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Engaged Employer

Zetwerk

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4.1

based on 779 Reviews

100 Zetwerk Jobs

Fraud Analytics Strategy - BFSI

Zetwerk

4.1

based on 779 Reviews

4-8 years

New Delhi

1 vacancy

Fraud Analytics Strategy - BFSI

Zetwerk

posted 14hr ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Python SQL Healthcare Machine Learning Life Sciences

+ 4 more

Job Description

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in the Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.

We are a Great Place to Work-Certified (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the Best and Fastest Growing analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.

About the role:

The growing Financial Services vertical seeks self-motivated analysts and statistical modelers with superlative technical skills for a challenging role in the Financial Services Analytics area.

Responsibilities for this job include working with leading US banks and financial institutions to develop and enhance fraud detection and prevention strategies. The role demands strong expertise in US Credit/Consumer Lending fraud, including First Party (FP) Fraud, Third Party Fraud, and ongoing enhancements to fraud mitigation strategies and rule-based systems.

You will leverage your experience in Python, SQL, and advanced analytics to solve complex fraud problems, ensuring proactive fraud detection, minimized losses, and improved customer experience.

Location : Bangalore/Hyderabad/Chennai

Experience : 4 to 8 years

Job Responsibilities

1. Fraud Analytics Strategy Development :

o Analyze fraud trends, patterns, and key risk indicators in US Credit/Consumer Lending domains.

o Develop data-driven strategies to mitigate First Party and Third Party fraud.

o Design and refine rules-based systems to detect and prevent fraud effectively.

o Conduct advanced data analysis to uncover fraud patterns and recommend actionable insights.

2. Fraud Mitigation Solutions :

o Implement ongoing enhancements and improvements to fraud detection rules and predictive

models.

o Collaborate with cross-functional teams to evaluate fraud solutions and their business impact.

3. Stakeholder Collaboration :

o Partner with client stakeholders to understand business needs and translate them into actionable

fraud prevention strategies.

o Present findings and recommendations to senior management and client teams.

4. Monitoring and Reporting :

o Monitor the performance of fraud detection systems and strategies, ensuring alignment with KPIs.

o Generate comprehensive reports to communicate trends, insights, and outcomes.

Required Qualifications, Capabilities and Skills

1) 3-7 years of experience in Fraud Analytics, Fraud Strategy, or related fields.

2) Expertise in US Credit/Consumer Lending fraud, including First Party and Third-Party fraud.

3) Strong experience with rule-based fraud detection systems and enhancements.

4) Proficiency in Python and SQL for data analysis and model development.

5) Solid understanding of fraud-related KPIs and their impact on PL.

6) Excellent analytical, problem-solving, and communication skills.

Desired Experience /Skills:

1) Experience working with leading US financial institutions.

2) Familiarity with Fraud analytics, strategy and Fraud operations

3) Exposure to tools and third-party solutions used in fraud prevention and monitoring.

4) Knowledge of machine learning techniques and their application in fraud detection.

5) Hands on experience in python/pyspark with ability to handle the large datasets

Employment Type: Full Time, Permanent

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Monday to Saturday

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