Sr Manager - Military veterans preferred

General Description

In this pivotal role, you will oversee data-driven initiatives to ensure regulatory compliance and drive fair lending practices. This position involves managing the collection, analysis, and reporting of HMDA (Home Mortgage Disclosure Act) and small business data, performing advanced regression analyses, and reviewing AI and machine learning models for potential biases and fair lending risks. Additionally, the role includes improving processes and enhancing reporting capabilities for all regulatory compliance processes (e.g., advisory functions, testing and monitoring functions, program functions, etc.) to align with compliance objectives.

Essential Duties and Responsibilities

• Lead and manage the team responsible for data collection, analysis, and production related to HMDA and small business data.
• Oversee the use of large datasets to conduct fair lending regression analyses and ensure compliance with regulatory requirements.
• Review and assess AI and machine learning models to identify biases and evaluate fair lending risks.
• Collaborate with cross-functional teams, including Risk, Compliance, and IT, to develop and implement robust data governance frameworks for the management of these datasets.
• Drive process improvement initiatives within the compliance organization (e.g., throughout the advisory, monitoring, testing and program functions) to enhance operational efficiency and accuracy, including through the use of Gen AI and machine-learning models.
• Lead the development of advanced compliance reporting functions, enhancing current metrics and metric reporting to ensure actionable insights for internal stakeholders and regulatory agencies.
• Stay informed on emerging regulations, data science trends, and technologies to enhance compliance practices.
• Provide mentorship and leadership to team members to foster professional growth and innovation.

Minimum Education

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, or a related field. Ph.D. preferred.

Experience

10+ years of experience in data science, analytics, or related roles, with at least 5 years in a managerial or leadership capacity.

Other Qualifications

• Proven experience working in the banking or financial services industry, with a focus on compliance, fair lending, or related areas.
• Expertise in analyzing and managing large regulatory datasets, including knowledge of relevant regulatory frameworks.
• Strong proficiency in statistical modeling, machine learning, and regression analysis techniques.
• Hands-on experience with data science tools and programming languages, such as Python, R, SQL, and SAS.
• In-depth knowledge of AI and machine learning models and methods for identifying and mitigating algorithmic biases.
• Demonstrated ability to lead process improvement initiatives and drive organizational change.
• Strong analytical, problem-solving, and communication skills, with the ability to present complex data to non-technical audiences. Specifically, ability to apply advanced analysis methodologies, interpret and present findings in a clear, concise manner, including the creation and use of tables, charts, and graphics to summarize results.
• Familiarity with big data platforms and cloud-based solutions. (Preferred)
• Prior experience in developing and implementing compliance reporting systems. (Preferred)
• Certification or training in model risk management or related fields. (Preferred)

Values