Quantitative Modeler & Data Scientist

About the Role:

In this role you will develop implement and support statistical mathematical economic financial and AI/ML-driven models that inform business decisions strengthen risk management and support strategic initiatives across the bank. The role provides exposure to a broad range of modeling and analytics applications including financial planning fraud detection customer analytics credit risk anti-money laundering asset liability management and AI-enabled capabilities in areas such as fraud analytics customer intelligence process automation and model monitoring.

You will contribute to model validation governance documentation and performance monitoring for financial non-financial and AI/ML-enabled models used across the partnership with stakeholders across the bank you will provide guidance on model design selection implementation monitoring and appropriate use with a focus on sound methodology regulatory alignment business value and responsible adoption of emerging AI technologies.

• Design estimate implement test document monitor and maintain statistical financial economic machine learning and AI-enabled models used for business decision-making risk management forecasting and strategic initiatives.
• Develop and support models for default loss severity fraud detection customer analytics financial planning credit risk anti-money laundering asset liability management model monitoring and other financial and non-financial applications across the bank.
• Support responsible adoption of AI/ML capabilities by contributing to governance documentation monitoring control design and appropriate use standards for emerging analytics technologies.
• Conduct quantitative analysis modeling data mining and programming using tools such as Databricks Snowflake SQL R Python and other approved analytics platforms to generate insights test hypotheses and provide actionable recommendations.
• Partner with business units technology risk compliance and governance stakeholders to identify business needs define analytical approaches and develop modeling solutions aligned with internal standards and applicable regulatory expectations including SR 26-2.
• Research and Develop quantitative tools and techniques to measure and analyze model risks and establish conclusions on strengths and limitations of the model. Assess conceptual foundations of a model model specification underlying assumptions limitations variable selection underlying data developmental evidence documentation.
• Interview model developers/vendors and model owners to understand the business context for model use and facilitate the adoption of model risk management standards. Keep up-to-date with any banking regulations affecting model risk management practices across the bank.
• Advocate sound quantitative model development model monitoring and AI governance practices across the bank.
• Propose and execute model validation tests for new and existing models in the inventory.
• Assist manager in production of regular and ad-hoc reports on individual and Bank-level model findings for Senior Management and regulators.
• Coordinate with model validation team on any changes to the Banks model inventory or End user Applications..
• Demonstrates compliance with all bank regulations for assigned job function and applies to designated job responsibilities knowledge may be gained through coursework and on-the-job training. Keeps up to date on regulation changes.
• Follows all Bank policies and procedures compliance regulations and completes all required annual or job-specific training.
• Maintain a working knowledge of Banks written policies and procedures regarding Bank Secrecy Act Regulation CC Regulation E Bank Security and other regulations as applicable to this job description.
• May be asked to coach mentor or train others and teach coursework as subject matter expert.
• Actively learns demonstrates and fosters the Columbia corporate culture in all actions and words.
• Takes personal initiative and is a positive example for others to emulate.
• Embraces our vision to become Business Bank of Choice
• May perform other duties as assigned.

About You:

• Masters Degree Masters Degree in economics mathematics statistics financial engineering quantitative finance or actuarial sciences. Required
• Ph.D. Doctoral degree or equivalent experience. Preferred.
• 2-4 years in banking or financial services as a Data Scientist Statistician Quantitative Risk Analyst Model Developer Model Validator or similar. Required
• Knowledge of regulatory requirements related to model risk management (FRB/OCC SR 26-2) Basel II/III capital requirements and Dodd-Frank Act Stress Testing (DFAST).
• Advanced understanding of statistical modeling econometric forecasting machine learning data extraction and processing techniques; and demonstrated ability to apply such methods.
• Experience with analytics software ( Python PySpark R Matlab Excel VBA SQL) relational databases and/or cloud computing platforms like Azure AWS Databricks Snowflake.
• Possess communication skills both oral and written with ability to translate complex statistical or economic theories and analysis into practical implications for business teams and Senior Management.
• Demonstrate strong organizational skills with the ability to manage multiple concurrent projects.
• Ability to proactively learn newly emerging statistical econometric and mathematical modeling techniques and understand the implications of their use in a banking organization.
• Proven organizational skills are required to perform multiple tasks simultaneously to meet strict deadlines. Critical thinker with business intuition intellectual curiosity and ability to execute.
• Certification as Financial Risk Manager (FRM) Chartered Financial Analyst (CFA) or Certificate in Quantitative Finance (CQF) or progress toward the Certification.

Thepayrange for this role is $100000.00 - $160000.00.

The pay rate for the selected candidate is dependent upon a variety of non-discriminatory factors including but not limited to job-related knowledge skills and experience education and geographic location. The role may be eligible for performance-based incentive compensation and those details will be provided during the recruitment process.

Primary Location: Ability to work fully onsite at posted location(s).

Our Benefits:

We are proud to offer a competitive total rewards package including base wages and comprehensive benefits.

We offer eligible associates comprehensive healthcare coverage (medical dental and vision plans) a 401(k)-retirement savings plan with employer match for qualifying associate contributions an employee assistance program life insurance disability insurance tuition assistance mental health resources identity theft protection legal support auto and home insurance pet insurance access to an online discount marketplace and paid vacation sick days volunteer days and holidays. Benefit eligibility begins the first day of the month following the date of hire for associates who are regularly scheduled to work at least thirty hours weekly.

Our Commitment to Diversity:

Columbia Bank is an equal opportunity and affirmative action employer committed to employing engaging and developing a diverse workforce. All qualified applicants will receive consideration for employment without regard to race color national origin religion sex age sexual orientation gender identity gender expression protected veteran status disability or any other applicable protected status or characteristics. If you require an accommodation to complete the application or interview(s) please let us know by email: .

To Staffing and Recruiting Agencies:

Our posted job opportunities are only intended for individuals seeking employment at Columbia Bank. Columbia Bank does not accept unsolicited resumes or applications from agencies and Columbia Bank will not be responsible for any fees related to unsolicited resume submissions. Staffing and recruiting agencies are not authorized to submit profiles applications or resumes to this site or to any Columbia Bank employee and any such submissions will be considered unsolicited unless requested directly by a member of the Talent Acquisition team.