Job
Description
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 globeBanking :Retail and commercial banks and diversified financial institutions.Capital Markets :Investment banks, broker/dealers, asset & wealth management firms, depositories, exchanges, clearing & settlement organisations.
Whats in it for you
Youll be part of a diverse, vibrant, global Accenture data science community, continually pushing the boundaries of analytical capabilitiesGet to work with top financial clients globallyBuild new skills, grow existing skills, develop new areas of expertise within functional and technical areas of businessGet access to resources that will allow you to leverage the latest technologiesand bring innovation to life with the worlds 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 insightsIdentification 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 RFPs and design POVsWorking across client teams to develop and architect Generative AI solutions using ML and GenAIImplement data security measures to safeguard sensitive financial information and ensure adherence to industry standards.
QualificationWho we are looking for
3-8+ years of experience in Data Scienece preferably with financial services clientsBachelors or masters degree in a relevant field Computer Science / Statistics / Data Science / Econometrics / Economics / Engineering from reputed institute or MBA from Tier1 collegesProficiency in programming languages such as Python, R, Scala,pysparkPossess strong analytical skills to derive meaningful insights from complex data setsExperience 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 assetExperience in Supervisory analytics (like Network Analytics, IFRS9 / Basel, Risk Analytics, Balance of Payments Analytics, Licensing analytics, AML etc) is a plusStrong domain experience in one of the following:Central banks (Monetary / Regulatory / Compliance / BASEL),Commercial Banking,Asset & Wealth managementProven experience in one of data engineering, data governance, data science rolesExperience 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 skillsAbility to work independently and collaboratively in a teamProject management skills and the ability to manage multiple tasks concurrentlyStrong 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.
