Careers at Sun King (Formerly Greenlight Planet)

About the role:

The Area collections Executive plays a critical role in managing delinquent accounts and ensuring repayment compliance. This position involves converting overdue accounts into current customers through client visits, collection calls, and strategic follow-ups in team work with Area Business Managers and Field Sales Executives/Energy Officers to minimize default rates.

What you would be expected to do:

• Convert delinquent accounts to current customers through overdue client visits and performing collection calls.
• Working with Area Business Managers and Field Sale Executives/Energy Officers to minimize default rates through follow up on delinquent customers.
• Identification, reporting and investigation of suspected Fraud or tampering cases.
• Escalation of any complex cases e.g. client complaint, tampering, fraud and working closet with the Fraud Management team.
• Training field Agents on the key Risk processes including various collection techniques, repossession etc.
• Driving operating rhythm to follow-up with Agents (Field Officers) to ensure they are completing their collection calls and repossession tasks on time.
• Examining area portfolio and repayment trends and laying down daily, weekly, monthly strategies to drive better collection rates from delinquent customers.
• Conducting mystery market visits to confirm the quality of sales and obtain different insights from different areas to enhance strategic direction and mitigate problems of delinquent accounts and repayments.
• Providing weekly updates to Sales and Risk management teams on-field interventions performed and results achieved, along with customer insights.
• Designing, piloting, and operationalizing collection processes necessary for ensuring better repayments and customer satisfaction.

You might be a strong candidate if you:

• Hold a bachelor's Degree preferably a Criminology related course 
• Have at least 2 years of experience preferably in the Collections or Fraud Identification & Investigation
• Possess credit management Experience in a MFI/Bank/Fintech/PAYGO company (added advantage).
• Demonstrate excellent people relations skills.
• Exhibit fraud detection & Investigation skills.
• Show attention to detail.
• Possess advanced excel skills.
• Have problem-solving abilities.
• Display good communication and presentation skills.
• Have good planning and Organization skills.  
• Possess previous work experience in Field collections (added advantage).

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About the Role

The DI team is seeking a Lead Analyst with expertise in Behavioural Science, analytics, and storytelling to play a pivotal role in transforming data into actionable business insights. The successful candidate will deeply understand business challenges, leverage Customer/Agent behavioural analytics techniques, and effectively communicate complex analyses to both technical and non-technical stakeholders. This role requires a strong ability to bridge the gap between Agent and customer Behaviour, operational initiatives, and technology.

What you would be expected to do:

• Conduct in-depth qualitative and quantitative research to understand customer and agent behaviors, motivations, and pain points.
• Leverage surveys, focus groups, and sentiment analysis tools to assess customer feedback and agent morale.
• Map customer and agent interactions across touchpoints to identify friction areas and optimize engagement strategies.
• Assess competitor strategies to uncover opportunities for improving customer satisfaction and agent performance.
• Design and execute A/B tests, behavioral experiments, and case studies to evaluate the impact of process improvements.
• Define and measure key behavioral performance indicators (KPIs) for customer satisfaction, agent efficiency, and service quality.
• Apply regression analysis, and statistical modeling to predict customer churn and agent productivity trends.
• Expertise in data visualization tools like Tableau, Looker, or Power BI to create compelling, actionable insights.
• Support loyalty programs, retention strategies, and service enhancements based on behavioral insights.
• Collaborate with senior leaders to identify strategic opportunities and guide data-driven decision-making.
• Lead projects to completion which will involve managing efforts across the team and mentoring junior team members and reviewing their work.

You might be a strong candidate if you have:

• A bachelor’s or master’s degree in Economics, Social Sciences, Public Policy, Psychology, Business Analytics, or a related field with a deep understanding of behavioral patterns.
• 5+ years of experience in business intelligence, strategic analysis, or behavioral analytics, with a track record of using data-driven insights to improve customer and agent experiences.
• Proficiency in SQL and Python for data extraction,modeling, and predictive analytics.
• Strong understanding of customer behavior, agent performance analytics, and market research techniques to solve real-world business challenges.
• Experience with Tableau, Looker, or Power BI to create compelling dashboards and data-driven narratives for diverse stakeholders.
• Strong academic behavioral science background.
• Ability to translate research findings into business strategies, working closely with leadership, marketing, and operations teams to enhance customer and agent engagement.

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About the Role

The Insights Manager will have a strategic role in utilizing data analytics, business intelligence, and advanced statistical methods to ensure that the Risk function initiatives are data centric. They will work in close collaboration with the Global Analytics Team (GAT) to deliver solutions and insights that will improve portfolio management and enable rapid growth of the company revenue while ensuring its financial sustainability. This position requires strong analytical skills, a deep understanding of business strategy, and the ability to communicate complex data insights effectively to both technical and non-technical stakeholders. 
The successful candidate will be key in optimizing credit policies, enhancing operational efficiencies, and shaping business strategies through data-driven insights.

What you would be expected to do:

Strategic Analytics & Business Insights

• Collaborate with executive leadership to identify strategic opportunities to reduce credit risk exposure and provide data-driven recommendations to improve portfolio quality.
• Develop and execute advanced analytics solutions, including statistical analysis, forecasting models, and A/B testing, to optimize credit policies and operational processes.
• Drive the development and monitoring of Key Performance Indicators (KPIs) and dashboards to align field agents and staff collection and default reduction activities with business objectives.
• Interpret data to forecast trends and assess potential risks impacting credit and collections.

Credit & Collections Analytics

• Support the credit team with ad hoc and periodic requests requiring in-depth analysis.
• Act as a liaison between the credit team and data science and intelligence sub-departments to develop models that enhance risk assessment and process efficiency.
• Evaluate collections performance indicators and identify red flags, recommending targeted interventions for each region.
• Design and conduct surveys aimed at refining credit policies and improving customer segmentation.

Process Automation & Optimization

• Develop actionable roadmaps to enhance credit policies and automate processes using available tools.
• Collaborate with GAT to create tools that improve data collection, analysis, and process efficiency in the credit and risk teams
• Partner with the data intelligence and engineering sub-departments to design and optimize data pipelines and workflows to enhance data accessibility and reporting.

Data Visualization & Communication

• Design and develop dashboards and reports using tools like Tableau, Looker, or PowerBI to support informed decision-making.
• Communicate insights and recommendations to stakeholders, ensuring alignment between business strategy and data-driven initiatives.
• Translate complex data into actionable strategies and present findings in a structured, visually compelling manner.

Leadership & Project Management

• Lead key projects across multiple teams, ensuring timely and high-quality delivery.
• Mentor junior team members and review their work to enhance analytical capabilities across the department.
• Participate in regular management meetings, providing insights that drive operational efficiency and growth.

Risk Management & Trend Forecasting

• Identify, analyze, and communicate the potential impact of risk events on business performance.
• Forecast market trends and recommend strategies to mitigate financial exposure.
• Ensure robust data governance and compliance in all credit analytical processes.

You might be a strong candidate if you have:

Education & Experience:

• Bachelor's or Master’s degree in Data Science, Actuarial Science, Computer Science, Mathematics, Business Analytics, Economics, or a related quantitative field.
• 8+ years of experience in business intelligence, strategic analysis, or a similar role, with a proven track record of driving business outcomes through data insights.
• Prior experience in project management with a strong ability to manage cross-functional initiatives.

Technical Skills:

• Programming experience in SQL, Python, or R for data analysis and modeling.
• Expertise in data visualization tools such as Tableau, Looker, or Power BI.
• Strong statistical knowledge and experience with A/B testing, regression analysis, and hypothesis testing.
• Experience working with AWS or other cloud platforms (GCP, Azure) is a plus.

Soft Skills & Competencies:

• Strategic mindset with the ability to align data insights with business objectives.
• Strong problem-solving and decision-making abilities.
• Exceptional communication skills (oral, written, and visual) to convey insights to both technical and non-technical stakeholders.
• Demonstrated ability to work collaboratively across departments and manage multiple stakeholders.
• High attention to detail and the ability to spot inconsistencies in data.