Antifraud - QC Investigation Analyst

Trusting Social is an AI Fintech pioneer that's revolutionizing credit access in emerging markets. Our mission is "Advancing AI to Meet the Financial Needs of Everyday Consumers with Empathy."

Are you a sharp, meticulous individual with a keen eye for detail and a passion for protecting digital financial systems? Do you excel at uncovering discrepancies and thrive in a fast-paced environment? Then we want you!

How You'll Make an Impact

As our Anti-Fraud - QC Investigation Analyst, you'll be instrumental in protecting our financial well-being by actively identifying and mitigating fraud. You'll gain a deep understanding of our digital lending processes, from customer onboarding to collection, allowing you to proactively propose and implement optimizations for risk policies and fraud prevention initiatives. By developing crucial monitoring reports, meticulously verifying fraudulent cases, and confirming fraud attempts, you'll directly contribute to minimizing negative financial outcomes. Your expertise will be vital in enhancing our fraud control processes, bringing innovative ideas to the table, and ensuring the highest quality of our application data and documents, ultimately fostering a secure environment for our customers.

What You'll Do

- Understanding our end-to-end digital lending process, including onboarding, usage, and collection.

- Develop a monitoring report for tracking progress and fraud rules of decision engines.

- Propose optimization of risk policies and initiatives to prevent fraud.

- Verify fraudulent cases identified by the system, reported by clients, or reported by cooperating business partners.

- Identification and confirmation of fraud attempts based on data provided by anti-fraud data analysts.

- Improving processes and bringing new ideas on how to control fraud attempts.

- Maintain internal black lists and manage internal black list policies and data cleansing.

- Perform QC on application data and documents.

- Prepare daily/weekly/monthly reports about performed activities and findings.

- At least 2 years of experience in fraud detection, fraud investigation, loan underwriting, risk management, or financial services generally, preferably in the consumer finance industry.

- Have experience with databases (SQL). Ability to analyze data, identify patterns, and make data-driven decisions to detect and prevent fraudulent activities.

- Familiarity with anti-fraud systems and other tools to identify and prevent fraudulent activities.

- Must have excellent negotiation and problem-solving skills.

- Excellent time management and ability to work under pressure.

- Good verbal and written communication skills in English.

- Willing to learn on the job and ready to adapt to changes in requirements.

- Bachelor's degree in Finance, Economics, Business Administration, Banking, or related fields.