Lead Quantitative Model Solutions Specialist(Gen AI)
Wells Fargo · Bengaluru · onsite · Posted 51d ago
Undisclosed4–9 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Job Summary
Wells Fargo is seeking a Lead Quantitative Model Solutions Specialist for the Retail portfolios.
Responsibilities - Lead complex, large-scale model maintenance, optimization, and planning initiatives related to operational processes, controls, reporting, testing, implementation, and documentation
- Review and analyze complex multi-faceted model operations and optimization challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors
- Develop model processes and optimization strategies for short- and long-term objectives; support and provide insights regarding a wide array of business initiatives
- Make decisions in complex and multi-faceted situations requiring solid understanding of agile development
- Influence global assessment of model maintenance schedules inclusive of engineering, structure, and scope of review following the System Development Life Cycle process, quality, security, and compliance requirements
- Strategically collaborate and consult with peers, colleagues, and managers to resolve issues and achieve goals
- 5+ years of quantitative model solutions or quantitative model operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Bachelors degree from a premier institute or Masters/PhD degree in quantitative fields such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences
- 5+ years of experience in credit risk analytics or credit risk modeling/monitoring/implementation roles
- Advanced programming skills in Python, SAS and SQL
- Good exposure to business intelligence tools such as Tableau/PowerBI for dashboarding
- Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
- Excellent verbal, written, and interpersonal communication skills
- Strong ability to develop partnerships and collaborate with other business and functional areas
- Knowledge and understanding of issues or change management processes
- Experience in regulatory models for CCAR Stress testing, CECL, IFRRP, and Basel
- Strong understanding of Retail business (Home Lending, Auto, Cards, Personal Loans)
- Comprehensive view of the regulatory requirements
- Ability to systematically probe, research, identify and analyze business problems using problem solving skills
- Ability to lead high performing advanced quantitative analytics teams and stakeholder management
- Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities
- Understanding of bank regulatory data sets and other industry data sources
- Flexibility with changing priorities
- Knowledge of SR 15-18 and SR 11-7 guidelines
- Provide analytical expertise in Credit Risk model monitoring, implementation, and execution for Retail portfolios, with primary responsibility for technical tasks and deliverables.
- Collaborate with stakeholders across multiple engagements to support team objectives and ensure successful project outcomes.
- Play a key role in projects related to implementation, execution, and monitoring of CECL, IFBasel, and CCAR stress testing models for Retail portfolios.
- Lead and perform complex activities related to predictive modeling; deliver analytical support for developing, evaluating, implementing, monitoring, and executing credit and PPNR models across retail business verticals.
- Design and develop dynamic dashboards; analyze key risk parameters to interpret trends and assess business and model performance.
- Take initiative in identifying opportunities for process improvement, standardization, automation, and infrastructure enhancement; contribute to the design and delivery of solutions to optimize performance analysis, reporting, and business loss forecasting processes.
- Participate in developing documentation frameworks focused on standardization of controls and best practices for model development, implementation, and monitoring.
- Communicate findings, insights, and recommendations for action to management and business partners; contribute to discussions on strategy, policies, and procedures regarding model development, validation, and execution.
- Serve as a subject matter expert in predictive analytics and credit risk modeling, providing guidance and consultation on model development, implementation, model performance analysis, and execution.
- Demonstrate advanced project management, coding, and data analysis skills to ensure timely and high-quality execution of team deliverables.
Sourced from naukri
Skills
AutomationAgileagile developmentEconometricsCCARChange ManagementDashboardingAnalyticsApplied Mathematicscredit riskCommunication Skillsdata analysiscomplianceCustomer RelationshipsfinanceBusiness IntelligenceArtificial Intelligence
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
Employees rate it well for
Work Life Balance1417Work Culture906Senior Management755Salary707Job Security510
Find them on