Date ActiveJul 29, 2020 12:00:00 AM
Hours Per Week40
Location145 Bank Street-NH501
Job Description/ Requirements
If you're looking for a meaningful career, you'll find it here at Webster. Founded in 1935 by Harold Webster Smith, our focus has always been to put people first--doing whatever we can to help individuals, families and businesses achieve their financial goals. And while we've grown into a leading commercial bank, we remain passionate about serving our customers, supporting our communities, and making a difference in people's lives. We can make a difference in your life, too. By empowering you to build the meaningful career you've been looking for.
Responsibility, respect, trust, teamwork and citizenship are the values Webster was founded on. Together we call them The Webster Way, and they are what sets us apart as a bank and an employer. Guided by these values, we put people first. Working hard to live up to our customers, and each other, every day.
The role resides within the FP&A sector of the CFO Group. FP&A supports the CFO and senior leadership in fulfilling their oversight roles by independently assessing the bank's performance and opportunity vs risk profile. The FP&A team leads the bank's review and forecast of financial performance, reserving, stress-testing, annual budgeting process, operating plan variance analysis, profitability analysis, new business opportunities and special projects. Within FP&A, the Finance Analytics Solutions Team (FAST) designs, develops runs, maintains and manages all analytical aspects of reserving & stress-testing models, strategies & solutions.
The role involves gathering and understanding business requirements, model purpose and use; applying sophisticated statistical analysis to large data sets to satisfy business requirements; designing coding and maintaining new and existing models; anticipating and resolving challenges to model design & use; participating in model documentation and validation; and clearly communicating results. The scope of the role includes internally developed consumer and commercial credit models used for CECL/loss-reserving, DFAST/stress-testing, and FP&A models used for planning and profitability analysis. The primary job function is to collaborate with Finance, Risk, Treasury, IT and LoB partners in developing source code implementing predictive analytical models to forecast losses & profitability, and increase revenue.
? Develop, implement, maintain and run credit loss models to support the Bank's loss-reserving/CECL and stress-testing/DFAST internal reporting and regulatory filings.
? Develop, implement, maintain and run FP&A models for predicting business trends and providing analyses that drive business decisions and business planning.
? Develop expert knowledge and experience with Webster's data systems and tools.
? Maintain rigorous work papers during the model development process. Author reports documenting the design, development, testing and use of new models, and changes to existing models.
? Develop strong relationships with Webster lines of business, Finance, Treasury, Risk & IT partners, ensuring support requirements are met.
? Participate in the Model Risk Management change control process.
Required Skills & Experience
? Professional experience including a minimum of 1-3 years of modeling/analytical within a commercial bank or financial institution.
? Solid knowledge of statistical theory, in particular general linear models, categorical data analysis, and time-series estimation.
? Expert knowledge and skills in statistical programming languages: SAS, Matlab, Python, R. Ability to apply methods to real-world problems.
? Experience working with complex data structures within a RDMS (Oracle, SQL).
? Strong ability with standard office tools such as Excel/VBA, PowerPoint, and Word.
? Some business knowledge and familiarity with consumer/small business/commercial banking products, operations and processes.
? Ingenuity, analytical thinking, resourceful, persistent, pragmatic, motivated and socially intelligent.
? Time management skills are needed to prioritize multiple tasks.
Preferred Skills & Experience
? Model development or validation experience with CECL/loss-reserving and/or DFAST/stress-testing.
? Significant skill & experience with financial risk modeling within a financial institution.
? Experience with common bank systems such as Moody's Data Buffet, SNL, and Bloomberg.
? Experience in developing constructive relationships with a wide range of different stakeholders.
? Good communication skills (both verbal and written) and ability to multitask.
? Ability to independently gather data from various sources and conduct research.
? Ability to think "out of the box" and provide suggestions on ways to improve the process.
? Bachelors or Masters' degree in econometrics, statistics, data analytics or other STEM fields (e.g. physics, math, engineering, etc.) Finance or Business MS/MBA with strong quantitative and programming background also acceptable.