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

Hyderabad, Telangana, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial ServicesIndustries

Requirements

7 - 12 years of relevant Risk Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to development, validation, and audit of Credit Risk models (PD/LGD/EAD, CCAR/DFAST Loss Forecasting, Revenue Forecasting, IFRS9/CECL Loss Forecasting across Retail and Commercial portfolios)
Experience in Credit Acquisition/Behavior/Collections/Recovery Modeling and Strategies, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios
Experience with Regulatory Capital and Economic Capital Models, Liquidity Risk models (liquidity models, stress testing, Basel Liquidity reporting), Anti Money Laundering (AML scenarios/alerts, Network Analysis), Operational risk (AMA modeling, operational risk reporting)
Conceptual understanding of Basel/CCAR/DFAST/CECL/IFRS9 and other risk regulations
Experience in conceptualizing and creating risk reporting and dashboarding solutions
Experience in modeling with statistical techniques such as linear regression, logistic regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time series (ARMA/ARIMA), ML interpretability and bias algorithms
Proficiency in Programming Languages: SAS, R, Python, Spark, Scala; Tools: Tableau, QlikView, PowerBI, SAS VA
Strong understanding of Risk function and ability to apply them in client discussions and project implementation
Master’s degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research or related field) or MBA from top-tier universities
Strong academic credentials and publications

Responsibilities

Work independently/with minimal supervision in client engagements involving model development, validation, governance, strategy, transformation, implementation, and end-to-end delivery of risk solutions
Manage workstream of large projects / small projects with responsibilities of managing quality of deliverables for junior team members
Manage day-to-day interactions with Client stakeholders
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 Risk

Skills

Key technologies and capabilities for this role

Model DevelopmentModel ValidationModel GovernanceRisk AnalyticsPredictive ModelingData AnalyticsAIFraud DetectionFinancial Crime

Questions & Answers

Common questions about this position

What experience level is required for this role?

The position requires 7-12 years of relevant Risk Analytics experience at Financial Services firms or Professional Services/Risk Advisory.

What specific skills in risk modeling are needed?

Candidates need significant exposure to development, validation, and audit of Credit Risk models like PD/LGD/EAD, CCAR/DFAST Loss Forecasting, IFRS9/CECL models, Credit Acquisition/Behavior/Collections/Recovery Modeling, and Regulatory/Economic Capital Models.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What does the team culture look 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 boundaries of business capabilities in an innovative environment, with opportunities to work with top financial clients globally.

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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