html_url":"https://alion.io/job/experian-senior-data-modeler-fraud-risk-detection","json_url":"https://alion.io/job/experian-senior-data-modeler-fraud-risk-detection.json","meta":{"generated_at":"2026-10-18T17:11:10Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":22438,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3558},"rest":"https://alion.io/mcp/rest/get_company?id=3558"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fexperian-senior-data-modeler-fraud-risk-detection"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fexperian-senior-data-modeler-fraud-risk-detection"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fexperian-senior-data-modeler-fraud-risk-detection"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/experian-senior-data-modeler-fraud-risk-detection\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fexperian-senior-data-modeler-fraud-risk-detection"}]}