{"id":3239245,"url":"https://alion.io/job/early-warning-services-fraud-analytics-lead","title":"Fraud Analytics Lead","company":{"id":46312,"name":"Early Warning Services","domain":"earlywarning.com","url":"https://alion.io/company/earlywarning","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":11,"ghost_share":0,"stale_share":0.727,"repost_share":0.091,"time_to_fill_p50_days":29,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Analytics","role_family":"Analytics","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Scottsdale, United States","Chicago, United States","San Francisco, United States","New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":104000,"max":130000,"currency":"USD","period":"year","gross":null,"usd_annual":130000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-23T00:00:00Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-27T03:26:20Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"At Early Warning, we’ve powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle®, Paze®, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.\nEarly Warning follows a hybrid work model to allow for a more collaborative working environment.\nCandidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.\nOverall Purpose\nThis position will be accountable to execute processes aimed at identifying fraud methodologies, points of compromise, root cause evaluation and associated observed volumes, financial and operational impacts with associated recommended remediation paths. The role will create fact based insights, which will be used to inform and influence change across the organization and within the participating financial institutions. The position will also be accountable executing the ongoing management of a compromised credential discipline to source, link and control the risk from exposed data.\nEssential Functions\nExecute analysis for identifying and consistently categorizing the root cause of fraud events observed or attempted in the network.\nDevelop fraud analysis to quickly source, analyze and deduce root cause consistently and accurately across the network.\nBe able to effectively articulate and influence within the organization and those at the participating financial institutions on actions recommended, based on insights derived from advanced analytics.\nExecution of a discipline to identify exposed network credentials, social tokens and payment information; categorize the risk of the same and apply appropriate risk treatments to those data elements.\nSupport the company’s commitment to protect the integrity and confidentiality of systems and data.\nMinimum Qualifications\nEducation and/or experience typically obtained through completion of a Bachelor’s Degree.\nMinimum 5 or more years of progressive experience in advanced data analytical skills.\nMinimum 3 years of SAS/SQL/R/Python or comparable analytic coding experience.\nProven track record of converting concepts to analysis to cases for change\nExceptional written and verbal communication skills.\nExperience with digital banking, payments and/or payment networks.\nBackground and drug screen.\nPreferred Qualifications\nPost Graduate degree - Math / Statistics / Data Science / MBA.\nSAS/SQL/R/Python or comparable analytic coding certification.\nExperience with two or more financial institutions in the area of fraud risk management.\nExperience in both consumer and commercial banking applications.\nAdditional related education and/or experience preferred.\nThe above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform other related duties as assigned by their supervisor.\n Physical Requirements\nWorking conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling, and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers.\nEmployee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.\nThe base pay scale for this position in:\nPhoenix, AZ/ Chicago, IL in USD per year is: $104,000 - $130,000.\nNew York, NY/ San Francisco, CA in USD per year is: $125,000 - $156,000.\nAdditionally, candidates are eligible for a discretionary incentive plan and benefits.\nThis pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legitimate factors considered at the time of job offer. Early Warning Services takes into consideration a variety of factors when determining a competitive salary offer, including, but not limited to, the job scope, market rates and geographic location of a position, candidate’s education, experience, training, and specialized skills or certification(s) in relation to the job requirements and compared with internal equity (peers). The business actively supports and reviews wage equity to ensure that pay decisions are not based on gender, race, national origin, or any other protected classes.\nSome of the Ways We Prioritize Your Health and Happiness\nHealthcare Coverage - Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.\n\n401(k) Retirement Plan - Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.\n\nPaid Time Off - Flexible Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.\n\n12 weeks of Paid Parental Leave\n\nMaven Family Planning - provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.\n\nAnd SO much more! We continue to enhance our program, so be sure to check our Benefits page here for the latest. Our team can share more during the interview process!\nPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\nEarly Warning Services, LLC (“Early Warning”) considers for employment, hires, retains and promotes qualified candidates on the basis of ability, potential, and valid qualifications without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote equal employment opportunity and affirmative action, in accordance with all applicable federal, state, and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our employees.","description_format":"text","description_chars":6797,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible time off","Hybrid work","Parental leave","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Fraud Detection","Financial Services","Payment Processing & Gateways","RegTech, AML & Compliance"],"lifecycle":[{"event":"open","at":"2026-10-25T14:42:42Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 27 · green card filings: 21","filings_12m":27,"filings_prev_12m":57,"green_card_filings_12m":21,"median_offered_wage_usd":148125,"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":2}],"liveness":{"score":70,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.695,"p_room":1,"age_days":4,"expected_fill_days":29,"reasons":["conf:2","stale_co","urgency","velocity","win:early"],"computed_at":"2026-10-27T05:46:45Z"},"pay":{"stated_usd_annual":130000,"is_top_pay":false},"html_url":"https://alion.io/job/early-warning-services-fraud-analytics-lead","json_url":"https://alion.io/job/early-warning-services-fraud-analytics-lead.json","meta":{"generated_at":"2026-10-27T09:37:11Z","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":10780,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"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":46312},"rest":"https://alion.io/mcp/rest/get_company?id=46312"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fearly-warning-services-fraud-analytics-lead"},{"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%2Fearly-warning-services-fraud-analytics-lead"},{"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%2Fearly-warning-services-fraud-analytics-lead"},{"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/early-warning-services-fraud-analytics-lead\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fearly-warning-services-fraud-analytics-lead"}]}