Entity: Accenture Strategy & Consulting

Team: Global Network - Data & AI

Practice: CFO & EV - Risk Analytics

Title: Ind & Func AI Decision Science Consultant

Job location: Mumbai

About Accenture Global Network - Data & AI practice

Accenture Global Network - Data & AI practice helps our clients grow their businesses 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 modeling, to outperform the competition.

What’s in it for you?

Accenture CFO & EV team under Data & AI team offers a comprehensive suite of capabilities in Risk, Fraud, Financial Crime, and Finance. Within the risk realm, our focus revolves around model development, model validation, and auditing of models. Additionally, our work includes ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models.

- Get to work with top financial clients globally.

- Access resources to utilize cutting-edge technologies, fostering innovation with the world's most recognizable companies.

- Accenture will continually invest in your learning and growth, supporting you in expanding your knowledge.

- Be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines, continually pushing the boundaries of business capabilities and fostering an environment of innovation.

What you would do in this role:

Engagement Execution

- Work independently or with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation, and end-to-end delivery of risk solutions for Accenture's clients.

- Manage workstreams of small projects with responsibilities for managing the quality of deliverables for junior team members.

- Demonstrate the ability to manage day-to-day interactions with Client stakeholders.

Practice Enablement

- Guide junior team members.

- Support the development of the Practice by driving innovations and initiatives.

- Develop thought capital and disseminate information around current and emerging trends in Risk.

Who we are looking for:

- 2 - 6 years of relevant Risk 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:

- Development, validation, and audit of:

- Credit Risk: PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting and Revenue Forecasting Models, IFRS9/CECL Loss Forecasting Models across Retail and Commercial portfolios.

- Credit Acquisition/Behavior/Collections/Recovery Modeling and Strategies, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios.

- Regulatory Capital and Economic Capital Models.

- Liquidity Risk: Liquidity models, stress testing models, Basel Liquidity reporting standards.

- 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, etc.

- Programming Languages: SAS, R, Python, Spark, Scala, etc. Tools such as Tableau, QlikView, PowerBI, SAS VA, etc.

- Strong understanding of Risk functions and the ability to apply them in client discussions and project implementation.

Academic Requirements:

- Master’s degree in a quantitative discipline such as mathematics, statistics, economics, financial engineering, operations research, or related field, or an MBA from top-tier universities.

- Strong academic credentials and publications, if applicable.

- Industry certifications such as FRM, PRM, CFA preferred.

- Excellent communication and interpersonal skills.

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women.