Oxygen X Finance Company Limited Plc is a credit company backed by one of Africa’s largest Banking Groups, with a goal to build Africa’s largest consumer and SME lender. We aim to build the most accessible, convenient, digital credit solutions on the continent. We take our mission and our user’s challenges extremely seriously and are seeking brilliant, innovative, self-starters to join us on our journey.
The position
- We are looking for a Senior Data Scientist to lead the development of advanced analytics solutions, focusing on complex credit risk models and business optimization strategies. You will leverage your expertise in machine learning and statistical modeling to design, build, and deploy high-impact models that support strategic decisions. As a senior member of the team, you will also mentor junior data scientists, contribute to the establishment of best practices, and collaborate with cross-functional teams to deliver data-driven solutions.
In this role, you will
- Lead the development of credit scoring, collection prioritization, and risk assessment models using machine learning techniques
- Design and implement complex models for PD/LGD, customer segmentation and propensity models using advanced techniques.
- Develop methodologies for analyzing large-scale data sets, extracting meaningful insights to inform risk management strategies and lending decisions.
- Translate business requirements into robust data science solutions, collaborating closely with risk and business teams.
- Build and maintain performance monitoring and model governance frameworks to track model efficacy and ensure compliance with regulatory requirements.
- Conduct feature engineering, data wrangling, and model tuning to optimize model performance.
- Communicate results and insights to non-technical stakeholders through compelling visualizations and reports.
- Mentor and support the professional growth of junior team members, fostering a culture of continuous learning and knowledge sharing.
We are looking for people with
- 5+ years of hands-on experience in data science, with a focus on credit risk modeling, financial services, or fintech.
- Expertise in Python and SQL, with advanced proficiency in machine learning frameworks.
- Proven track record of deploying machine learning models in production environments, with a deep understanding of MLOps best practices.
- Strong understanding of credit risk metrics
- Experience with AWS,Databricks and large-scale data processing tools
- Prior experience in a fintech or lending environment.
- Familiarity with NLP, text mining, and advanced data visualization techniques.
- Strong project management skills and experience leading complex data science initiatives.
Method of Application
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