S&C- Data and AI - CFO&EV Quantexa Platform(Specialist)

About The Role :

Entity :- Accenture Strategy & Consulting

Title :- Level 9 Ind & Func AI Decision Science Consultant

Job location :- Bengaluru, Gurugram, Mumbai

About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition

WHAT'S IN IT FOR YOU?

Accenture 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.

Accenture 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

Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of fraud analytics/management solutions for Accenture'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

Guide junior team members.

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

Qualifications

Job
Qualifications

Who we are looking for?

3-5 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:

o Banking Fraud, Payment Fraud, Credit Card Fraud, Retail

o Fraud, Anti Money Laundering, Financial Crime, Telecom

o 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.

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