Lead Associate - RNA

Company Description

WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.

Job Description

ROLES & RESPONSIBILITIES:-

• Data-Driven Insights: Leverage data and analytics to deliver insights on the lending business, guiding credit performance and growth strategies to support underwriting capabilities and overall profitability.
• Strategic Collaboration: Partner with data science teams to develop advanced machine learning models that drive loan origination and portfolio management strategies.
• Credit Risk Management: Design, implement, and manage credit risk strategies, including credit underwriting, pricing, loan assignment, and verification based on default probability assessments.
• Performance Monitoring: Identify trends in performance, growth, and risk by developing and maintaining monitoring reports, including insights into internal and external leading indicators.
• Drive Analytical Efficiency and Innovation: Automate monitoring, reporting, and business decision processes to empower the team to take on larger challenges.

REQUIRED EXPERIENCES AND SKILLS:-

• 2+ years of analytics experience.
• Proficiency in SQL, Python, Tableau, and BI tools.
• Strong analytical skills with expertise in handling and analyzing large datasets to solve complex business challenges.
• Experience in using models developed by data scientists to enhance business decisions.
• Proficiency in summarizing data and analysis through charts, memos, and presentations.
• Strong communication skills, with the ability to effectively communicate data and logic to diverse audiences.
• A strong sense of accountability and the ability to work collaboratively across multiple departments.
• Problem-solving skills to overcome roadblocks and deliver results.

OTHER PREFERRED SKILLS AND EXPERIENCE:-

• Experience with consumer credit products and common credit metrics.
• Familiarity with Jira and Git.
• Prior experience working in FinTech or innovative financial institutions.

Qualifications

Graduate