Job Title: Credit risk - Data Analyst (Python +Pyspark)
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: Credit Risk Data Analyst / Senior Data Analyst
Location : Bangalore/ Pune
Experience: 8+ years
Location: Bangalore/ Pune
Responsibilities:
- Define and obtain source data required to successfully deliver insights and use cases.
- Determine the data mapping required to join multiple data sets together across multiple sources
- Create methods to highlight and report data inconsistencies, allowing users to review and provide feedback on
- Propose suitable data migration sets to the relevant stakeholders
- Assist teams with processing the data migration sets as required
- Assist with the planning, tracking and coordination of the data migration team and with the migration run-book and the scope for each customer.
Role Description:
- Good understanding of Wholesale Business within Banking with a focus on Credit & Lending.
- Hands-on experience on advanced programming languages (e.g., Python or Pyspark, SQL).
- Hands-on experience of application of advanced analytics techniques on the banking data for insight generation.
- Possess excellent data analysis skills to perform root cause assessments and propose remediation on issues experienced by Risk & Wholesale businesses.
- Applying business and data design principles, risk management, and technology architecture when interacting with delivery partners.
- Knowledge of Credit Risk Frameworks such as Basel II, III, IFRS 9 and Stress Testing and understanding their drivers- advantageous.
- Data visualization tools (e.g., Tableau or Qlik Sense) - beneficial.
- Retail Credit / Traded Credit knowledge - applications will be considered
#LI-Hybrid
#LI-RA1
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