S&C- Data and AI - CFO&EV – Quantexa Platform(Analyst) at Accenture

Chennai, Tamil Nadu, India

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial ServicesIndustries

Requirements

3-5 years of relevant Fraud Analytics experience at Financial Services firms, Professional Services, or Risk Advisory, with exposure to areas like Banking Fraud, Payment Fraud, Credit Card Fraud, Retail Fraud, Anti Money Laundering, Financial Crime, Telecom Fraud, Energy Fraud, Insurance Claims Fraud
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
Experience in building models using AI/ML methodologies
Modeling experience with analytical tools such as SAS, R, Python, SQL
Knowledge of data processes, ETL, and tools/vendor products such as VISA AA, FICO Falcon, EWS, RSA, IBM Trusteer, SAS AML, Quantexa, Ripjar, Actimize
Strong conceptual knowledge and practical experience in Development, Validation, and Deployment of ML/AI models
Hands-on programming experience with analytics tools and visualization tools (Python, R, PySpark, SAS, SQL, PowerBI/Tableau)
Knowledge of big data, MLOps, and cloud platforms (Azure/GCP/AWS)
Willingness to travel up to 40% of the time

Responsibilities

Work independently/with minimal supervision in client engagements involving model development, validation, governance, strategy, transformation, implementation, and end-to-end delivery of fraud analytics/management solutions
Advise clients on Fraud Management/Analytics initiatives, including advisory work for CXOs to achieve business and operational outcomes
Develop and frame Proof of Concept for key clients, where applicable
Guide junior team members
Support development of the Practice by driving innovations and initiatives
Develop thought capital and disseminate information around current and emerging trends in Fraud Analytics and Management
Support sales team efforts to identify and win opportunities by assisting with RFPs, RFIs, designing POVs, GTM collateral

Skills

Key technologies and capabilities for this role

Model DevelopmentModel ValidationFraud AnalyticsRisk ManagementPredictive ModellingModel GovernanceFinancial CrimeQuantexa PlatformData AnalyticsAI

Questions & Answers

Common questions about this position

What experience is required for this role?

Candidates need 3-5 years of relevant Fraud Analytics experience at Financial Services firms or Professional Services/Risk Advisory, with exposure to areas like Banking Fraud, Payment Fraud, Credit Card Fraud, Retail Fraud, or Anti Money Laundering.

Where is this job located?

The job is located in Bengaluru, Gurugram, or Mumbai.

Is travel required for this position?

Yes, willingness to travel up to 40% of the time is required.

What is the team culture like at Accenture's Data & AI practice?

You'll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds, pushing the boundaries of business capabilities in an innovative environment.

What salary or compensation does this role offer?

This information is not specified in the job description.

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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