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About the Role
We are seeking a highly skilled and experienced Machine Learning Modeling Lead - Credit Modeling to join our ML Model Innovation team within the banking/fintech domain. The role involves leading the development and deployment of machine learning models for key business decisions like collections, credit risk scoring, fraud detection, customer segmentation, and personalized financial services. The individual will collaborate with cross-functional teams and provide technical leadership.
Responsibilities
- Lead end-to-end ML solution development and innovation from data exploration, feature engineering, model development, validation, deployment, and monitoring.
- Develop robust models that drive business benefits.
- Support and review junior scientist submissions and share enhancement suggestions.
- Responsible for documentation/documentation reviews, model reviews, and submission.
- Manage queries raised by Validation teams for the model.
- Collaborate with implementation teams to deploy models into production environments (cloud or on premises).
- Work closely with business stakeholders to translate banking domain challenges into data-driven solutions.
- Guide junior data scientists and engineers on best practices in model development.
- Continuously evaluate new tools, technologies, and frameworks relevant to ML in finance.
- Publish internal research and promote a culture of innovation and experimentation.
Requirements
- Strong business knowledge of banking analytics across the retail banking customer lifecycle.
- 12+ years of experience in applied machine learning model development in the banking or financial services domain.
- Hands-on experience leading ML projects and teams.
- Strong experience with model development, deployment, and monitoring in production environments.
- Familiarity with collections, underwriting, fraud, and ethical considerations in banking ML models.
- Demonstrable leadership ability, superior problem-solving, and people management skills.
Skills
- Expert in Python, SQL, ML libraries (Numpy, Pandas, Scikit-learn, TensorFlow, PyTorch) and techniques (Regression, Decision Trees, Ensembles: XGBoost, GBM, Random Forest, Unsupervised Learning, etc.).
- Knowledge of MLOps frameworks (MLflow, Kubeflow, Airflow, Docker, Kubernetes) is an added benefit.
- Strong grasp of statistical modeling, optimization, and deep learning techniques.
- Excellent communication skills and ability to explain complex concepts to non-technical stakeholders.
Experience Level
- 12+ years of experience
Education Level
- Master’s or Similar in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative field
Salary/Compensations
- USD $202,000 - $280,000 per year
Benefits
- Exciting, fast-paced, and innovative environment.
- Opportunity to work closely with highly experienced, world-class analytics consultants.
- Learn effective teamwork and time-management skills.
- Investment in training in all aspects of analytics and leading analytical tools and techniques.
- Guidance/coaching through a mentoring program with senior level advisors.
- Opportunities for growth and development.
About the Company
- EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions.
- From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants.
- You will learn effective teamwork and time-management skills - key aspects for personal and professional growth.
- Analytics requires different skill sets at different levels within the organization.
- At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.
- We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.
- Sky is the limit for our team members.
- The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.