Fraud Analytics

1 week ago

Pune, Maharashtra, India Blucognition Full time ₹ 5,00,000 - ₹ 12,00,000 per year

About bluCognition:

bluCognition is an AI/ML based start-up specializing in risk analytics, data conversion and data enrichment capabilities. Founded in 2017, by some very named senior professionals from the financial services industry, the company is headquartered in the US, with the delivery center based in Pune.

We build all our solutions while leveraging the latest technology stack in AI, ML and NLP combined with decades of experience in risk management at some of the largest financial services firms in the world.

Our clients are some of the biggest and the most progressive names in the financial services industry. We are entering a significant growth phase and are looking for individuals with entrepreneurial mindset who want us to join in this exciting journey.

Job Title: Fraud Analytics Analyst

Mode of Work: Remote / Work from Home (WFH)

Summary of the Role

We are looking for an Analyst in Fraud Analytics who will play a key role in detecting, analysing, and preventing fraudulent activities using data-driven insights. The role requires strong analytical skills, proficiency in SQL and Python, and the ability to work with large datasets to identify patterns, anomalies, and risks.

Roles & Responsibilities


• Work with large datasets to identify suspicious patterns, anomalies, and potential fraudulent behaviour.


• Develop SQL queries and Python scripts to automate fraud detection processes.


• Collaborate with cross-functional to design and improve fraud prevention strategies.


• Build dashboards, reports, and insights to support fraud investigation and business decisions.


• Continuously monitor fraud trends and propose enhancements to detection methodologies.


• Assist in testing and validating fraud models and rules.

Qualifications:


• 06 months of experience in a related field


• Candidates from Tier 1 Colleges are expected to apply


• Strong proficiency in SQL and Python.


• Quantitative background in engineering, statistics, math, economics, business, or related disciplines


• Possesses analytical mindset and strong problem-solving skills. Attention to detail and ability to multitask.


• Comfortable working in a fast-paced environment and dealing with ambiguity.


• Possesses strong communication, interpersonal and presentation skills; and ability to engage and collaborate with multiple stakeholders across teams.


• Extremely proactive communicator willing to raise flags when needed and keep team members informed of ongoing risk or fraud related activities.

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