Lead Decision Scientist
Lead Decision Scientist
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1 Vacancy
Job Description
Job Description
Our client a prominent player in the banking sector is renowned for its innovative approach to providing financial services. They are committed to delivering exceptional service and creating opportunities for growth and development. The company fosters a dynamic work environment where employees are encouraged to thrive and make a significant impact.
Are you an energetic selfmotivated individual with a passion for data science and credit risk management Join our clients team as a Lead Decision Scientist and be at the forefront of transforming business data into strategic insights. This role offers a unique opportunity to lead a team of specialists and drive the development of innovative solutions within the Collections Recoveries and Account Management functions.
Responsibilities:
- Lead a team within the Credit Decision Science function focusing on Collections Recoveries and Account Management.
- Conduct data analysis to produce strategic information for critical credit and risk indicators.
- Extract and aggregate data from large relational databases.
- Implement data mining and predictive modeling techniques.
- Translate user requirements into business requirement specifications.
- Ensure confidentiality and manage intellectual property considerations.
Requirements:
- Experience:
- Minimum 4 years in data science within the retail credit risk management environment.
- Experience in extracting and aggregating data data mining and predictive modeling.
- Demonstrated leadership in project management or leading analyst/data scientist teams.
- Qualifications:
- Minimum: Honours Degree in Mathematics or Data Science.
- Preferred: Masters Degree in Mathematics or Data Science.
- Knowledge:
- Analytics and predictive modeling.
- Project management methodologies.
- IT implementation cycles and various operating systems/databases.
- Best practices in credit risk.
- General business acumen and interpretation of user requirements.
- Skills:
- Strong communication and numerical reasoning skills.
- Analytical and reporting skills.
- Proficiency in programming languages such as SAS SQL R and Python.
- Attention to detail and commercial thinking.
- Excellent interpersonal and leadership skills.
- Conditions of Employment:
- Clear criminal and credit record.
- Commitment to diversity and employment equity goals.
Employment Type
Full-Time
