Credit Risk Analytics |amp| Reporting Manager

Job highlights
Identified by Google from the original job post
Qualifications
10+ years of relevant experience in developing, documenting, implementing, or validating data with concentration in credit risk management domains
Bachelor's degree in a technical or quantitative field like information management, statistics, engineering, mathematics, operations, or related field
Experience in Data Wrangling, Data Mining, Data Engineering, or related roles in Big Data ecosystem and/or distributed computing
Extensive programming skills with: SQL, SAS, Python, and Power BI tools
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Strong aptitude and ability to develop data-driven solutions
Experience to mentor and lead a team, including management, development, recruiting and review
Experience deriving insight from large amounts of diverse data using analytical and visual techniques
Knowledgeable about banking regulations as it applies to credit and lending functions is beneficial
Strong project management skills
Responsibilities
The Credit Data Strategy & Reporting Manager (CDSRM) is responsible for developing and managing credit risk reporting for executive management, Board of Directors, Regulators, and public disclosures
In addition, the role will serve as credit risk data steward and participate in enterprise-wide data governance
The Credit Data Strategy & Reporting Manager will participate in documenting credit-related information, metadata, determining procedures for data interpretation, and will work closely with data users to ensure uniform application
The Credit Data Strategy & Reporting Manager must be collaborative, highly effective, and results oriented with a proven ability to lead teams toward successful attainment of objectives
Manage the department's strategic initiatives to transform and streamline credit reporting, ensuring that decisions consider upstream and downstream impacts to business processes
Oversee the performance of the team in the timely completion of analyses and reporting for the organization, and coordinate with lines of business, accounting, and finance associates for timely and accurate delivery
Synthesize credit data to provide trend analysis and risk conclusion for management, Board and Regulatory reports, including standard and ad-hoc requests, as needed
Provide analytical insights for executive management and the board of directors on credit trends and emerging risks in portfolios
Use analytical and technical skills for improving data quality and business insights, as well as influencing business process design
Prepare strategies and present to management analytic projects, data quality and usage metrics, and data integration intelligence
Be the technical mind for Data Governance over the credit data domain
Standardize credit data definitions and classifications and ensuring that a data trail is effectively documented within the processes associated with accessing, retrieving, exchanging, reporting, managing, and storing of data
Work with the analytics teams and data originators and users for consistency of use of data assets, as well as to eliminate redundancies and non-sanctioned variations
Partner with lines of business to address root causes that create data quality issues
Cultivate cross-functional relationships between business units to ensure insights become actionable and drive desirable business outcomes
Utilize data handling and mining tools to support proactive data quality monitoring program focusing on business intelligence and analytics applications
Participate in software and system design and development for new platforms, products and services
Representing credit risk regarding data security, business continuity and recovery frameworks
Develop and manage a performance-oriented organization, capable of actively and effectively engaging and growing with the business
Champion and build a culture of control and accountability
Mentor and manage the department to facilitate associate engagement and professional development
Continually strive to develop talent within and recruit talent to the organization to promote associate retention and meet current and future business needs
Assist in expanding data literacy across the company so various stakeholders can put your data to use
This includes the on time, successful completion of annual required training post-hire and effective execution of role responsibilities
Job description
LOCATION: This position can be located at any Seacoast location within the company's footprint in FL

SUMMARY:

The Credit Data Strategy & Reporting Manager (CDSRM) is responsible for developing and managing credit risk reporting for executive management, Board of Directors, Regulators, and public disclosures. In addition, the role will serve as credit risk data steward and participate in enterprise-wide data governance. The Credit Data Strategy & Reporting Manager will participate in documenting credit-related information, metadata, determining procedures for data interpretation, and will work closely with data users to ensure uniform application. The Credit Data Strategy & Reporting Manager must be collaborative, highly effective, and results oriented with a proven ability to lead teams toward successful attainment of objectives.

DUTIES AND RESPONSIBILITIES:

Credit Risk Reporting:
• Manage the department's strategic initiatives to transform and streamline credit reporting, ensuring that decisions consider upstream and downstream impacts to business processes.
• Oversee the performance of the team in the timely completion of analyses and reporting for the organization, and coordinate with lines of business, accounting, and finance associates for timely and accurate delivery.
• Synthesize credit data to provide trend analysis and risk conclusion for management, Board and Regulatory reports, including standard and ad-hoc requests, as needed.
• Provide analytical insights for executive management and the board of directors on credit trends and emerging risks in portfolios.
• Use analytical and technical skills for improving data quality and business insights, as well as influencing business process design.
• Prepare strategies and present to management analytic projects, data quality and usage metrics, and data integration intelligence.

Credit Data Governance:
• Be the technical mind for Data Governance over the credit data domain.
• Standardize credit data definitions and classifications and ensuring that a data trail is effectively documented within the processes associated with accessing, retrieving, exchanging, reporting, managing, and storing of data.
• Work with the analytics teams and data originators and users for consistency of use of data assets, as well as to eliminate redundancies and non-sanctioned variations.
• Partner with lines of business to address root causes that create data quality issues.
• Cultivate cross-functional relationships between business units to ensure insights become actionable and drive desirable business outcomes.
• Utilize data handling and mining tools to support proactive data quality monitoring program focusing on business intelligence and analytics applications.
• Participate in software and system design and development for new platforms, products and services.
• Representing credit risk regarding data security, business continuity and recovery frameworks.

Leadership and people development:
• Develop and manage a performance-oriented organization, capable of actively and effectively engaging and growing with the business.
• Champion and build a culture of control and accountability.
• Mentor and manage the department to facilitate associate engagement and professional development.
• Continually strive to develop talent within and recruit talent to the organization to promote associate retention and meet current and future business needs.
• Assist in expanding data literacy across the company so various stakeholders can put your data to use.

EDUCATION, EXPERIENCE & TECHNICAL REQUIREMENTS:
• 10+ years of relevant experience in developing, documenting, implementing, or validating data with concentration in credit risk management domains.
• Bachelor's degree in a technical or quantitative field like information management, statistics, engineering, mathematics, operations, or related field.
• Experience in Data Wrangling, Data Mining, Data Engineering, or related roles in Big Data ecosystem and/or distributed computing
• Extensive programming skills with: SQL, SAS, Python, and Power BI tools.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Strong aptitude and ability to develop data-driven solutions.
• Experience to mentor and lead a team, including management, development, recruiting and review.
• Experience deriving insight from large amounts of diverse data using analytical and visual techniques.
• Knowledgeable about banking regulations as it applies to credit and lending functions is beneficial.
• Strong project management skills.

The Statements above are intended to describe the general nature and level of work being performed by people assigned to this position. They are not intended to be an exhaustive list of responsibilities, duties, and skills. Because these statements are general, the job description is used for a variety of purposes including job evaluations; performance reviews; recruitment; etc. All Associates are required to adhere to the highest legal and ethical standards applicable to our industry. It is the policy of Seacoast Bank that all Associates will be familiar and compliant with all regulatory, legal, ethical and Bank risk mitigation requirements pertaining to both our industry and their individual roles. This includes the on time, successful completion of annual required training post-hire and effective execution of role responsibilities.

#LI-PF1