
Senior Manager, Financial Services at NCBA Group
- Kenya
- Permanent
- Full-time
- Design and optimize digital-first, customer-obsessed financial risk processes to enhance portfolio performance, revenue generation, and risk mitigation.
- Ensure compliance with group and regulatory risk management policies.
- Set and monitor risk tolerance thresholds aligned with strategy.
- Oversee financial risk model validation and monitoring.
- Track account performance and covenant compliance to avoid credit losses.
- Build data-driven, digital risk management processes for proactive financial risk identification and evaluation.
- Review and approve credit proposals within risk appetite.
- Conduct portfolio analysis to improve risk and acquisition strategies.
- Explore new technologies (AI, analytics) for credit risk assessments.
- Support strategic decisions with financial forecasting and operational reporting.
- Lead model validation, governance, documentation, and regulatory compliance.
- Automate credit assessment workflows to drive efficiency and performance.
- Ensure audit-readiness of data-driven models and systems.
- Collaborate with business teams to support new initiatives, conduct portfolio reviews, and revise credit policies.
- Guide credit cycle management and analytics-led decisions.
- Provide training to subsidiaries to build risk capability.
- Drive digital innovations and continuous improvements in risk processes and tools.
- Build team capability through coaching and training.
- Commit to ongoing self-development and upskilling.
- Bachelor's degree in Actuarial Science, Statistics, Economics, Finance, or Business Administration.
- Proficiency in data analytics and statistical programming languages (e.g., SQL, R, Python).
- Strong IT and office automation skills (e.g., MS Office, MIS, BI tools).
- Minimum 6 years of banking experience, with at least 3 years in financial/credit management or portfolio analysis.
- Experience in portfolio management and reporting within automated environments.
- Exposure to project management and team supervision.
- Proven ability to work across teams and manage stakeholder expectations.
- Strong financial modeling, data analysis, and problem-solving skills.
- Practical experience in data architecture design and implementation.
- Proficiency in machine learning and advanced statistical techniques.
- Skilled in interpreting large data sets with attention to detail and accuracy.
- Ability to prioritize, drive results, and adapt to new technologies with a continuous learning mindset.
- Strong interpersonal and communication skills to support cross-functional collaboration.
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