{"id":3475033,"url":"https://alion.io/job/coinflow-labs-fraud-data-scientist","title":"Fraud Data Scientist","company":{"id":4062,"name":"Coinflow Labs","domain":"coinflow.cash","url":"https://alion.io/company/coinflow-labs","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":86,"open_postings":14,"ghost_share":0,"stale_share":0.571,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":120000,"max":180000,"currency":"USD","period":"year","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-29T14:03:57Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-04T00:06:42Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About Coinflow\nCoinflow is the next-generation payment service provider revolutionizing global financial infrastructure with stablecoins, AI-driven fraud prevention, and instant settlement. Coinflow enables businesses to grow faster with instant settlement, fraud & chargeback indemnity, global pay-ins, multi-currency FX, and unified payouts. Founded in 2023, the company serves marketplaces, fintechs, remittance providers, gaming platforms, and ecommerce merchants worldwide.\nSince our seed round in 2024, we’ve achieved 23x revenue growth and scaled to multi-billion-dollar annual transaction volume. In response to this growth, Coinflow announced a $25M Series A in October 2025-led by Pantera Capital, CMT Digital, Coinbase Ventures, Jump Crypto, and Reciprocal Ventures-accelerating our mission to power the world’s fastest-moving businesses with innovative, reliable global payments.\nCoinflow is proudly headquartered in Chicago, IL. Learn more at coinflow.cash.\nAbout The Role\nWe're hiring a Fraud Data Scientist to be the analytical brain behind our fraud models. You'll dig into how our models and rules are performing, spot where fraud is shifting, and tell the team exactly which features, signals, and strategy changes will move the numbers.\nYou'll work on fraud across card, bank, and alternative payment rails, for merchants in gaming, marketplaces, remittance, and ecommerce, where fraud patterns shift weekly. You'll partner closely with the engineers who build and deploy our models, plus risk operations and compliance, turning data into decisions they can act on. You'll be hands-on with AI-native tooling as a force multiplier for analysis, feature exploration, and experimentation.\nWhat You'll Own\nModel Performance Analysis: Track how our fraud models and rules perform over time and by merchant segment. Dig into approval rates, fraud loss, false positives, and drift, and explain what changed and why.\nFraud Trend Analysis: Spot emerging patterns early, from fraud rings and account takeover to card testing, friendly fraud, and bonus abuse. Size the impact and get ahead of it before it shows up in chargebacks.\nFeature Recommendations: Explore transaction, device, behavioral, identity, and network data to find new signals. Prototype and validate features, then hand engineering a clear, evidence-backed case for what to add to the models.\nLabel Quality & Feedback Loops: Own the ground truth. Make sense of delayed and noisy labels from chargebacks, disputes, and manual review, and flag where bad labels are misleading the models.\nExperimentation & Evaluation: Design and analyze backtests, shadow tests, and champion/challenger experiments. Evaluate third-party fraud vendors against our own models on our data, and give a clear answer on what to trust.\nRules & Strategy: Partner with risk operations to tune thresholds, rules, and step-up authentication. Recommend decision strategies per merchant segment and quantify the tradeoff between loss and approvals.\nReporting & Explainability: Turn analysis into clear reporting for leadership, merchants, banks, and auditors: what drives model decisions, how performance is trending, and what we're doing about it.\nWhat We're Looking For\n4+ years as a data scientist or analyst working on fraud, risk, or abuse, ideally at a payments company, fintech, or marketplace\n\nYou've used analysis to measurably improve production fraud models or rules: new features, better thresholds, lower loss, higher approvals\n\nStrong SQL and Python. Fluent with the stats and ML concepts behind fraud models (gradient-boosted trees, calibration, imbalanced data) even if you're not the one deploying them\n\nSolid grasp of the fraud problem space: card-not-present fraud, account takeover, card testing, friendly fraud, chargeback reason codes, and how fraudsters adapt\n\nComfort with messy, imbalanced, delayed-label data and the judgment to evaluate model performance honestly on it\n\nExperience designing and analyzing experiments where a false positive and a false negative cost very different amounts\n\nA strong feature intuition: you can look at a fraud pattern and propose the signal that would have caught it\n\nAbility to explain model behavior and tradeoffs to merchants, risk ops, banks, and auditors in plain language\n\nFamiliarity with graph or network analysis for detecting linked accounts and fraud rings is a plus\n\nComfort working with AI-native tooling as a daily driver, or genuine excitement to start\n\nA bias toward action. We'd rather have a clear recommendation this week than a perfect analysis next quarter\n\nThe base salary range for this role is $120,000 - $180,000 USD + equity. The actual base salary offered depends on a variety of factors, including but not limited to experience, education, skills, qualifications, and business needs.\nJoin the team rewriting how money moves worldwide-and become a driving force in the $194 trillion cross-border payments market.","description_format":"text","description_chars":4943,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Payment Processing & Gateways","Crypto Payments","Stablecoins"],"lifecycle":[{"event":"open","at":"2026-10-29T18:31:41Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":202500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":4,"expected_fill_days":29,"reasons":["conf:1","stale_co","velocity","win:early"],"computed_at":"2026-11-03T05:54:40Z"},"pay":{"stated_usd_annual":180000,"is_top_pay":true},"html_url":"https://alion.io/job/coinflow-labs-fraud-data-scientist","json_url":"https://alion.io/job/coinflow-labs-fraud-data-scientist.json","meta":{"generated_at":"2026-11-04T01:40:04Z","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":2519,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"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":4062},"rest":"https://alion.io/mcp/rest/get_company?id=4062"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcoinflow-labs-fraud-data-scientist"},{"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%2Fcoinflow-labs-fraud-data-scientist"},{"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%2Fcoinflow-labs-fraud-data-scientist"},{"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/coinflow-labs-fraud-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcoinflow-labs-fraud-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3475033}},{"tool":"search_jobs","arguments":{"company":"coinflow.cash","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3475033},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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