Fraud Strategy Manager

EY; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

EY in Hyderabad seeks a Manager-FS-Tech Consulting-CNS to lead fraud strategy initiatives, overseeing analytics and risk assessment.

The role requires 10+ years in fraud strategy or data science, strong SQL/Python skills, and experience with Hive, Spark, and AWS Sagemaker to build scalable analytical solutions.

Qualifications

• Minimum 10 years of experience in fraud strategy or fraud data science.
• Understanding of statistical methods including statistics, probability, econometrics, and time-series analysis.
• Strong familiarity with data extraction in environments like SQL. Working knowledge of Python, Hive, Spark, AWS Sagemaker.
• Graduate degree preferred.

Responsibilities

• Lead the development of fraud strategies in fraud prevention systems.
• Independently perform sophisticated data analytics using structured and unstructured data.
• Leverage analytics and statistics to determine risk and develop success plans.
• Collect, analyze, and communicate statistics related to daily fraud mitigation operations to stakeholders.
• Lead and analyze processes, products and validate scalable analyses.
• Develop a technology strategy and manage vendor relationships supporting analytical delivery.

Skills

Fraud strategy

Python

SQL

Data analytics

Statistics

Hive

Spark

AWS Sagemaker

Education

B.Tech CS

B.Tech Mechanical

BE Electrical

Tools

Python

SQL

Hive

Spark

AWS Sagemaker

Job description

Job Summary

The opportunity: Manager-FS-Tech Consulting-CNS - TC - fraud strategy - Hyderabad.

Responsibilities

• fraud strategy with 10 yrs exp, Hyderabad (python, sql is must)

Qualifications

• Bachelor of Technology in Computer Science
• Bachelor of Technology in Mechanical Engineering
• Bachelor of Engineering in Electrical

Experience

• Minimum of 10 years related work experience in fraud strategy or fraud data science field.
• Understanding of statistical methods, including classical statistics, probability theory, econometrics, and time-series analysis.
• Strong familiarity with data extraction in environments like SQL. Working knowledge of Python, Hive, Spark, AWS Sagemaker.
• Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
• Lead development of fraud strategies in fraud prevention systems
• Independently perform sophisticated data analytics using structured and unstructured data
• Leverages deep analytics and statistics knowledge to determine risk, and develop plans for success
• Collects, analyzes, and communicates statistics related to daily fraud mitigation operations to stakeholders
• Leads and analyzes processes, products and reviews the validation of scalable analyses
• Develops a technology strategy and manages vendor relationships supporting the delivery of analytical capabilities

What we look for

People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful, and able to sustain positive energy, while being adaptable and creative in their approach.

Key Skills

fraud strategy, python, sql, data analytics, statistics, Hive, Spark, AWS Sagemaker, fraud data science