Job
Description
Roles and Responsibilities
Roles & Responsibilities:
- Build (develop/test/validate) statistical/ML models, optimization solutions, inference techniques for risk management, marketing and customer acquisition/management to create significant business impact.
- Extract and explore data, validate data integrity, perform ad hoc analysis, evaluate new data sources to improve models.
- Maintain robust documentation of approach and techniques use -including objectives, assumptions, performance, weaknesses and limitations.
- Be ready to adapt to new tools/libraries/technologies/platforms.
- Actively partner with different development groups inside of the organization.
- Further develop expertise in statistical learning through self-study, project exposure and guidance of senior team members.
- Work with Agile Scrum frameworks following best practices to drive Epic/Feature/Story creation to drive solution design and development
Desired Candidate Profile
Qualifications
- Degree in computer science, Mathematics, Statistics or Engineering from a premier institution
- Minimum 6 years of experience with 2 years of experience in BFSI preferred
- Strong knowledge of SQL and at least one open-source statistical programming language (R, Python).
- Ability to work efficiently at scale and derive insights from large data sets.
- Experience with exploratory data analysis, statistical analysis and testing, and model development; rich experience in at least one production ready deployment of Machine Learning algorithms.
- Knowledge of underlying mathematical foundations of statistics, hypothesis testing, machine learning, optimization, and analytics
- Self-driven with an aptitude for independent research & problem solving
- Industry experience in risk management, payments, financial services & fraud management
Bonus Qualifications
- In depth knowledge of Machine Learning algorithms for NLP
- Experience in leading a team as a manager
- Experience using Azure platform
- Experience using PySpark/Scala for big data manipulation and processing
- Industry experience in risk management, payments, financial services & fraud management