B3.1 Data

Job Title: Data(Basel 3.1) About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Job Description: Role: Data (Basel 3.1) Location : Bangalore/ Pune / Mumbai/ Gurgaon/ Chennai Cleaning and preparing datasets based on pre-defined rules Running pre-trained machine learning models and interpreting outputs Development of conceptual, logical, and physical data models for analytics using predefined rules and approaches Strong documentation of data definitions, controls, and processes Experience managing large, complex datasets with high inter-dependencies Proficiency in Python and SQL; experience with PySpark for large-scale data processing Documenting business and functional requirements Experience building dashboards and MI outputs (e.g. Tableau, Power BI) for stakeholder consumption and decision-making Familiarity with ESG data domains (emissions, climate risk, transition risk metrics) and related data quality/controls Experience with test analysis, test execution, and defect management within data or analytics environments Experience with application development and deployment (Docker, Kubernetes, CI/CD pipelines) Desirable: Provides subject matter expertise and judgement to interpret and resolve complex, ambiguous, or emerging analytical approaches or techniques where established procedures or precedents may not exist Develops and implements models using machine learning and artificial intelligence techniques