Fraud Analyst

3one4 Capital

India

On-site

INR 900,000 - 1,350,000

Full time

14 days+

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Job summary

Jupiter is seeking a detail-oriented Fraud Analyst to detect, investigate, and prevent fraudulent activity across its platform. You will analyze transactions, review user profiles and patterns, and collaborate with internal teams to implement effective fraud prevention measures.

The role requires strong analytical thinking, excellent communication, and the ability to work under pressure in a fast-paced financial technology environment.

Qualifications

  • Bachelor's degree in Finance, Business, Statistics, Computer Science, or a related field.
  • Proven experience as a Fraud Analyst, Risk Analyst, or similar role.
  • Strong analytical and problem-solving skills.
  • Proficiency in Excel, SQL, or analytics tools (preferred).
  • Knowledge of fraud detection systems, chargeback processes, and risk assessment methods.
  • Excellent written and verbal communication skills.
  • High attention to detail and ability to manage multiple cases simultaneously.
  • Ability to work in a high-pressure environment with tight deadlines.

Responsibilities

  • Investigate, analyze, and mitigate fraudulent transactions within the Jupiter platform.
  • Review and analyze user profiles, transaction patterns, and account activities to identify potential fraudulent behavior.
  • Complaints and cases are reviewed on the MHA Portal, ensuring data integrity and compliance with regulatory standards.
  • Collaborate with cross-functional teams, customer support, and product teams to streamline the fraud detection process.
  • Liaise with law enforcement agencies and police officials to resolve complex fraud cases and initiate legal actions when required.
  • MIS handling and presentation skills are a must.

Skills

Analytical skills
Problem-solving
Excel
SQL
Communication
Attention to detail
Ability to work under pressure

Education

Bachelor's degree in Finance, Business, Statistics, Computer Science, or related field

Tools

Excel
SQL

Job description

Who we are :

Money. A subject that is always on our mind. We go through a rollercoaster of emotions when it comes to money. That is why at Jupiter, our mission is to enable people to improve their relationship with money.

We are a financial services platform that leverages technology to offer our customers seamless and user-friendly products related to banking, loans, and investments. So whether it is a savings account, credit cards, investment and payments, its all on Jupiter. We also help users cut through the banking jargons, offer smart insights based on spending and provide users with a range of new age features to enable and make sense of their finances.

Our journey so far:

Jupiter was founded in 2019 by Jitendra Gupta. Best known as Citrus Pay's founder, Jiten found himself wondering why personal finance experiences were not customer-centric when everything else like food ordering and entertainment were. That is how our journey began in 2019, with a simple, powerful idea : to create a modern, customer-centric experience that empowers individuals when it is about their money.

From our humble beginnings, we've strived relentlessly to make managing money easier. In 2021 when we launched we had a waitlist with over 100,000 people eager to experience the world of Jupiter - and within 10 months we crossed 1 million users. Today, we have 2.7 million + happy users on Jupiter.

Our Insights feature today tells how much and where you've been spending automatically, even on your other savings accounts! Our Edge CSB Bank RuPay credit card is getting a lot of love for its head-turning transparent design, not to mention it being a rewarding experience. Our No-Penalty SIP and Daily SIP at Rs 10/- has helped scale our investments business and we have over 100,000 users investing on our platform to fulfill their money aspirations.

We've embraced cutting-edge technology, harnessed the power of data analytics, and assembled a diverse team of creative thinkers and industry experts who share our vision for a more accessible, transparent, and inclusive financial ecosystem. We're now looking for like-minded folks to join the crew.

Who we're looking for:

We are seeking a detail-oriented and analytical Fraud Analyst to identify, investigate, and prevent fraudulent activities across our operations. The ideal candidate will analyze transactions, detect suspicious patterns, and collaborate with internal teams to implement effective fraud prevention strategies. This role requires strong analytical thinking, excellent communication skills, and the ability to work under pressure.

Roles and Responsibilities:
  • Investigate, analyze, and mitigate fraudulent transactions within the Jupiter platform.
  • Review and analyze use as profiles, transaction patterns, and account activities to identify potential fraudulent behavior.
  • Complaints and cases are reviewed on the MHA Portal, ensuring data integrity and compliance with regulatory standards.
  • Collaborate with cross-functional teams, customer support, and product teams to streamline the fraud detection process.
  • Liaise with law enforcement agencies and police officials to resolve complex fraud cases and initiate legal actions when required.
  • MIS handling and presentation skills are a must.
What is needed for this role:
  • Bachelor's degree in Finance, Business, Statistics, Computer Science, or a related field.
  • Proven experience as a Fraud Analyst, Risk Analyst, or similar role.
  • Strong analytical and problem-solving skills.
  • Proficiency in Excel, SQL, or analytics tools (preferred).
  • Knowledge of fraud detection systems, chargeback processes, and risk assessment methods.
  • Excellent written and verbal communication skills.
  • High attention to detail and ability to manage multiple cases simultaneously.
  • Ability to work in a high-pressure environment with tight deadlines.
Brownie Points for:
  • Experience mentoring juniors or managing agency/vendor partners.
  • Exposure to credit or payment products and their risk/compliance nuances.
  • Familiarity with predictive models (churn or upsell propensity) and large-scale marketing automation.
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