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Process Overview*
ARQ supports global businesses of the Bank with solutions requiring judgment application, sound business understanding and analytical perspective. The domain experience in the areas of Risk Management, Loss Mitigation and Prospecting Support provide solutions for fraud loss reduction, risk mitigation and cost optimization. The division comprising of highly qualified associates operates from three locations i.e., Mumbai, Gurgaon & Hyderabad. We facilitate information advantage with Strategic/Analytical solutions across Bank by supporting multiple lines of business and control functions.
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.
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.
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
Requirements
Education –
Advanced degree, preferably in Applied Sciences, Engineering from a premier institute
Technical certifications in SAS, Spark, SQL, Python preferred.
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
Work Timings*
11: 30 AM to 8:30 PM, 12: 30 AM to 9:30 PM
Job Location*
Mumbai / Hyderabad / GIFT City
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