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As a Quantitative Analytics Analyst on the Consumer and Community Banking Fraud Prevention Optimization Strategy team at JPMorgan Chase, you will play a crucial role in reducing the cost of fraud and enhancing customer experience. Your dedication and analytical skills will be instrumental in formulating problem statements, analyzing complex data, and implementing optimal fraud strategies. Here is an overview of what you can expect in this role:

**Role Overview:**
In this role, you will be responsible for interpreting and analyzing complex data to identify underlying risk dynamics, trends, and opportunities. Your focus will be on reducing fraud-related losses and improving customer experience by developing and implementing optimal fraud strategies across the credit card fraud lifecycle.

**Key Responsibilities:**
- Formulate problem statements and provide concise conclusions based on data analysis
- Utilize advanced analytical and mathematical techniques to solve complex business problems
- Develop and communicate optimal fraud strategies to reduce losses and enhance customer experience
- Identify key risk indicators, develop metrics, and enhance reporting to challenge current business practices
- Collaborate with cross-functional partners to address key business challenges
- Provide data insights and performance updates to business partners
- Champion the use of the latest technology and tools to drive value across the organization

**Qualifications Required:**
- Bachelors degree in a quantitative field or 1 year of risk management or quantitative experience
- Background in Engineering, statistics, mathematics, or another quantitative field
- Advanced proficiency in Python, SAS, or SQL
- Solid analytical and problem-solving abilities
- Experience delivering recommendations to leadership




- Strong communication and interpersonal skills
- Ability to interact effectively across departments and functions

**Preferred Qualifications:**
- MS degree in a quantitative field or 2 or more years of risk management or quantitative experience
- Hands-on knowledge of AWS and Snowflake
- Familiarity with advanced analytical techniques like Machine Learning or Natural Language Processing

Joining JPMorgan Chase means being part of one of the oldest financial institutions that values diversity, inclusion, and equal opportunities for all. With a history spanning over 200 years, the company is a leader in various financial services sectors, including investment banking, commercial banking, and asset management.

As an equal opportunity employer, JPMorgan Chase does not discriminate based on any protected attribute. The company values the diverse talents of its global workforce and ensures that reasonable accommodations are made for individuals based on their needs and beliefs.

Please note that this position is at a Senior Level. As a Quantitative Analytics Analyst on the Consumer and Community Banking Fraud Prevention Optimization Strategy team at JPMorgan Chase, you will play a crucial role in reducing the cost of fraud and enhancing customer experience. Your dedication and analytical skills will be instrumental in formulating problem statements, analyzing complex data, and implementing optimal fraud strategies.



Here is an overview of what you can expect in this role:

**Role Overview:**
In this role, you will be responsible for interpreting and analyzing complex data to identify underlying risk dynamics, trends, and opportunities. Your focus will be on reducing fraud-related losses and improving customer experience by developing and implementing optimal fraud strategies across the credit card fraud lifecycle.

**Key Responsibilities:**
- Formulate problem statements and provide concise conclusions based on data analysis
- Utilize advanced analytical and mathematical techniques to solve complex business problems
- Develop and communicate optimal fraud strategies to reduce losses and enhance customer experience
- Identify key risk indicators, develop metrics, and enhance reporting to challenge current business practices
- Collaborate with cross-functional partners to address key business challenges
- Provide data insights and performance updates to business partners
- Champion the use of the latest technology and tools to drive value across the organization

**Qualifications Required:**
- Bachelors degree in a quantitative field or 1 year of risk management or quantitative experience
- Background in Engineering, statistics, mathematics, or another quantitative field
- Advanced proficiency in Python, SAS, or SQL
- Strong analytical and problem-solving abilities
- Experience delivering recommendations to leadership
- Strong communication and interpersonal skills
- Ability to interact effectively across departments and functions

**Preferred Qualifications:**
- MS degree in a quantitative field or 2 or more years of risk management or quantitative experience
- Hands-on knowledge of AWS and Snowflake
- Familiarity with advanc

Apply on Kit Job: kitjob.in/job/46ouqr

📌 Quantitative Analytics Analyst - Fraud Prevention and Risk Management (India)
🏢 JP Morgan Services India
📍 India