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Job Title: Financial Risk Analyst, Advisory Services
Reports to: Senior Manager, Advisory Services
Division: Digital Business
Department: Risk
JOB PURPOSE STATEMENT
This role is responsible for evaluation and identification of the areas of potential financial risks threatening Loop DFS Group assets, earning capacity, or success of the organization, by performing financial analysis and validation activities with the objective of maximizing profits and asset growth, whilst minimizing operating losses and other risk exposures.
They are also responsible for developing business intelligence dashboards to inform decision-making and facilitate risk monitoring, and provide financial modeling to assess and predict profitability and performance of consumer, merchant and corporate products and/or services. They are also responsible for creating financial reports based on the impact of predictive modeling assumptions as well as developing various financial models and providing cost-benefit analyses for business and strategic opportunities, market share, and profitability.
The role is critical for executing underwriting operations, including evaluation of credit risk proposals and recommending credit decisions and conditions for success for the consumer and merchant businesses across all markets where Loop DFS is represented, in a manner that drives and optimizes lending margins in alignment with the Group’s Risk Appetite and Business objectives.
SME in market research, financial and credit risk underwriting process design and assessment techniques in a highly digital and data driven environment, and will assist Senior Manager to guide other Loop DFS Units in their roles and responsibilities in a manner that optimizes business margins.
KEY ACCOUNTABILITIES (DUTIES AND RESPONSIBILITIES)
Financial (30%)
- Establish and review risk tolerance thresholds based on Loop DFS strategy, Risk Appetite, manage and escalate exceptions to guard the Group against unacceptable financial and credit losses arising from breach of KRIs.
- Generate and review risk measures including Cost of Risk and NPL levels
- Generate and review income simulation to ensure the Group’s risk/return/dividend targets and goals are met; and provide support for model and report enhancements.
- Monitoring covenant compliance and account performance to ensure risk stays within agreed thresholds.
- Monitor key portfolio performance trends to ensure strong credit portfolio quality with a good balance of risk and reward to optimize business opportunities, and in line with business strategy and risk appetite.
Internal Business Processes (50%)
- Conduct continuous market, economic, environmental, social and governance (regulatory)research to assess and advice the severity of financial risk within the Group
- Establish strategies for managing risk exposure by identifying potential problems or opportunities and developing solutions.
- Validate and refine various financial and credit policies/processes through use of analytics
- Identify, Analyze & articulate risks associated with new products or services in Merchant & Consumer businesses to ensure that they are financially viable
- Present ideas as outcomes of risk evaluation exercises via reports and presentations, outline findings and make recommendations for improvements.
- Support new business initiatives through use of quantitative (statistical) using software such as R, Python and qualitative analysis to evaluate risk.
- Conduct periodic evaluations and quality assessments to ensure that the Group’s financial systems and processes are functioning properly
- Using background due diligence to evaluate credit risk, and propose creation of customized credit products to tailor needs of the Business and Customer segments
- Interact directly and maintain good rapport with Business teams and customers teams to deeply understand their business models while protecting the Group’s interests and following compliance protocols
- Guide and support pre-underwriting functions (Business/Data Science/Product) in determining correct application of Loop DFS guidelines.
- Keep abreast on latest technology changes such as data analytics and artificial intelligence that can be applied to financial and credit risk management.
- Recognize and escalate decisions to the Senior Manager when required as per underwriting policy
- Perform ad-hoc creation and maintenance of reports related to underwriting operations
- Perform regular risk control assessments, scenario analysis and stress tests on the loan portfolio within agreed service levels
- Collaborate widely with other stakeholders in the Group and its subsidiaries in key digital initiatives, including risk process design, development and execution of tests
- Assess the effectiveness and accuracy of new data sources and data gathering techniques in collaboration with Data Engineering and Data science.
- Perform financial forecasting, reporting, and operational metrics tracking
- Design, develop and implement financial models for decision support including predictive modelling to increase and optimize collections and recoveries, customer experiences, revenue generation, ad targeting and other business outcomes.
- Analyze past results, perform variance analysis, identify trends, and make recommendations for improvements
- Support scorecard monitoring and analysis; participate in the scorecard development as well as validation of the score cut-off points.
- Guide the cost analysis process by establishing and enforcing policies and procedures
- Perform market research, data mining, business intelligence, and valuation computations
- Satisfactory Audit/Risk and compliance rating on data driven models and underwriting processes.
- Portfolio management, collections and recoveries initiatives through the credit cycle management framework by jointly working in partnership with business, product managers, data science team, operations team and collection teams
- Support scorecard monitoring and analysis; involve in the scorecard development, back testing as well as validation of the score cut-off.
- Participate in digital initiatives and drive continuous improvements in analytics capabilities using both traditional and non-traditional data as well as enhancements in the use of risk analytics tools.
Learning and Development (20%)
- Self-development: engage in self-development initiatives and trainings that equip staff on emerging global Risk management practices
- Subsidiary staff growth and transfer of best practices skills through regular training and coaching
- Internal Staff growth through coaching and training.
JOB SPECIFICATIONS
Academic:
- University degree preferably in Actuarial Science, Statistics, Economics, Finance or Business Administration or related fields.
- Proficiency and Practical experience in data analytics and use of relevant MIS, BI & MS Office applications and statistical computer languages e.g. SQL, R, Python.
- Strong IT skills and experience with office automation tools
Desired work experience:
- At least 4 years banking experience with at least 2 years covering credit management, financial risk and/or portfolio analysis.
- Experience with risk management and reporting in a highly automated environment with Big data analytics will be an added advantage.
Technical Competencies
- Must be able to read and analyze financial scorecards and documents including tax returns, bank statements, financial statements, and credit reports.
- Ability to understand the financial condition of individuals and businesses based on reporting details and basic understanding of how consumers and businesses operate financially across different industries
- Apply business and economics knowledge to evaluate, manage, and advise management on financial risks
- Ability to manage internal partnerships and external partners to optimize cost of risk
- A good understanding of all core processes and knowledge of regulatory and statutory requirements.
- Strong financial modelling, analytical and problem-solving skills with an emphasis on data science and risk management.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, Poisson distribution and proper usage, etc.) and experience with applications.
- Excellent written and verbal communication skills for coordinating cross functional teams.
- Risk Assessment and Identification – knowledge of the financial sector and risk management guidelines as well as current banking and fintech operations practice.
- Risk Management Design – Deep familiarity with digital banking and payments products and the relevant business processes
- Excellent planning and organizational skills with ability to breakdown complex items to actionable elements.
- Decisive and solution focused. Possess strong analytical skills with the ability to collect, organize and analyze significant amount of information with attention to detail and accuracy.
- Relate easily and naturally with executives, business managers, technical teams and customers. Has excellent listening skills and understands the desires and challenges of all our leaders and customers.
- Able to change plans, methods, opinions or goals in light of new information, with the readiness to act on opportunities. Highly effective in adapting to differing environments.
- Capable of developing a sound understanding of the motives, needs and concerns of others and develop a deep understanding of their complex stakeholder network. Can anticipate the motives and expectations of others effectively.
- Self-motivated and self-managing.
NCBA BANK CORE VALUE BEHAVIOURS (PERFORMANCE DRIVERS)
DRIVEN:
Being bold when making decision that impact customers; these captures both the customer feedback and bank policies and procedure. It’s about working as a team and engaging the relationship team for output in decision making. It includes being passionate for one’s own growth by ensuring they take eLearning courses and attending bank webinars.
OPEN:
Customer feedback should always be accurate and inclusive of both stakeholders’ thoughts. Being honest in our day to day interactions with customers whether through written or verbal communication. It entails being transparent when responding to customer queries and complaints.
RESPONSIVE:
Being responsive to our customers means responding quickly, efficiently and accurately.
Responsiveness is not only about acting quickly, it’s about responding appropriately, showing concern for the outcome, following up and keeping customers informed. It’s about being proactive, using your initiative and always looking for ways to improve and innovate. It’s about adding value + speed.
TRUSTED:
Consistency and telling the truth when giving feedback to both internal and external customer. It includes ability to protect customer data hence upholding integrity. It’s about being accountable for our action, explaining our thought process and building trust from both internal and external stakeholders.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.
