S&C Global Network - AI - Financial Services Analytics - Manager

8 - 12 years

12 - 18 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Description

Entity:- Accenture Strategy & Consulting
Team:- Global Network - Data & AI
Practice:- Banking & Financial Services Analytics
Title:- Manager Level 7
Job location:- Bengaluru, Gurugram, Mumbai
About S&C - Global Network Data & AI:- 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.
Role Overview :- As an experienced financial services professional, your market-leading industry, management and technology expertise will provide critical solutions that answer unparalleled strategic, operational, technology and sourcing demands. And, in doing so, youll improve the future of the global financial services industry.
Accenture serves the worlds leading financial services organisations across three industry groups
  • Central Banks:Monetary authorities, reserve banks across globe
  • Banking :Retail and commercial banks and diversified financial institutions.
  • Capital Markets :Investment banks, broker/dealers, asset & wealth management firms, depositories, exchanges, clearing & settlement organisations.
  • What's in it for you
  • You'll be part of a diverse, vibrant, global Accenture data science community, continually pushing the boundaries of analytical capabilities
  • Get to work with top financial clients globally
  • Build new skills, grow existing skills, develop new areas of expertise within functional and technical areas of business
  • Get access to resources that will allow you to leverage the latest technologies and bring innovation to life with the world's most recognizable companies
  • What you would do in this role
  • Incumbent will lead engagements for FS clients and develop data strategies aligned with business objectives and industry best practices
  • Collaborate with business stakeholders to understand analytical requirements and deliver actionable insights
  • Assesses and manages risks and issues, ultimately ensuring that project objectives are achieved.
  • Develops and maintain strong trust-based relationships with clients
  • Managing activities and deliverables against plan, reviewing draft output, and providing feedback/coaching to project team members
  • Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral.
  • People Development:Develop a team of professionals to enable growth
  • Perform role of counselor and coach, provide input and guidance into the firm's staffing process, and actively participate in staff recruitment and retention activities
  • Qualifications
    Who we are looking for?
  • 8+ years of experience in analytics preferably with financial services clients
  • Bachelors or masters degree in a relevant field Computer Science / Statistics / Operational Research / Data Science / Econometrics / Economics / Engineering or MBA from reputed institute
  • High skilled and experienced manager of Data science in Financial services domain who has experience in GenAI, Supervisory analytics (like Network Analytics, IFRS9 / Basel, Risk Analytics, Balance of Payments Analytics, Licensing analytics, AML etc)
  • Strong domain experience in one of the following:
  • Central banks (Monetary / Regulatory / Compliance / BASEL),
  • Commercial Banking,
  • Asset & Wealth management
  • 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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