Chief Credit Officer - Secured Lending

at  Multitude

Multitude is a listed European FinTech company, offering digital lending and online banking services to consumers, small and medium-sized businesses, and other FinTechs. The services are provided through three independent business units, which are served by our internal Banking-as-a-Service Growth Platform. Multitude’s business units are consumer banking (Ferratum), business banking (CapitalBox) and wholesale banking (Multitude Bank).
Multitude Group employs over 700 people in 25 countries and offers services in 16 countries, achieving a combined turnover of 212 million euros in 2022. Multitude was founded in Finland in 2005 and is listed on the Prime Standard segment of the Frankfurt Stock Exchange under the symbol ‘FRU’.
As a global thinking company, we are proud of our diversity and currently employ people from over 40 different nationalities and walks of life. We support employee interests, hobbies, and goals both inside and outside of Multitude because we understand that happy people make happy employees.

KEY ACCOUNTABILITIES:

• Monitor and manage the Tribe’s overall credit risk - include overseeing collections and loan procedures, and processing mitigation of the risks surrounding a loan portfolio.
• Oversee and provide active management of the Bank’s credit analysis function and develop appropriate portfolio management MIS reports.
• Lead and manage tribe risk team and interfaces to group risk and bank risk team.
• Work with the board, tribe CEO and wider management to ensure that the Risk Management Framework is consistent with the tribes objectives and regulatory requirements.
• Act as strategic business partner to achieve budgetary targets, and evaluating new processes, products, technology and business strategy on the risk profile of the tribe.
• Set strategy of the tribe’s credit risk & developing credit & underwriting policies including risk measurement tools including risk assessments, thresholds for key risk indicators, stress testing, and loss database implementation. Lead towards automation process of credit decisioning.
• Lead key risk initiatives & projects to improve the quality of our underwriting, as well as being a driving force in strengthening the tribes awareness on key risk areas and topical issues.
• Develop and enhance a risk reporting framework which meets the requirements of various external and internal stakeholders.
• Monitor and implement performing debt collection procedures, review portfolio DPD’s and work together with debt collection partners to improve NPLs status and portfolio quality.
• Ongoing review of risk governance within the organization and establishing a process to support the monitoring and reporting of tribe risk profile in relation to tribe’s risk management framework and risk limits.
• Drive recruitment of staff members to the team and in the overall development of the credit risk department in line with business needs.
• Assist in determining the adequacy of the allowance for loan and lease losses.

REQUIREMENTS:

• Advanced degree in Finance, Economics, Business Administration, or related field;
• Minimum 8 years of hands-on experience in credit risk management, specifically with focus on underwriting secured loans within traditional banks or fintech companies;
• Proved track record in commercial lending/leasing with proficiency across quantitative analysis, structured lending, and asset-based lending;
• Extensive experience in establishing and developing comprehensive credit, collection, and fraud policies and objectives tailored to effectively manage risk within the company’s acceptable parameters for commercial secured lending;
• Previous managerial experience, including the ability to inspire and motivate teams, foster a culture of accountability and innovation;
• Demonstrated proficiency in developing advanced risk management strategies and scorecard analytics, leveraging quantitative analysis techniques and predictive modeling to optimize risk assessment and decision-making processes;
• Ability to develop risk management and scorecard analytics;
• Thorough understanding of regulatory requirements, particularly EBA guidelines and other local regulatory frameworks, with a proven ability to ensure compliance;
• Expertise in managing the end-to-end loan approval process;
• Experience working with Data Science and understanding model development;
• Excellent communication and interpersonal skills, with the ability to collaborate; effectively with stakeholders at all levels;
• In-depth knowledge of credit risk management principles, methodologies, and best practices.

Please refer the Job description for details