AVP - Decision Science - Machine Learning Modeling - Financial Services

Our client is a leading financial services firm with global presence, has an opportunity in their Decision Sciences modeling team. Good understanding of Consumer Banking products - Cards, Home loan, Auto loan and lease, SME portfolio is required.

- He will a part of the Core Modelling team, will develop and manage models for critical business-oriented decisions including acquisition of new accounts, management of accounts (line increase, decrease etc.), collection of accounts, fraud management etc using largely Machine learning (and in places traditional) modeling techniques.

Responsibilities :

- Own end-to-end risk model development efforts within Core Modeling using advanced statistical/mathematical techniques like regression, XG Boost, Neural nets, SVM or other traditional modeling/ Machine learning methods.

- Liasoning with Different Stakeholders in the risk development areas

- Will be working on multiple projects with modeling teams

Qualifications :

- 6+ years- statistical model development/ Machine learning model development experience in a deeply quantitative role

- Candidate from financial services industry or Fintech's

- Worked on Tools such as SAS Or and data-mining procedures

- Good to have Python, Spark, Hive, Scala, Big Data, Hadoop, Keras, Scikitlearn etc work experience

- A Master's or Ph.D. Degree in a technical or quantitative field such as Statistics, Economics, Finance, Mathematics, Computer Science, Engineering from Top-Tier university like IIT, IIM, IISc, ISI, IGIDR etc

- Strong analytical, technical and statistical skills.

- Proficient with advanced analytical tools and techniques.

- Hands-on experience in ML techniques a plus