Lead Quantitative Analytics Specialist
Wells Fargo
5 - 10 years
Bengaluru
Posted: 16/01/2025
Job Description
About this role:
Wells Fargo is seeking a Lead Quantitative Analytics Specialist.
In this role, you will:
Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly statistical theory
Qualify monitor markets and forecast credit and operational risks
Strategize short and long-term objectives, and provide analytical support for a wide array of business initiatives
Utilize stochastic, structured securities, spread analysis, with the expertise in the theory and mathematics behind the analysis
Review and assess models inclusive of technical, audit, and market perspectives
Identify structure and scope of review
Enable decision making for product and marketing with broad impact and act as key participant to develop and document analytical models
Collaborate and consult with regulators and auditors
Present results of analysis and strategies
Required Qualifications:
- 5+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Degree in applied mathematics, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis.
Strong Quantitative Skills:
5+ years of Predictive modeling experience. Good understanding of model development and model testing.
Proficient in statistical analysis
Good Problem Solving and Analytical Skills
Programming Skills
2+ years of hands-on experience in Python and SQL
5+ years of advanced programming and debugging skills in Python – OOP, packaging, build and deployment, data structures and algorithms, decorators, logging, exception handling
2+ years of experience in High performance computing, Big Data and real time solutions – PySpark, MapR streaming, parallel processing, real time optimization.
2+ years of experience in unit testing, UAT testing, regression testing and code review
Comfortable with Git, GitHub, CI/CD pipelines and UNIX commands
1+ years of experience in SAS
Good Written and Oral 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 determining root cause analysis
Desired Qualifications:
Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment
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
Exposure to banking domain with strong functional knowledge in Credit Risk area on Retail/Commercial portfolio
Ability to identify and manage complex issues and negotiate solutions within a geographically dispersed organization
Ability to research and report on a variety of issues using problem solving skills
Ability to interact with integrity and a high level of professionalism with all levels of team members and management
Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment
Job Expectations:
Provide engineering and analytical solutions across model development, implementation, monitoring and production in a Big Data environment
Support implementation of Python based solutions for real time and/or batch-based models for commercial banking
Identify opportunities and deliver process improvements, standardization, rationalization and automations
Migration of existing development/implementation codes from SAS to Python with thorough testing and UAT
Development of regulatory Credit risk (including CCAR, CECL and IFRS), RRP Valuation, and PPNR models for Commercial portfolio in SAS/Python.
Lead complex model development projects independently and support multiple priorities
Perform various complex activities related to predictive modeling process enhancements and Python conversions
Work closely with team to understand and enhance the data and modeling process behind existing models, develop new models, address data and model issues/findings.
Underlying portfolio data research and analytics using strong programming skills
Adhere to audit and model validation governance to ensure data and modeling process are in compliance with policy and are working as intended, address model validation and regulatory feedback issues
Support ad-hoc analytic projects
Posting End Date:
15 Jan 2025*Job posting may come down early due to volume of applicants.
We Value Diversity
At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.
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 US: 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.
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 Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy 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.
About Company
Wells Fargo is a multinational financial services company, offering a range of banking, investment, mortgage, and consumer finance services. The company is committed to helping individuals, businesses, and communities succeed financially, with a strong focus on digital banking and innovation.
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