Applied AI ML Senior Associate - Card Risk Modeling

JobID: 210507085

Category: Associates

JobSchedule: Full time

Posted Date: 2024-05-07T15:08:21+00:00

JobShift:

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Are you interested in machine learning, big data and distributed computing with applications in credit card business.? This is a right opportunity for you!

Job Responsibilities -

• Design and develop machine learning models to drive impactful decisions for the card business throughout the customer lifecycle (e.g., acquisition, account management, transaction authorization, collection).

• Research, develop, document, implement, maintain, and support tools and frameworks for AI/ML model explainability and fairness.

• Utilize cutting-edge machine learning approaches and construct sophisticated machine learning models including deep learning architectures on big data platforms.

• Work closely with the senior management team to develop ambitious, innovative modeling solutions and deliver them into production.

• Collaborate with various partners in marketing, risk, technology, model governance, research etc. throughout the entire modeling lifecycle (development, review, deployment, and use of the models)

Required qualification, capabilities and skills-

• Ph.D. or Master's degree from an accredited university in a quantitative field such as Computer Science, Mathematics, Statistics, Econometrics, or Engineering

• Demonstrated experience in designing, building, and deploying production quality machine learning models.

• Deep understanding of advanced machine learning algorithms (e.g., regressions, XGBoost, Deep Neural Network - CNN and RNN, Clustering, Recommendation) as well as design and tuning.

• Experience in interpreting machine learning models such as XGBoost, GBM, etc. Experience in interpreting deep learning models is a plus.

• At least one year of experience and proficiency in coding (e.g., Python, Tensorflow, Spark, or Scala) and big data technologies (e.g., Hadoop, Teradata, AWS cloud, Hive) .

Preferred qualification, capabilities and skills

• Strong expertise, interest, and track record of performing cutting-edge research on Explainable AI

• Experience in credit card industry with strong business acumen.

• Demonstrated expertise in data wrangling and model building on a distributed Spark computation environment (with stability, scalability and efficiency). GPU experience is desired.

• Strong ownership and execution; proven experience in implementing models in production