Bank of the West Sr Lead Advanced Analytics Analyst in San Ramon, California
Sr Lead Advanced Analytics Analyst
At Bank of the West, our people are having a positive impact on the world. We’re investing where we feel we can make the most impact, like advancing diversity and women entrepreneurship programs, financing for more small businesses, and promoting programs for sustainable energy. From our locations across the U.S., Bank of the West is taking action to help protect the planet, improve people’s lives, and strengthen communities. We are part of BNP Paribas, a global leader supporting the UN Sustainable Development Goals (SDGs). Yes, we’re a bank, but as the bank for a changing world, we are continually seeking to improve the ways we help our customers, while contributing to more sustainable and equitable growth.
Job Description Summary
Responsible for the development, testing, documentation, and implementation of a variety of statistical and econometrics models, including retail and wholesale scorecard, loss forecasting and stress testing, reserving, budgeting, account management, profitability, new loan originations and other strategic initiatives, and regulatory compliance. Will be involved in assessing available historical and risk factors (default, loss given default, exposure at default, profitability, etc.) and risk factor data to support requirements and model development. Collaborate with and lead business, risk personnel and model development team to deliver data and infrastructure required for regulatory compliance. Manage and analyze large, complex data sets using statistical tools and techniques. Document and validate business, data and functional requirements to support the development of certain models. The is the most senior technical professional in the Quantitative modeling job family and may lead or provide guidance to lesser experienced staff.
Essential Job Functions
Responsible for leading the development of statistical and econometrics models for various risk management activities, including (but not limited to): loss forecasting and stress testing of the Bank's portfolio of loans, reserving, budgeting, account management, profitability, new loan originations and other strategic initiatives, and regulatory compliance..
Responsible for development of statistical and econometrics predictive models for loss forecasting of the Bank's portfolio of loans (both wholesale and retail) and other accounts under management.
Ensure quantitative models and model-related artifacts are completed in a timely manner and appropriate documentation is in accordance with the Bank's latest model governance policies.
Follow proper model monitoring and back-testing processes, model change control procedures and versioning protocols.
Identify opportunities for future enhancements and model re-designs.
Collaborate with production analytics team to implement and test the models and to continuously enhance analytic infrastructure.
Ensure proper technical and regulatory compliance documentation is kept up-to-date and readily available.
Other Job Duties
Work effectively as a team member with other quantitative analysts at the company, as well as with external consultants.
Keep abreast with developments in quantitative risk management and industry best practices in model validation.
Work effectively either independently or as part of a team.
Manage time and resources in a dynamic multi-task environment.
Performs other duties as assigned.
Requires mastery level knowledge of job area typically obtained through advanced education combined with experience.
May have deep knowledge of project management.
Requires 10 years minimum prior relevant experience.
Bachelor's Degree quantitative field
Master's Degree Statistics, Economics, Math, Industrial Engineering or Operations Research
Extensive experience in data exploration, data mining, data transformation, statistical estimation algorithms, and model design required.
Advanced knowledge of SAS is preferred.
Working knowledge of a variety of modeling techniques such as multivariate regressions, panel data analysis, models with categorical response variables, survival/hazard modeling, time series and vector auto regression analysis.
Prior hands-on working experience with developing loan-level behavioral models on large data strongly preferred.
Familiarity and hands-on experience developing, testing, and monitoring of the advanced approaches used for forecasting losses at loan-level, such as competing risk hazard/survival and Markov-chain type transition approaches, are a big plus.
Demonstrated strengths in problem solving, planning and organizing and initiative.
Highly self-motivated, results oriented and capable of independent and critical thinking and problem solving.
Strong verbal and written communications skills.
Equal Employment Opportunity Policy
Bank of the West is an Equal Opportunity employer and proud to provide equal employment opportunity to all job seekers without regard to any status protected by applicable law. Bank of the West is also an Affirmative Action employer - Minority / Female / Disabled / Veteran.
Bank of the West will consider for employment qualified applicants with criminal histories pursuant to the San Francisco Fair Chance Ordinance subject to the requirements of all state and federal laws and regulations.
Job: Risk Management
Location: United States-California-San Ramon
Requisition ID: 056334