Credit Data Science Manager II

Coastal Community Bank; United States; Remote; USD 80,000 - 100,000; Full time

Job summary

An established industry player is seeking a skilled professional to manage and oversee the development of internal credit risk models. This role is pivotal in ensuring accurate credit loss forecasting, decision-making, and compliance with regulatory standards. The ideal candidate will possess strong analytical skills, technical expertise, and a deep understanding of credit risk modeling and data science. Join a dynamic team that thrives on innovation and collaboration, where your contributions will directly impact the success of the organization and its clients. If you are passionate about finance and technology, this is the perfect opportunity for you.

Qualifications

• Expertise in credit risk modeling and data science required.
• Strong analytical skills for performance validation of models.

Responsibilities

• Manage and oversee development of internal credit risk models.
• Provide oversight of partner models critical for risk management.

Skills

Analytical Skills

Credit Risk Modeling

Data Science

Regulatory Compliance

Education

Bachelor's Degree in Finance or related field

Master's Degree in Data Science or Finance

Job description

ABOUT US

Coastal Community Bank is a leader in Banking with strong Financial infrastructure leading Banking as a Service (BaaS) and Fintech strategies. The people at Coastal not only help people with their personal banking; they help businesses with banking technology integration that leads to business growth, flexible financing, and unimagined potential. We think and work like entrepreneurs, always moving and constantly improving. We are go-getters, work hard, and play hard. If you're someone who thrives on innovation, wants to help others succeed, knows how to think outside the box, and believes that we're all in this together -- you belong here.

OVERVIEW

Responsible for managing and overseeing the development, validation, and performance of internal credit risk models for the CCBX consumer portfolios and providing oversight of CCBX Partner models. These models are critical for credit loss forecasting, credit decisioning, risk management, and regulatory compliance. The role requires technical expertise, strong analytical skills, and deep knowledge of credit risk modeling, data science, and regulatory requirements.