Credit Risk Data Scientist at TeKnowledge

At TeKnowledge, we turn complexity into clarity – and potential into progress. We go beyond problem-solving to transform how you grow. By blending cutting-edge technology with expert insight, we help enterprises, governments and tech vendors tackle their biggest challenges while preparing them for what’s next. From strategy to execution, we drive smarter, faster, and more sustained innovation—empowering organizations with the capability and control to lead with confidence.

We are recruiting to fill the position below:

Job Title: Credit Risk Data Scientist

Req ID: 17330
Location: Victoria Island, Lagos

Overview

• The Credit Risk Data Scientist will be responsible for developing, validating, and maintaining credit risk models (including PD models) to support risk management and regulatory compliance. 
• The role will collaborate with business stakeholders, IT teams, data engineers, and MLOps teams to deliver scalable, production-ready risk models and monitoring frameworks that drive informed business decisions and ensure model governance compliance across the model lifecycle.
• At TeKnowledge, your work makes an impact from day one. We partner with organizations to deliver AI-First Expert Technology Services that drive meaningful impact in AI, Customer Experience, and Cybersecurity. We turn complexity into clarity and potential into progress—in a place where people lead and tech empowers.
• You’ll be part of a diverse and inclusive team where trust, teamwork, and shared success fuel everything we do. We push boundaries, using advanced technologies to solve complex challenges for clients around the world.
• Here, your work drives real change, and your ideas help shape the future of technology. We invest in you with top-tier training, mentorship, and career development—ensuring you stay ahead in an ever-evolving world.

Responsibilities

• Develop, validate, and maintain PD and other credit risk models with proper documentation and performance evaluation
• Perform exploratory data analysis, feature engineering, and model experimentation using Python and Jupyter notebooks
• Prepare, transform, and analyze data using Python and advanced SQL
• Collaborate with business stakeholders and IT teams to gather requirements and communicate model insights
• Partner with data engineers and MLOps teams to package and deploy models into production
• Implement and maintain model monitoring frameworks (data drift detection, stability metrics, performance tracking)
• Design and maintain cloud-based workflows using Python, SQL, and Azure services to automate analytics pipelines
• Ensure compliance with model governance, regulatory standards, and internal risk policies across the model lifecycle
• Refactor and optimize model code for readability, scalability, modularity, and performance
• Support CI/CD pipelines for model development and deployment

Qualifications

• Bachelor’s Degree (required) in Data Science, Machine Learning, Artificial Intelligence, Statistics, Economics, Finance, Mathematics, Computer Science, Software Engineering, or a related technical field
• Master’s Degree or higher preferred
• Technical Degree required.
• 5 - 9 years of experience, with 6+ years developing PD and other credit risk models in financial institutions
• Hands-on experience in statistical modeling and machine learning techniques
• Strong proficiency in Python, including modeling using Jupyter notebooks and native Azure tools
• Advanced SQL skills for data querying and transformation
• Experience working with MLOps teams and supporting model deployment
• Hands-on experience in model monitoring frameworks (drift detection, stability metrics, performance tracking)
• Experience with Azure services (Azure ML, Azure Functions, CI/CD pipelines)
• Experience refactoring and optimizing model code for performance and modularity
• Professional-level English.

Why You’ll Enjoy It Here

• Be Part of Something Big – A growing company where your contributions matter.
• Make an Immediate Impact – Support groundbreaking technologies with real-world results.
• Work on Cutting-Edge Tech – AI, cybersecurity, and next-gen digital solutions.
• Thrive in an Inclusive Team – A culture built on trust, collaboration, and respect.
• We Care – Integrity, empathy, and purpose guide every decision.
• We’re looking for innovators, problem-solvers, and experts ready to drive change and grow with us.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online