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ResponsibilitiesEssential Functions:
- Strong analytical skills and compliance domain knowledge, with the ability to conduct large scale data analysis through all stages: understand business goal and strategy, formulate analytic approaches, perform data extraction and exploration, and translate results into actionable items
- Expertise in advanced techniques (Machine learning, natural language processing, deep learning), including exposure to Generative AI technologies and their applications. Experience with Python libraries such as pandas, numpy, matplot and Scikit
- Deployment of high-performance scalable AI/machine learning (ML) algorithms for building transaction monitoring and risk scoring solutions to improve the quality of alerts and investigation process
- Conduct periodic tuning of statistical and machine learning models using large-scale datasets to optimize models for performance, efficiency, and robustness
- Well versed with Compliance risk typologies and rules. Good knowledge and deployment experience of rules and typologies
- Design and conduct experiments to evaluate the model performance using appropriate metrics and statistical analysis to measure and interpret results
- Supervise and work with the Model Risk Management team as an independent contributor to support model validations across multiple business entities. Ensure the accuracy, reliability, and compliance of models by overseeing and conducting thorough validations
- Collaborate with internal stakeholders across business units and regulated entities to enhance alignment in implementing MRM policy/standards and promote MRM best practices
Prepare technical documentation, including model architecture, implementation details and model methodology. Review model reports and communicate findings, insights, and recommendations to both technology and business stakeholders
QualificationsQualifications
Basic Qualifications:
∙ Bachelor's/Master’s Degree in Engineering, Economics, Statistics, Mathematics, or related technical discipline
∙ At least 8 years of experience in data science, analysis, reporting, statistical analysis, research, data mining, trend analysis etc.
∙ At least 8 years of experience in machine learning model development and implementation using tools like SAS, SQL, Python/R , Hive and/or Spark
∙ Building predictive and descriptive statistical models using AI/ML algorithms (e.g., logistic regression, random forests, SVMs, XGBoost, CNNs/RNNs)
∙ Compliance domain knowledge primarily for transaction monitoring, screening and client due diligence
∙ Excellent knowledge of database management, data extraction and data manipulation skills
∙ Superior communication, business writing and stakeholder management skills
∙ Self-motivated and proactive in talking to business partners/clients to identify and understand problem statements
∙ Passionate about building end-user experiences that deliver measurable value without increasing complexity
∙ Willing to work on a flexible schedule across different time zones
Skills Required
- Bachelor's or Master's degree in Engineering, Economics, Statistics, Mathematics, or related technical discipline
- At least 8 years experience in data science, statistical analysis, data mining, reporting or trend analysis
- At least 8 years experience in machine learning model development and implementation using SAS, SQL, Python/R, Hive and/or Spark
- Experience building predictive and descriptive models using algorithms such as logistic regression, random forests, SVMs, XGBoost, CNNs/RNNs
- Strong expertise in ML, NLP, deep learning and exposure to Generative AI technologies
- Experience with Python libraries such as pandas, numpy, matplotlib, and scikit-learn
- Compliance domain knowledge for transaction monitoring, screening and client due diligence
- Experience deploying high-performance, scalable ML/AI algorithms for transaction monitoring and risk scoring
- Experience supporting or supervising Model Risk Management and conducting model validations
- Excellent database management, data extraction and data manipulation skills
- Superior communication, business writing and stakeholder management skills
- Willingness to work a flexible schedule across different time zones
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
