Job Summary
The primary function of this role is to spearhead the complete process of creating and implementing machine learning models focused on credit risk assessment, fraud prevention, and customer segmentation. The position necessitates collaboration with diverse teams to convert challenges within the banking sector into effective data-centric solutions, all while offering guidance and technical leadership to junior data science professionals.
Responsibilities
- Oversee the entire lifecycle of machine learning model development and deployment.
- Engage with cross-functional teams to address and translate banking-related challenges into data-driven strategies.
- Provide mentorship and technical direction to less experienced data scientists.
- Implement solutions in areas like credit risk, fraud detection, and customer segmentation.
Qualifications
- At least 9 years of hands-on experience in applied machine learning within the banking or financial services sector.
- Master’s degree or higher in a quantitative discipline.
- Proficient in programming languages such as Python and SQL.
- Strong background in advanced statistical modeling techniques.
EXL provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
