HYDERABAD · FULLTIME
Quantitative Analytics Specialist
Wells Fargo
Hyderabad · onsite · Posted 57d ago
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Undisclosed2–7 yrsfulltimeHyderabad
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Section · 01
About this role
Job Summary
About this role: Wells Fargo is seeking a Quantitative Analytics Specialist.
Responsibilities - 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
- 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
- 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
- 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.
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Section · 02
Skills
Model Monitoringdata manipulationmathematicsFinancial CrimesBusiness AnalysisFinancial ProductsAnalyticscredit riskCommunication SkillscomplianceCustomer RelationshipsModel DevelopmentBusiness IntelligenceMachine Learning
Section · Company
About Wells Fargo
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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