Entity: - Accenture Strategy & Consulting

Team: - Global Network - Data & AI

Practice: - Banking & Financial Services Analytics

Title: - Consultant – Level 9

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, you'll improve the future of the global financial services industry.

Accenture serves the world's 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

• Work closely with clients to understand their business goals and challenges.
• Develop data strategies aligned with business objectives and industry best practices.
• Collaborate with business stakeholders to understand analytical requirements and deliver actionable insights
• Identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights
• Develop and implement predictive models to assess and manage financial risks, leveraging advanced data science techniques.
• Build predictive models to assess and maximize Customer Lifetime Value, enabling targeted retention and acquisition strategies.
• Help in responding to RFP’s and design POVs
• Working across client teams to develop and architect Generative AI solutions using ML and GenAI
• Implement data security measures to safeguard sensitive financial information and ensure adherence to industry standards.

Who we are looking for?

• 3-8+ years of experience in Data Scienece preferably with financial services clients
• Bachelor’s or master’s degree in a relevant field – Computer Science / Statistics / Data Science / Econometrics / Economics / Engineering from reputed institute or MBA from Tier1 colleges
• Proficiency in programming languages such as Python, R, Scala,pyspark
• Possess strong analytical skills to derive meaningful insights from complex data sets
• Experience with data visualization tools (Tableau, Power BI, etc.)
• Knowledge of Data Science and Machine Learning concepts and algorithms such as clustering, regression, classification, forecasting, hyperparameters optimization, NLP, computer vision, speech processing; understanding of ML model lifecycle would be an asset
• Experience in Supervisory analytics (like Network Analytics, IFRS9 / Basel, Risk Analytics, Balance of Payments Analytics, Licensing analytics, AML etc) is a plus
• 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.
• Experience with any Cloud Technologies (MS Azure, GCP, AWS)
• Familiarity with Deep Learning concepts & tools (H2O, TensorFlow, PyTorch, Keras, Theano, etc.) is a plus.
• Excellent communication and client-facing skills
• Ability to work independently and collaboratively in a team
• Project management skills and the ability to manage multiple tasks concurrently
• Strong written and oral communication 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.