Manager/Senior Manager - Portfolio Monitoring - BFSI - IIT/NIT/BITS

Job Description : In this role, you will be expected to work in our Portfolio Monitoring and Intelligence team, as well as with our internal analytics, technology, product and policy partners to deploy advanced analytical solutions with the goal of developing algorithms for anomaly detection on a portfolio level with the goal of reducing fraud losses, reducing false positive declines at the point-of-sale, improving client experience, and ensuring the Bank minimizes its total cost of fraud.

Responsibilities : In this role, you will be expected to work with our lead data scientist and the team executive as well as our internal analytics, technology, product, and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, reducing false positive declines at the point-of-sale, improving client experience, and ensuring the Bank minimizes its total cost of fraud. Some tasks that this role may be responsible for include (but are not limited to):

- Development and optimization of algorithms to detect anomalies in portfolio level behavior.

- Analysis of the emerging threats, in collaboration with Strategy and Policy partners, and expansion/refinement of the monitoring for known high risk behaviors.

- Design and implementation of visual dashboards supporting anomaly detection alerting process

- Assist with the deployments of the monitoring algorithms in coordination with various Tech partners.

- Work with Data Science team on development of the advanced anomaly detection techniques, including unsupervised machine learning.

- Initial triage of the monitoring alerts to understand the drivers behind the anomalous behavior.

- Hands on experience in SAS, PySpark and Hive

- Strong SQL skills with commensurate experience in a large database platform

- A strong willingness to learn new technologies and ability to think critically.

- Robotic process automation to reduce the need for manual, repeatable processes

- In addition, the role will be expected to work with the lead data scientist and the team executive and stakeholders to help develop the data strategy for client protection to ensure the organization has the proper data to make the right decisions, with a priority on data availability in real-time, and generating true customer-level views able to make intelligent fraud decisions leveraging the entirety of our interactions with a customer.

Requirements :

Education :

- Advanced degree, preferably in Applied Sciences, Engineering from a premier institute

- Technical certifications in SAS, Spark, SQL, Python preferred.

Experience :

- 3- 8 years of relevant experience in similar field

- SAS, Hive, PySpark, SQL, data analytics and Python

- Good experience in working with Tableau or other visualization tools; ability to present complex data in clean format, which allows analysts and senior managers to quickly identify trends and make informed decisions.

- U.S financial services experience preferable

- Understanding of business domains like Fraud/Compliance/Risk preferable.