- In this role candidate will be primarily responsible to build (develop/test/validate) statistical/ML models, optimization solutions, inference techniques for risk management, marketing and customer acquisition/management to create significant business impact.
Client Details :
Client is USA based "buy now, pay later" platform gives savvy shoppers more freedom and flexibility to pay later anywhere. Together with with parent, the company serves over 4.5 million customers and 30,000 merchants, with $3bn in annual payments globally.
Description :
- 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
Profile :
- Degree in computer science, Mathematics, Statistics or Engineering from a premier institution
- Minimum 6 years of experience with 2 years of experience in BFSI.
- 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
Good to have :
- 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
Job Offer :
- Opportunity to work with a major global player in the consumer 'buy now pay later' segment
- To apply online please click the 'Apply' button below.