Line of Service
AdvisoryIndustry/Sector
FS X-SectorSpecialism
RiskManagement Level
Senior AssociateJob Description & Summary
The Credit Risk Analyst will be responsible for collecting, processing, and analyzing credit risk data to help inform business decisions. The ideal candidate will have a strong analytical mindset, proficiency in data analysis tools, and the ability to present findings in a clear and actionable manner.
*Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
Responsibilities:
Collect and interpret data from various sources to identify risk trends and patterns.Develop and maintain databases, data systems, and data analytics tools.Perform detailed data analysis and generate reports, visualizations, and dashboards.Work with cross-functional teams to define metrics, gather requirements, and deliver insights.Identify opportunities for process improvements based on data findings.Ensure data integrity and accuracy by performing data validation and quality checks.Communicate complex data insights and recommendations to stakeholders in a clear and concise manner.Stay current with industry trends and best practices in data analytics.Qualifications:
Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.Proven experience as a Credit Risk Analyst or in a similar role.Proficiency in data analysis tools such as SAS VIA.Experience with data visualization tools like Tableau, Power BI, or similar is preferred.Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.Excellent problem-solving and critical-thinking skills.Strong communication skills, both written and verbal.Ability to work independently and as part of a team.Experience:
4+ years of experience in credit risk analytics, model validation or model development using SAS VIA.Experience with credit risk analytics, model development, validation, or governance frameworks in a financial institution, preferably within a multinational investment bank.Technical Skills:
Proficiency in SAS VIA.Advanced knowledge of Excel, including VBA.Analytical and Problem-Solving Skills:
Strong quantitative and analytical skills with a deep understanding of financial modeling techniques.Ability to critically assess model performance and suggest improvements.Mandatory skill sets:
SAS VIYA
Preferred skill sets:
Credit Risk
Years of experience required:
4+ Years
Education qualification:
Post Graduation
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master DegreeDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
SAS ViyaOptional Skills
Credit RiskDesired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date