Southeast Managing Partners
Managing Director (Financial Analytics) Webster Bank
Southeast Managing Partners, Waterbury, Connecticut, us, 06720
Job Highlights
TitleManaging Director (Financial Analytics)
TypeFull Time
Experience5-10 Years
FunctionFinancing
LocationWaterbury, CT, United States
CompanyWebster Bank
Company Profile
Webster Bank
(a subsidiary of Webster Financial Corporation) is a leading commercial bank that delivers financial solutions to businesses, individuals, families, and partners. It offers digital and traditional services
Job Profile
The bank is looking for a
Managing Director ( Financial Analytics )
who will
gather and understand FP&A business requirements ; lead a team of analysts; organize and lead inter-departmental meetings; leverage Webster’s data systems and tools; design code and maintain data workflows; anticipate and resolve data challenges; create user-friendly reports and dashboards; and communicate results.
Collaborate with IT, Data Governance Team, Credit Risk, Finance, Model Risk Management, Auditors, Off-shore consultants, vendors, and LoB partners throughout the Bank. The scope includes working across one or more of our main subject areas: R&D, Quarterly CECL Production, and Dual Risk Rating Underwriting models.
Education Level
Doctorate or Master’s Degree in Econometrics, Statistics, Data Analytics, Computer Science, or other STEM fields
(e.g., physics, math, engineering, etc.) Finance or Business MS/MBA with a strong quantitative and programming background is also acceptable.
Work Experience
5-10 years of modeling/analytical experience
within a commercial bank or financial institution.
Duties/Responsibilities
Develop expert knowledge and experience with Webster’s data systems and tools.
Develop strong relationships with Webster lines of business, Finance, Risk & IT partners, ensuring software development and support requirements are met.
Lead or participate in Model Risk Management, Executive Management, Audit, Regulatory, and inter-departmental strategic and tactical planning and progress meetings.
Maintain rigorous work papers during the model development process. The author reports documenting the design, development, testing, and use of new models and changes to existing models.
Personally participate in the development, coding, implementation, and maintenance of models.
Research, dimension, and manage the scope, nature, business implications, workflow, calendar, data, personnel, and time requirements for the development, implementation, and maintenance of credit loss underwriting models to support the bank’s stress-testing, regulatory reserving, and underwriting.
Skills/Knowledge/Abilities
Expert knowledge and skills in statistical programming (SAS, SQL, Python, R). Experience working with complex data structures. Ability to apply methods to real-world problems.
Good business knowledge and familiarity with commercial and consumer banking products, operations, and processes.
Ingenuity, analytical thinking, resourceful, persistent, pragmatic, motivated, and socially intelligent.
Solid knowledge of statistical theory, in particular general linear models, categorical data analysis, time-series estimation, algorithmic optimization, supervised and unsupervised machine learning.
Strong ability with standard office software such as Excel/VBA, PowerPoint, Tableaux, and Word.
Time management skills are needed to prioritize multiple tasks.
Preferred Qualifications
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.
Experience in designing efficient and robust data workflows.
Experience in developing constructive relationships with a wide range of different stakeholders.
Experience managing a team of high-performing Data Scientists or Quantitative Analysts.
Experience with one or more cloud-based computing platforms: AWS, Azure, GCP.
Good written and verbal communication skills, and ability to multitask.
Model development or validation experience with Credit Risk Underwriting models/scorecards.
Model development or validation experience with stress-testing/DFAST or CCAR/CECL
Employer’s Statement
Webster is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, marital status, national origin, ancestry, citizenship, sex, sexual orientation, gender identity or expression, physical or mental disability, protected veteran status, or any other characteristic protected by law.
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TitleManaging Director (Financial Analytics)
TypeFull Time
Experience5-10 Years
FunctionFinancing
LocationWaterbury, CT, United States
CompanyWebster Bank
Company Profile
Webster Bank
(a subsidiary of Webster Financial Corporation) is a leading commercial bank that delivers financial solutions to businesses, individuals, families, and partners. It offers digital and traditional services
Job Profile
The bank is looking for a
Managing Director ( Financial Analytics )
who will
gather and understand FP&A business requirements ; lead a team of analysts; organize and lead inter-departmental meetings; leverage Webster’s data systems and tools; design code and maintain data workflows; anticipate and resolve data challenges; create user-friendly reports and dashboards; and communicate results.
Collaborate with IT, Data Governance Team, Credit Risk, Finance, Model Risk Management, Auditors, Off-shore consultants, vendors, and LoB partners throughout the Bank. The scope includes working across one or more of our main subject areas: R&D, Quarterly CECL Production, and Dual Risk Rating Underwriting models.
Education Level
Doctorate or Master’s Degree in Econometrics, Statistics, Data Analytics, Computer Science, or other STEM fields
(e.g., physics, math, engineering, etc.) Finance or Business MS/MBA with a strong quantitative and programming background is also acceptable.
Work Experience
5-10 years of modeling/analytical experience
within a commercial bank or financial institution.
Duties/Responsibilities
Develop expert knowledge and experience with Webster’s data systems and tools.
Develop strong relationships with Webster lines of business, Finance, Risk & IT partners, ensuring software development and support requirements are met.
Lead or participate in Model Risk Management, Executive Management, Audit, Regulatory, and inter-departmental strategic and tactical planning and progress meetings.
Maintain rigorous work papers during the model development process. The author reports documenting the design, development, testing, and use of new models and changes to existing models.
Personally participate in the development, coding, implementation, and maintenance of models.
Research, dimension, and manage the scope, nature, business implications, workflow, calendar, data, personnel, and time requirements for the development, implementation, and maintenance of credit loss underwriting models to support the bank’s stress-testing, regulatory reserving, and underwriting.
Skills/Knowledge/Abilities
Expert knowledge and skills in statistical programming (SAS, SQL, Python, R). Experience working with complex data structures. Ability to apply methods to real-world problems.
Good business knowledge and familiarity with commercial and consumer banking products, operations, and processes.
Ingenuity, analytical thinking, resourceful, persistent, pragmatic, motivated, and socially intelligent.
Solid knowledge of statistical theory, in particular general linear models, categorical data analysis, time-series estimation, algorithmic optimization, supervised and unsupervised machine learning.
Strong ability with standard office software such as Excel/VBA, PowerPoint, Tableaux, and Word.
Time management skills are needed to prioritize multiple tasks.
Preferred Qualifications
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.
Experience in designing efficient and robust data workflows.
Experience in developing constructive relationships with a wide range of different stakeholders.
Experience managing a team of high-performing Data Scientists or Quantitative Analysts.
Experience with one or more cloud-based computing platforms: AWS, Azure, GCP.
Good written and verbal communication skills, and ability to multitask.
Model development or validation experience with Credit Risk Underwriting models/scorecards.
Model development or validation experience with stress-testing/DFAST or CCAR/CECL
Employer’s Statement
Webster is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, marital status, national origin, ancestry, citizenship, sex, sexual orientation, gender identity or expression, physical or mental disability, protected veteran status, or any other characteristic protected by law.
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