Fraud Risk Analyst Job Openings in Hyderabad 2025!!!
Warner Bros. Discovery announced job vacancy for the post of Fraud Risk Analyst. The place of posting will be at Hyderabad (Hybrid). Candidates who have completed Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows
Name of the Company |
Warner Bros. Discovery |
Required Qualifications |
Graduate |
Skills |
SQL, Tableau, PowerBI, Looker |
Position Type |
Entry Level |
Work Type |
Hybrid |
Warner
Bros. Discovery (WBD) is looking for a Fraud Risk Analyst to join the Global
Fraud & Abuse Operations Team to support in detecting and preventing risks
across all WBD properties which includes Max “The One to Watch”, Discovery+,
Harry Potter Studio Tours, DC Universe Infinite, and more. This team is at the
forefront of ensuring a seamless and frictionless experience for consumers
while protecting the revenue of the business. As a global unit, we are looking
for candidates across our many offices around the world to support in our fight
against fraud and abuse 24x7. A successful candidate will have a curious mind,
who thinks outside the box, and who enjoys solving complex problems with data.
If you have an interest in data analysis, investigations, stopping fraud, and,
most importantly, advocating for the consumer, then this role is “The One to
Apply”.
Θ Positions: Fraud Risk
Analyst
Θ Job
Location:
Hyderabad (Hybrid)
Θ Salary: As per
company Norms
Θ Job Type: Full Time
Θ Requisition
ID: R000090727
Required
Skills & Qualifications:
- Bachelor’s degree in Finance, Economics, Analytics, Statistics or other similar discipline or comparable business experience
- At least 1+ years of experience in fraud analytics
- Proficient in SQL.
- Have directly worked with fraud vendors that use machine learning and rules systems.
- Experience in ETL processing and/or Data Visualization tools (Tableau, PowerBI, Looker) is a plus.
- Familiarity with payment industry regulations is a plus.
Responsibilities:
- You will assist in optimizing risk decisions in the fraud platform by:
- Reviewing and validating the performance of machine learning models.
- Creating and reviewing fraud rules to complement the models or to support business policy rules.
- Providing feedback to the models to continually improve their efficacy.
- You will drive opportunities through data by implementing:
- Anomaly detection alerts to capture potential fraud and abuse faster.
- Pro-active Investigative processes to find fraud and abuse trends that were incorrectly tagged by the model and update the tagging (i.e., false positives and false negatives).
- You will collaborate with teams to drive a one culture mindset, such as:
- Payment Operations on chargeback monitoring and new and existing payment method risks.
- Customer service and ways to improve communications around payment fraud and abuse issues.
- Payment Product and Engineering teams on new feature requests and enhancements.
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