Bulge Bracket Investment Banks

Posted 14 days ago

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**Fraud Prevention Strategy - Data Analytics Associate (Mumbai, India)**: Analyze complex data to define fraud strategies, reducing losses and enhancing customer experience. Key responsibilities include interpreting data to drive strategy, applying advanced analytics, collaborating cross-functionally, and championing tech adoption like large language models. Proficient in Python, SAS, SQL, with a bachelor's degree (or 3+ years' experience) in a quantitative field. Support critical projects with clear, concise communication across functions and levels. Strong analytical, problem-solving, and interpersonal skills required.

Compensation: Not specified
City: Mumbai
Country: India

Full Job Description

Location: Mumbai, Maharashtra, India

Make your mark protecting customers by turning complex analytics into fraud strategy, with strong growth and mobility opportunities.

As a Quantitative Analytics Associate within the Fraud Prevention Optimization Strategy team, you reduce fraud losses and operating expenses while balancing customer impact by optimizing business processes and decisioning. You deliver complex analyses paired with business insight, collaborate with cross-functional partners, and present conclusions succinctly to managers and executives. You leverage advanced analytics and tools such as large language models to drive sustainable, scalable business improvements.

Job Responsibilities:

Interpret complex data to define problem statements and deliver concise conclusions on risk dynamics, trends, and opportunities

Apply advanced analytical and mathematical techniques to solve complex business problems

Develop, communicate, implement, and manage fraud strategies to reduce fraud-related losses and improve customer experience across the credit card fraud lifecycle

Identify key risk indicators, define and enhance key metrics and reporting, and uncover new areas of analytic focus to challenge current business practices

Provide data insights and performance updates to business partners

Collaborate with cross-functional partners to solve key business challenges

Support critical projects with clear, concise verbal and written communication across functions and levels

Champion the use of modern technology and tools, such as large language models, to drive value at scale

Required qualifications, skills, and capabilities:

Bachelors degree in engineering, statistics, mathematics, or another quantitative field, or 3+ years of risk management or other quantitative experience

Proficiency in Python, SAS, and SQL

Ability to query large datasets and translate results into actionable recommendations

Strong analytical and problem-solving skills

Experience delivering recommendations to leadership

Self-starter with the ability to execute quickly and effectively

Strong communication and interpersonal skills, with the ability to partner across departments and functions and with senior-level leaders

Preferred qualifications, skills, and capabilities:

Masters degree in a quantitative field, or 4+ years of risk management or other quantitative experience

Hands-on knowledge of Amazon Web Services and Snowflake

Experience applying machine learning, large language model prompting, or natural language processing techniques

Drive fraud loss reduction through advanced analytics and strategy that improves customer experience.

Full Job Description