Credit Scoring & Data Scientist
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The Credit Scoring & Data Scientist at Adehyeman Savings and Loans in Accra develops and optimizes credit scoring models to support lending decisions. The role requires 5+ years experience in data science and credit risk modeling, with proficiency in Python, R, or Java. This full-time mid-level position offers an attractive salary.
- Develop predictive credit scoring models using statistical and ML techniques
- Minimum 5 years experience with 2 years in leadership capacity
- Proficiency in Python, R, or Java required
Description
Find a Job + + + + Search Credit Scoring & Data Scientist Adehyeman Savings and Loans Limited Accounting, Auditing & Finance 1 month ago Easy apply Accra & Tema Region Full Time Banking, Finance & Insurance Confidential Share link Share on WhatsApp Share on LinkedIn Share on Facebook Share on Twitter Share via SMS Job summary The Credit Scoring & Data Scientist is responsible for developing, validating, and optimizing credit scoring models and data-driven solutions to support lending decisions and risk management. The role involves analyzing large datasets, building predictive models, monitoring portfolio performance, and generating insights that improve credit quality, customer acquisition, and overall business performance. Min Qualification: Degree Experience Level: Mid level Experience Length: 5 years Language Requirement: English Working Hours: Full Time - 8 to 5 Applicant Location: Accra & Tema Region, Ghana Job descriptions & requirements Responsibilities: Develop, implement, and maintain credit scoring models (PD, scorecards, ML models) to predict customer default risk. Design and build statistical and machine learning models using techniques such as regression, decision trees, and neural networks. Enhance underwriting models to improve loan approval accuracy and risk segmentation. Validate models to ensure accuracy, stability, and regulatory compliance. Analyze customer behavior, transaction history, and alternative data sources to identify credit risk patterns. Develop dashboards, reports, and insights to support credit decision-making. Develop metrics and dashboards to monitor the performance of the deploye Establish machine learning solutions in existing business systems and workflows. Requirements Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or related field. Minimum of 5 years’ experience in data science or analytics and credit risk modeling roles with at least 2 years in a leadership capacity. Experience in a financial institution will be an advantage. Proficiency in programming languages such as Python, R, or Java. Familiarity with cloud platforms (AWS, GCP, Azure) and data visualization tools (e.g., Tableau, Power BI) Location : Accra Salary : Attractive Log In and Apply Important safety tips Do not make any payment without confirming with the Jobberman Customer Support Team. If you think this advert is not genuine, please report it via the Report Job link below. Report Job Log in to apply now Continue with Google Continue with Linkedin Or continue with Forgot Password? Keep me logged in Log in Don't have an account? Sign Up to Apply Share link Share on WhatsApp Share on LinkedIn Share on Facebook Share on Twitter Share via SMS Activate Notifications Stay productive - get the latest updates on Jobs & News Activate Deactivate Notifications Stop receiving the latest updates on Jobs & News Deactivate This action will pause all job alerts. Are you sure? Cancel Proceed Similar jobs Lorem ipsum dolor sit amet consectetur adipiscing elit Lorem ipsum Lorem ipsum dolor (Location) Lorem ipsum Confidential 3 years ago Lorem ipsum dolor sit amet consectetur adipiscing elit Lorem ipsum Lorem ipsum dolor (Location) Lorem ipsum Confidential 3 years ago View More Stay Updated Join our newsletter and get the latest job listings and career insights delivered straight to your inbox. v2.homepage.newsletter_signup.choose_type Jobseeker Employer Email address * We care about the protection of your data. Read our Notify Me We care about the protection of your data. Read our privacy policy .