Fraud Analytics

1 week ago

bangalore, India NeerInfo Solutions Full time

Neerinfo Solutions is a Leading executive search firm providing services to leading IT services, Manufacturing, Captives, and BFS companies.


One of our clients a Top Tier 1 IT Services Company is looking to hire for a Fraud Analytics role


Role: Fraud Analytics

Location- Gurgaon, Bengaluru, Mumbai

Experience - 3+years

Position type: Permanent


Mandate: Fraud Analytics, model development and Validation , Python/ SAS, Statistical modeling



Job Description -


WHAT’S IN IT FOR YOU?

  • CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models.
  • Get to work with top financial clients globally
  • Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the world’s most recognizable companies.
  • Company will continually invest in your learning and growth and will support you in expanding your knowledge. You’ll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation.

What you would do in this role

Engagement Execution

  • Lead client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of fraud analytics/management solutions for Company’s clients.
  • Advise clients on a wide range of Fraud Management/ Analytics initiatives. Projects may involve Fraud Management advisory work for CXOs, etc. to achieve a variety of business and operational outcomes.
  • Develop and frame Proof of Concept for key clients, where applicable

Practice Enablement

  • Mentor, groom and counsel analysts and consultants.
  • Support development of the Practice by driving innovations, initiatives.
  • Develop thought capital and disseminate information around current and emerging trends in Fraud Analytics and Management
  • Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral.

Travel: Willingness to travel up to 40% of the time

Professional Development Skills: Project Dependent

Who we are looking for?

  • 3+ years of relevant Fraud Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas:
  • Banking Fraud, Payment Fraud, Credit Card Fraud, Retail
  • Fraud, Anti Money Laundering, Financial Crime, Telecom
  • Fraud, Energy Fraud, Insurance Claims Fraud etc.
  • Advanced skills in development and validation of fraud analytics models, strategies, visualizations.
  • Understanding of new/ evolving methodologies/tools/technologies in the Fraud management space.
  • Expertise in one or more domain/industry including regulations, frameworks etc.
  • Experience in building models using AI/ML methodologies
  • Modeling: Experience in one or more of analytical tools such as SAS, R, Python, SQL, etc. Knowledge of data processes, ETL and tools/ vendor products such as VISA AA, FICO Falcon, EWS, RSA, IBM Trusteer, SAS AML, Quantexa, Ripjar, Actimize etc.
  • Proven experience in one of data engineering, data governance, data science roles
  • Experience in Generative AI or Central / Supervisory banking is a plus.
  • Strong conceptual knowledge and practical experience in the Development, Validation and Deployment of ML/AL models
  • Hands-on programming experience with any of the analytics tools and visualization tools (Python, R, PySpark, SAS, SQL, PowerBI/ Tableau)
  • Knowledge of big data, ML ops and cloud platforms (Azure/GCP/AWS)
  • Strong written and oral communication skills
  • Project management skills and the ability to manage multiple tasks concurrently
  • Strong delivery experience of short and long term analytics projects

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