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Bengaluru, Karnataka, India
Hybrid
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