Senior Data Scientist
Senior Data Scientist
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Job Description
What we are looking for
We are looking for a Senior Data Scientist to join our Data Team as we continue to build out our Credit Scoring Capabilities and Data ytics functions. Reporting to the Head of Data you will be a highly ytical and detailoriented professional pionate about developing and maintaining credit risk models. You understand how data can transform customer access to products and the decisionmaking power it holds. You will play a pivotal role in designing and maintaining scalable data pipelines and will contribute significantly to our data initiatives. Your responsibilities will include leading the development and maintenance of credit risk models overseeing predictive ytics projects and conducting advanced data ysis to uncover insights that drive our business forward.
What does the job involve
- Collaborate with 3rd party partners on credit scoring modeling and evaluation of our lending product portfolio
- Develop credit risk models using advanced statistical and machine learning techniques
- yze credit data to identify patterns and trends that inform our credit decisionmaking processes
- Work closely with data engineering and software engineering teams to ensure efficient data collection processing and storage
- Develop predictive models for credit risk essment fraud detection and other business use cases
- Monitor and yze the performance of credit risk models and recommend improvements
- Create and maintain data dashboards and reports to communicate insights to stakeholders
- Stay current with new technologies and trends in data science and credit scoring
- Mentor junior data scientists within the team
- Support the Head of Data in driving the data strategy aligned with business goals
Qualifications
- Masters degree in Computer Science Statistics Mathematics or a related field
- Minimum of 5 years of experience in data science or a related field
- Strong proficiency in programming languages such as Python or R
- Expertise in statistical and machine learning techniques including logistic regression decision trees random forests gradient boosting machines neural networks etc.
- Experience with data visualization tools such as Tableau or Power BI
- Indepth knowledge of credit risk models regulations and industry best practices
- Excellent communication and collaboration ss
- Experience with cloud platforms such as AWS or Azure is a plus
- Proficient in Microsoft Excel and PowerPoint
- Experience in mentoring junior team members is a plus
Benefits
- Competitive Salary
Employment Type
Full Time
