{"id":2854398,"url":"https://alion.io/job/wells-fargo-senior-quantitative-analytics-specialist","title":"Senior Quantitative Analytics Specialist","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":87,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":18,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":41000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Arize Phoenix","optional":false},{"name":"Google ADK","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-15T00:00:00Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-11-04T23:33:58Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":21},"description":"About this role:\nWells Fargo is seeking a Senior Quantitative Analytics Specialist for our DSAI(data science and Artificial intelligence) team.\nIn this role, you will:\nPerform highly complex activities related to creation, implementation, and documentation\nUse highly complex statistical theory to quantify, analyze and manage markets\nForecast losses and compute capital requirements providing insights, regarding a wide array of business initiatives\nUtilize structured securities and provide expertise on theory and mathematics behind the data\nManage market, credit, and operational risks to forecast losses and compute capital requirements\nParticipate in the discussion related to analytical strategies, modeling and forecasting methods\nIdentify structure to influence global assessments, inclusive of technical, audit and market perspectives\nCollaborate and consult with regulators, auditors and individuals that are technically oriented and have excellent communication skills\nRequired Qualifications:\n4+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education\nMaster's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science\nDesired Qualifications:\n4+ years of experience with Master’s Degree or equivalent in computer science, electrical engineering, data science, or another discipline with a strong quantitative core and extensive exposure to software engineering or scientific computing\nHands-on experience and deep knowledge in at least one of these areas: NLP and GenAI and/or Agentic models, with an exposure to model risk management policies and procedures preferably in financial domain.\nChange management skills and proven ability to conceptualize and communicate designs and plans;\nKnowledge of recent frameworks for Machine Learning, GenAI and Agentic pipelines.\nHands-on experience with LangGraph, LangChain, Google ADK, Agentic Performance evaluation pipelines like Arize a plus.\nDeep understanding of data modeling and relational databases. Advanced SQL, including analytical functions and recent additions to the SQL standard;\nSkill in managing relationships with key model stakeholders\nEagerness to contribute collaboratively on projects and discussions\nPerpetual interest in learning something new, but being comfortable with not knowing the all the answers\nIntellectually curious, with an attention to detail.\nGood verbal and written communication skills as well as interpersonal skills;\nAbility to prioritize work, meet deadlines, achieve goals, and work in a dynamic and complex environment; and\nAbility to develop partnerships and collaborate with other business and functional areas.\nJob expectations:\nWork at the intersection of technologies related to Data Science & AI/ML, Natural Language Processing and Generative AI including Agents and Skills and their application to Fraud model development and validation. The role requires strong statistical background and expertise in Quantitative Modeling. The responsibilities include, but are not limited to, the following:\nManaging model risk throughout the model lifecycle from model identification to model retirement through various tasks including risk ranking, model validation, change management and performance monitoring etc.\nDelivering high quality technical reports ensuring factual accuracy, conceptual alignment, critical assessment and compliance to all policies and procedures.\nHelping to develop and evaluate the architecture and foundational components of internal validation tools, developing fully operational prototypes, and deploying them in partnership with our Technology partners.\nProviding guidance to the broader MRM community on best model risk management practices by leading or contributing to efficiency, effectiveness and automation efforts.\nPosting End Date:\n28 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. 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