Senior Credit Risk Manager for SME Lending
4 weeks ago
Senior Credit Risk Manager
to manage and oversee credit risk management tailored to small and medium-sized enterprises (SMEs). The role involves leveraging innovative technology, alternate and traditional data sources, data analytics, and machine learning to assess, monitor, and mitigate credit risk for SME loan portfolios. The role requires a deep understanding of both the unique credit risk profiles of SMEs and the fast-paced, technology-driven nature of the embedded finance industry.
This exciting role requires a self-driven and seasoned individual with
SME credit risk management expertise and familiarity with embedded lending, ensuring that the company can scale and remain competitive while managing risks effectively.
The role is critical, high exposure, opportunity for growth and is remote working with some travel required.
Key Responsibilities
Credit Risk Strategy & Framework Development:
Develop and implement a comprehensive SME credit risk management framework, ensuring alignment with the company's growth strategy and business objectives.
Define and enforce SME credit risk policies, standards, and best practices in line with regulatory requirements and industry trends.
Collaborate with senior leadership to align credit risk strategies with business goals, particularly as the fintech scales and diversifies its product offerings.
Risk Assessment & Decisioning:
Lead the design and optimization of SME credit risk models (e.g., credit scoring, loan origination, fraud detection) using data analytics and advanced statistical techniques.
Oversee the development and continuous refinement of automated credit decisioning processes and algorithms to ensure effective and accurate risk assessments.
Analyze borrower behaviour, credit performance, and other key metrics to identify emerging risk trends and adapt strategies accordingly.
Portfolio Management & Monitoring:
Monitor the credit quality of the company's loan portfolio in real-time, leveraging the fintech's technological tools and dashboards.
Assess the performance of loans across different segments (e.g., personal loans, business loans, or credit lines), ensuring risk is within acceptable limits and that potential losses are minimized.
Develop and maintain risk-adjusted return models and key risk indicators to guide portfolio management decisions.
Credit Risk Reporting & Communication:
Provide comprehensive and timely reports on credit risk exposure, portfolio performance, and forecasts to senior management, stakeholders, and investors.
Regularly communicate risk findings and insights to the executive team, advising on necessary adjustments to policies, risk thresholds, or product offerings.
Present credit risk analysis to regulatory bodies and external stakeholders, ensuring compliance with local and international financial regulations.
Regulatory Compliance & Risk Mitigation:
Ensure the company adheres to relevant local and global regulatory standards (e.g., GDPR, Basel III, etc.) and that credit risk management processes are compliant.
Work closely with legal, compliance, and operations teams to identify and mitigate regulatory risks, data privacy concerns, and emerging fintech regulations.
Proactively address potential areas of regulatory or financial risk, particularly as the fintech evolves and enters new markets.
Model Development & Validation:
Lead the development, testing, and validation of credit risk models using alternative data sources, machine learning algorithms, and AI tools.
Collaborate with data scientists and engineers to continuously improve the performance, robustness, and fairness of credit models.
Collections Strategy:
Develop and optimize strategies for managing non-performing loans (NPLs), late-stage defaults, and borrower delinquency.
Collaborate with collections teams to develop effective recovery and workout strategies, ensuring minimal losses and maintaining customer relationships.
Monitor trends in customer repayment behaviour to adjust risk models and risk mitigation tactics.
Team Leadership & Cross-functional Collaboration:
Lead and mentor a team of credit risk analysts and managers, providing guidance, training, and development opportunities.
Work cross-functionally with marketing, product, technology, and customer support teams to ensure that risk management aligns with the broader business strategy.
Promote a data-driven culture within the credit risk team and the organization as a whole.
Innovative Risk Solutions:
Leverage new technologies, such as machine learning, AI, and big data analytics, to identify opportunities for innovation and improve the efficiency of risk management processes.
Evaluate and implement new tools or technologies that improve risk assessment accuracy and customer experience.
Stay ahead of emerging fintech trends, assessing new risks (e.g., in the digital lending landscape) and identifying opportunities for differentiation.
Skills & Qualifications:
Education: A bachelor's degree in finance, Economics, Data Science, or a related field (Master's or MBA preferred).
Experience: 8-10+ years of experience in credit risk management in particular SME Credit Risk, with significant experience in a fintech, digital lending, or lending using alternative data.
Strong Knowledge: In-depth understanding of credit risk assessment overall and SME credit specifically, credit scoring models, and financial products in a fintech context.
Data Science & Machine Learning: Experience working with data scientists and technology teams to develop and enhance automated credit decisioning systems.
Regulatory Expertise: Familiarity with regulatory frameworks governing fintech lending, including consumer protection laws and data privacy regulations (e.g., PSD2, GDPR).
Leadership: Proven experience in leading and mentoring cross-functional teams and working in a fast-paced, dynamic environment.
Communication: Strong ability to communicate complex risk concepts to both technical and non-technical stakeholders.
Personal Attributes:
Strategic Vision: Ability to think both strategically and tactically, balancing long-term goals with day-to-day operational needs.
Innovative Mindset: Proactive in identifying innovative solutions and opportunities in credit risk management within a fintech setting.
Analytical & Detail-Oriented: Strong analytical skills with the ability to manage large datasets and identify key insights.
Adaptability: Comfort in working in a fast-changing environment where risk factors and technologies evolve rapidly.
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