{"id":2842359,"url":"https://alion.io/job/wells-fargo-lead-quantitative-analytics-specialist-python-sql-machine-learning-model-building-gen-ai","title":"Lead Quantitative Analytics Specialist - Python, SQL, Machine Learning Model Building, Gen AI","company":{"id":1977,"name":"Wells Fargo","domain":"wellsfargo.com","url":"https://alion.io/company/wells-fargo","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":3,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":2,"computed_at":"2026-10-19T05:45:15Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":54000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":587},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-19T09:37:22Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-19T16:33:16Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About this role:\nWells Fargo is seeking a Lead Quantitative Analytics Specialist who is passionate about using data and advanced analytics to solve complex business challenges. In this role, you will have the opportunity to deliver actionable insights that support informed decision-making and contribute to the Chief Operating Office’s focus on strong risk and controls, execution discipline, operational excellence, and customer centricity.\nIn this role, you will:\nLead the end-to-end development, implementation, validation, documentation, and ongoing monitoring of complex fraud risk models using advanced statistical and machine learning techniques\nDesign and deploy fraud detection models across card transactions, applications, checks, payments, and other fraud risk domains\nAnalyse large, complex structured and unstructured data sets, perform advanced feature engineering, and identify predictive variables that improve fraud detection and risk outcomes\nEvaluate complex and emerging fraud patterns using graph and network analytics, anomaly detection, ensemble modelling, and other advanced analytical methodologies\nAssess new data sources, modelling techniques, and technologies, and recommend solutions that strengthen fraud detection capabilities and support broader business objectives\nExercise independent judgment in addressing complex, multifaceted analytical challenges, evaluating model performance, and balancing fraud risk, customer impact, and operational considerations\nEnsure models comply with model governance, documentation, validation, regulatory, and risk management requirements throughout the model lifecycle\nPrepare comprehensive Model Development Documents and validation responses, and articulate and defend modelling assumptions, methodologies, limitations, and results during independent reviews\nPartner with Model Risk Management, Fraud Strategy, Operations, Product, and other stakeholders to resolve complex issues, align priorities, and translate analytical findings into actionable business recommendations\nLead multiple concurrent fraud analytics initiatives, establish model development and coding best practices, and provide technical direction and mentorship to less experienced data scientists and fraud analysts.\nRequired Qualifications:\n5+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education\nBachelor's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science\nExperience building, developing, or implementing machine learning models\nHands-on experience with Python and SQL for data analysis, quantitative modelling, or related applications\nExperience with Generative AI technologies and their application to analytical or business use cases\nDesired Qualifications:\nExperience applying advanced analytics or machine learning within fraud, financial crimes, risk, or related areas\nExperience developing analytical solutions using large-scale data and cloud environments\nFamiliarity with model deployment, MLOps, or model lifecycle practices\nPreferred Master’s degree in a quantitative or related field\nExperience in banking, financial services, or product-based technology\nAbility to turn complex analytical findings into clear, actionable insights\nExperience partnering across business, technology, risk, or model governance teams on complex initiatives\nJob Expectations:\nAbility to work a 1:30 PM to 10:30 PM IST shift, with flexibility based on business needs\nAbility to work in a hybrid work environment in accordance with business requirements\nPartner closely with Model Risk Management (MRM) teams throughout the model lifecycle\nCollaborate with Fraud Strategy, Operations, and Product teams to support analytical and business priorities\nEffectively communicate analytical insights and recommendations to technical and business stakeholders.\nPosting End Date:\n19 Oct 2026*Job posting may come down early due to volume of applicants.\nWe Value Equal Opportunity\nWells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.\nEmployees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.\nCandidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.\nApplicants with Disabilities\nTo request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.\nDrug and Alcohol Policy\nWells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.\nWells Fargo Recruitment and Hiring Requirements:\na. Third-Party recordings are prohibited unless authorized by Wells Fargo.\nb. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.","description_format":"text","description_chars":6118,"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":["Hybrid work"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Investment Banking & M&A Advisory","Mortgage Lending & Brokers"],"lifecycle":[{"event":"open","at":"2026-10-19T09:37:22Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":2,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-10-19T17:46:42Z"},"pay":null,"html_url":"https://alion.io/job/wells-fargo-lead-quantitative-analytics-specialist-python-sql-machine-learning-model-building-gen-ai","json_url":"https://alion.io/job/wells-fargo-lead-quantitative-analytics-specialist-python-sql-machine-learning-model-building-gen-ai.json","meta":{"generated_at":"2026-10-19T17:46:42Z","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":13557,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"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":1977},"rest":"https://alion.io/mcp/rest/get_company?id=1977"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fwells-fargo-lead-quantitative-analytics-specialist-python-sql-machine-learning-model-building-gen-ai"},{"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%2Fwells-fargo-lead-quantitative-analytics-specialist-python-sql-machine-learning-model-building-gen-ai"},{"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%2Fwells-fargo-lead-quantitative-analytics-specialist-python-sql-machine-learning-model-building-gen-ai"},{"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/wells-fargo-lead-quantitative-analytics-specialist-python-sql-machine-learning-model-building-gen-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwells-fargo-lead-quantitative-analytics-specialist-python-sql-machine-learning-model-building-gen-ai"}]}