Jobs at Credit Direct Limited

The Data Analyst (Graduate Intern) will support the Financial Inclusion sales team by managing customer data, maintaining an organized leads database, and providing basic analytical insights to support sales growth. The role is designed for a recent graduate with strong data skills who will be trained to support customer onboarding, sales tracking, and lead management across the Credit Direct ecosystem.

Job Details

Customer Data Management

• Create and maintain customer profiles for all customers onboarded by the Financial Inclusion sales team.
• Ensure accurate and timely data entry for new customers and sales transactions.
• Review and clean customer data to eliminate duplicates and inconsistencies.

Leads Database Management

• Maintain and update the department’s leads database.
• Consolidate leads generated from multiple channels across the Credit Direct ecosystem.
• Organize leads into structured categories to support sales conversion.

Sales Tracking & Reporting

• Track sales activity and customer onboarding across Relationship Officers.
• Maintain records of leads, conversions, and loan disbursements.
• Produce weekly reports on sales pipeline and lead conversion performance.

Data Analysis & Insights

• Analyze leads and sales data to identify patterns and opportunities for improved conversion.
• Support the team with simple dashboards and performance summaries.

Marketing Collaboration

• Work with the marketing team to ensure continuous engagement of leads through campaigns and targeted communication.
• Provide updated leads lists for marketing outreach and track engagement outcomes.

Requirements

• Bachelor’s degree in Economics, Statistics, Mathematics, Computer Science, Business Administration, or a related field.
• Less than 1 year of work experience (recent graduates strongly encouraged to apply).
• Strong interest in data management, analytics, and sales operations.

Skills & Competencies

• Strong proficiency in Microsoft Excel and data handling.
• High attention to detail and accuracy in data entry.
• Basic data analysis and reporting capability.
• Ability to organize large datasets into structured formats.
• Strong problem-solving and analytical thinking.
• Ability to work in a fast-paced, sales-driven environment.

go to method of application »

We are seeking a Digital Channels Analyst to monitor and support our digital channels, ensure smooth customer journeys, and provide timely issue resolution. The role will monitor the prequalification process, act as an intermediary between IT and business teams, and support payroll data collection from Collections Officers for decisioning and reporting. The Analyst will also ensure the Affiliate Program runs smoothly, resolving partner issues and tracking performance. Mid-level proficiency in SQL, Excel, and Power BI is required. Tele-sales experience is a strong advantage.

Key Responsibilities:

• Monitor digital channels daily to ensure availability, performance, and smooth customer journeys.
• Track and report channel KPIs (leads, conversions, drop-offs, errors, turnaround time).
• Log, troubleshoot, and escalate incidents; follow through to resolution with IT and relevant teams.
• Monitor the end-to-end prequalification process, investigate failures, and coordinate fixes.
• Obtain and validate payroll data from Collections Officers; ensure accuracy and completeness.
• Build/maintain dashboards and reports using Power BI, SQL, and Excel to support decisions.
• Ensure the Affiliate Program is operational (tracking, attribution, partner support, issue resolution).
• Maintain documentation (SOPs, issue logs, recurring issues/root cause patterns).

Requirements (Must Have)

• 3–5 years’ experience in digital channel operations, sales operations, analytics, or a similar role.
• Mid-level SQL (joins, aggregations, filtering, data validation).
• Mid-level Excel (pivots, lookups, reconciliation; Power Query is a plus).
• Mid-level Power BI (dashboards, basic DAX, refresh monitoring).
• Strong problem-solving, attention to detail, and stakeholder management skills.
• Ability to translate business issues into clear technical requirements/tickets.

Added Advantage (Nice to Have)

• Strong Tele-sales background and understanding of conversion drivers and lead management.
• Experience in fintech/lending journeys, affiliates/referral programs, and funnel analytics.
• Familiarity with ticketing tools (e.g., Jira/ServiceNow) and CRM platforms.

Key Performance Indicators (KPIs)

• Channel uptime and reduced incident frequency
• Faster issue resolution time (MTTR) and SLA compliance
• Improved prequalification success rate and reduced failure reasons
• Accuracy/timeliness of payroll data availability
• Affiliate issue resolution turnaround and tracking accuracy
• Consistent, actionable reporting and dashboard adoption

go to method of application »

Design, build, and deploy predictive models that improve customer segmentation, risk assessment, and credit decisions. Develop risk modelling and stress testing frameworks. Drive data-driven strategies that enable personalized offerings, boost portfolio performance, and support smarter, faster, and more responsible lending practices.

Data Modelling & Customer Profiling:

• Build and maintain predictive models for customer segmentation and risk assessment. 
• Develop clustering techniques to better understand customer behaviour patterns.

Credit Risk Analytics:

• Create scoring models for default risk, fraud detection, and creditworthiness evaluation.
• Develop risk modelling and stress testing frameworks.

Model Deployment & Monitoring:

• Work with tech teams to deploy models into production systems.
• Monitor model performance and adjust when needed.

Stakeholder Engagement & Communication:

• Build relationships with internal stakeholders, customers, and external partners.

Compliance & Data Governance:

• Ensure models meet internal policies and regulatory requirements.
• Maintain data accuracy, ethics, and security standard.

Requirements

• B.Sc./M.Sc. in Data Science, Statistics, Computer Science, or related field.
• Professional certifications in data analytics or machine learning (preferred).
• Minimum 4 years in data science or risk analytics roles.
• Experience in financial services, particularly lending, is strongly preferred.

Technical:

• Predictive modelling & machine learning.
• Credit risk analysis & scoring.
• SQL, Python.
• Risk modelling and stress testing.
• Experience with cloud platforms (AWS, Azure).

Behavioral:

• Analytical and curious mindset.
• Effective communication and storytelling skills.
• Strong stakeholder management.
• Team collaboration.
• Accountability and ownership.
• Continuous learning & improvement mindset.

go to method of application »

Responsible for managing and expanding the portfolio of high-net-worth clients, personal loans, driving loan sales, enhancing client relationships, and delivering tailored financial solutions to meet the unique needs of private sector clients.

Client Relationship Management:

• Build and maintain strong relationships with high-net-worth clients to drive loyalty and repeat business.
•  Conduct regular meetings with HNI clients to understand their financial needs and provide tailored loan solutions.
• Address and resolve client issues and concerns promptly to ensure high levels of satisfaction.
• Prepare and present regular reports on HNI sales performance, market trends, and business activities.
• Analyse data to identify areas for improvement and implement corrective actions as needed.
• Provide insights and recommendations to the Head, Personal Loans, based on analysis.

Sales and Business Development:

• Develop and implement strategies to achieve personal loan sales targets for HNI clients.
• Identify and pursue new business opportunities within the HNI segment.
• Collaborate with the sales and marketing teams to create targeted campaigns and initiatives.
• Conduct market research and analysis to stay informed about industry trends and competitive landscape.
• Develop strategies to enhance market presence and competitive positioning of personal loan products for HNI clients.
• Identify and capitalize on new market opportunities.

Portfolio Management Assistance :

• Oversee the HNI loan portfolio, ensuring quality and profitability.
• Monitor and manage the performance of the HNI loan portfolio, including risk assessment and mitigation.
• Ensure compliance with internal policies and regulatory requirements.

Team Management:

• Lead and manage the HNI sales team, providing guidance and support to achieve business objectives.
• Conduct regular performance evaluations and provide constructive feedback to team members.
• Foster a culture of excellence, collaboration, and continuous improvement within the team.

Requirements

• Bachelor’s degree in Business Administration, Marketing, Finance, or a related field.
• Relevant professional certifications or Master’s degree is an added advantage.
• Minimum of 5-7 years in sales management, preferably in personal loans or financial services, with a focus on high-net-worth clients.
• Proven track record of achieving sales targets and managing client relationships.
• High proficiency in sales techniques and customer relationship management