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    Job · 13837667

    Wells Fargo logo

    Quantitative Analytics Specialist

    Wells Fargo · Hyderabad · onsite · Posted 57d ago

    Not disclosed2–4 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    About this role:

    Wells Fargo is seeking a Quantitative Analytics Specialist.


    In this role, you will:

    • Conduct model monitoring and performance analysis, including tracking model stability, predictive power, portfolio performance, and emerging risks investigate performance shifts and recommend remediation or model enhancements as needed.
    • Analyse model monitoring results and portfolio trends to identify key risk drivers, validate model assumptions, and support governance, audit, and regulatory requirements.
    • Perform highly complex activities related to financial products, business analysis and modeling
    • Perform basic statistical and mathematical models using Python, R, SAS, C++ and SQL
    • Perform analytical support and provide insights regarding a wide array of business initiatives
    • Provide solutions to business needs and analyze workflow processes to make recommendations for process improvement in risk management
    • Collaborate and consult with peers, colleagues, managers, and regulators to resolve issues and achieve goals


    Required Qualifications:

    • 2+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
    • Bachelor's degree or higher in statistics, mathematics, physics, engineering, computer science, economics, or quantitative discipline
    • Experience in Quantitative Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, education


    Desired Qualifications:

    • 2+ years of experience in credit risk analytics with exposure to statistical and machine learning model development or Model Monitoring.
    • Bachelor's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
    • Proficient in Python or R, SAS
    • Proficient in Tableau, Power BI, or any of business intelligence tools
    • Experience in producing high-quality technical documentation with tools such as Excel. Word, and PowerPoint
    • Excellent verbal and communication skills


    Job Expectations:

    • Strong Python programming skills with experience in complex data manipulation, analytics, and statistical model development.
    • Demonstrated analytical ability to interpret data and model outputs, generate insights, and support effective credit risk management.
    • Familiarity with U.S. credit bureau data and its application in credit risk modeling and decision-making.
    • Strong problem-solving skills with the ability to connect complex concepts, identify key drivers, develop solutions, and communicate findings clearly.
    • Understanding of credit risk model lifecycle activities, including model development, implementation, validation, monitoring, and governance.
    • Experience with statistical modeling techniques and predictive analytics methodologies.
    • Ability to manage multiple priorities and deliver high-quality work within challenging timelines.
    • Strong written and verbal communication skills, including the ability to review and develop detailed model documentation, presentations, and reporting materials.
    • Adaptability and the ability to thrive in a fast-paced, dynamic, and highly complex environment.

    Posting End Date:

    27 Aug 2026

    We Value Equal Opportunity

    Wells 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.

    Employees 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.

    Candidates 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.

    Applicants with Disabilities

    To request a medical accommodation during the application or interview process, visit.

    Drug and Alcohol Policy

    Wells Fargo maintains a drug free workplace. Please see our to learn more.

    Wells Fargo Recruitment and Hiring Requirements:

    a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

    b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

    Sourced from foundit

    Skills

    rPowerpointSASPythonPower BiTableauSQLWordexcel

    About Wells Fargo

    Wells Fargo logo

    Wells Fargo

    Financial Services

    20k+

    employees

    1852

    174 years old

    Bengaluru/Bangalore, Karnataka

    India

    About

    Wells Fargo works to create positive social impact in the communities it serves by supporting housing affordability, small business growth, financial health, and a low-carbon economy.

    Industries

    Financial Services

    Employee ratings

    8,681 reviews

    3.6/ 5

    Culture

    3.5

    Career growth

    2.9

    Work-life

    3.8

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