About Zype:
Zype is a credit-first financial well-being & lifestyle app. We help our customers make their aspirational lifestyle affordable while helping them make responsible financial decisions & positively contribute to their financial well-being.
With a fully digital & seamless user experience, we are helping the next generation of credit users get instant loan & always have access to money when they need it. This combined with Zype’s intuitive money management tools can help them manage their spending, get bill reminders & make timely payments, all on one single app.
At Zype, we challenge ourselves daily to deliver an exceptional experience to our users. We are passionate about what we do & leverage the latest technology to add outstanding value to the lives of our customers.
Role Overview:
As a Analytics Scientist Professional at Zype, you will leverage data-driven strategies to strengthen our BNPL platform. With a focus on credit risk modeling and analytics, you will play a key role in developing predictive tools, refining strategies, and ensuring robust credit decision-making frameworks.
What You’ll Do:
- Credit Risk Modeling: Develop and refine predictive models for credit scoring, fraud detection, and customer behavior analysis.
- Data Analysis: Explore large datasets to identify patterns, extract insights, and propose actionable recommendations for mitigating risk.
- Risk Monitoring: Build tools and dashboards to track key risk metrics and ensure early detection of potential issues.
- Policy Development: Collaborate with cross-functional teams to create and improve credit policies that balance risk and growth.
- Fraud Prevention: Implement models and systems for real-time fraud detection and prevention.
- Insights Delivery: Present findings and insights through reports and visualizations, enabling data-driven decision-making across teams.
What We’re Looking For:
- Technical Proficiency: Strong foundation in machine learning, statistical analysis, and data modeling techniques.
- Programming Skills: Experience with Python, R, SQL, or similar tools for data analysis. Familiarity with big data platforms like Spark or Hadoop is a bonus.
- Analytical Thinking: Ability to solve complex problems and provide meaningful insights from large datasets.
- Collaboration: Excellent communication and teamwork skills to work effectively with product, engineering, and business teams.
- Domain Knowledge: Understanding of credit risk, BNPL, or lending is a plus but not mandatory.
- Attention to Detail: Precision in building models and delivering accurate results.
Experience & Qualifications:
- Experience: 2-4 years in data science, analytics, or a related field, with exposure to fintech or credit risk preferred.
- Educational Background: Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related discipline.
Why Zype?
- Impactful Work: Be part of a fast-growing fintech, driving data-driven innovation in BNPL.
- Collaborative Culture: Work alongside talented peers in a supportive and inclusive environment.
- Learning Opportunities: Gain exposure to cutting-edge technologies and methodologies in risk analytics.
- Career Growth: Build your career with opportunities to grow in a high-impact role.
Ready to redefine risk analytics? Join Zype and shape the future of BNPL in India!
