Jobs at Kuda Bank

About the Role

• We are seeking a highly skilled and detail-oriented Fraud Analyst to join our dynamic Fraud Team.
• In this role, you will play a key part in managing fraud queries, proactively preventing fraud incidents, and ensuring the security of our customers' finances.

Key Responsibilities

• Identifying and investigating cases of fraud across our various channels.
• Analyze data and information to provide insights and recommendations.
• Implementing measures to mitigate fraud risks and prevent fraudulent activities.
• Conducting Fraud risk assessment on products and services.
• Fraud data analytics to identify current trends, patterns and threats.
• Monitoring all electronic transactions to detect suspicious patterns.
• Handling escalations and providing timely resolutions to fraud-related issues.
• Collaborating with internal stakeholders to identify trends and implement control measures.
• Providing investigative findings on reported fraud cases to customers.
• Perform other duties as required.
• Compiling and presenting detailed reports on identified fraud cases, including the methods used, the impact, and the recommended preventive measures.

Requirements

• Bachelor's Degree in a relevant field.
• Minimum of 4 years of experience in fraud analysis or a similar role.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and ability to work with large volumes of data.
• Intermediate to advanced SQL (an advantage).
• Strong analytical and problem-solving skills.
• Experience working in a fintech or other fast paced environment.
• Proficient in Monitoring systems and rules tuning.
• Knowledge of fraud prevention techniques and technologies.
• Proficiency in using fraud detection tools and software
• Good communication skills and ability to collaborate effectively with cross-functional teams.
• Ability to work in a fast-paced environment and handle multiple priorities.
• Proficiency in SQL for querying databases and extracting data for analysis.
• Advanced skills in data analysis and the ability to use these skills to identify patterns and anomalies that may indicate fraud.

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Role

As a Credit Strategy Analyst, you are supporting the analytics throughout the credit product life cycle, from product design, to credit acquisition, portfolio management, collection and profit & loss. You will work within the Decision Science team, reporting to the Credit Risk Analytics Lead.

Responsibilities

• Portfolio performance metrics
• Policy rule analysis
• Profit and loss forecast
• Credit limit assignment analysis
• Affordability analysis
• Score cut-off analysis
• Collection rate
• Lending / Collection strategy A/B testing

Requirements

• Must have an academic background in a mathematical discipline e.g. Mathematics, Statistics, Physics, etc.
• Must have 3+ years experience as a quantitative analyst in a financial service
• Proficient at database languages SQL
• Proven knowledge of typical statistical tests used for A/B testing
• Proven knowledge of standard statistical software packages (open source language preferred)
• Understanding of credit portfolio performance metrics, including but not limited to annualised loss, vintage curves, roll rate, exposure at default, loss given default
• General programming language (open source language preferred, e.g. Python, R)
• Experience of developing business reports from end-to-end, i.e. from business requirement analysis, designing the visualisation layer of the reports, sourcing the data, developing and productionize the report, and managing the stakeholders’ expectations.
• Experience in generating actionable insights from the reports, e.g. interpreting the monthly monitoring reports to the business owners in relation to their business interest, and recommending actions in response to the latest developments in the reports