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 rulesRunning pre-trained machine learning models and interpreting outputsDevelopment of conceptual, logical, and physical data models for analytics using predefined rules and approachesStrong documentation of data definitions, controls, and processesExperience managing large, complex datasets with high inter-dependenciesProficiency in Python and SQL; experience with PySpark for large-scale data processingDocumenting business and functional requirementsExperience building dashboards and MI outputs (e.g. Tableau, Power BI) for stakeholder consumption and decision-makingFamiliarity with ESG data domains (emissions, climate risk, transition risk metrics) and related data quality/controlsExperience with test analysis, test execution, and defect management within data or analytics environmentsExperience 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 existDevelops and implements models using machine learning and artificial intelligence techniques