About the Company
axio, formerly Capital Float, is a consumer finance company offering pay later, credit, and personal finance management under one seamless brand experience. On a mission to make creditworthy for all, axio leverages technology to deliver innovative financial products to millions of individuals across the country, including vast sections of traditionally under-served consumers. axio is the brand name of CapFloat Financial Services Private Limited, a Non-Banking Finance Company (NBFC) registered with the Reserve Bank of India. The company has raised funding from marquee investors such as Elevation Capital (formerly SAIF Partners), Sequoia India, Lightrock, Creation Investments Capital Management LLC, Ribbit Capital, and Amazon.
Internship Description
We are seeking a motivated and detail-oriented Risk Analyst Intern to join our team. In this role, you will assist in analyzing data to help drive business decisions and optimize performance. This is an excellent opportunity to gain hands-on experience in data analytics, work with large datasets, and learn from experienced professionals.
Responsibilities:
- Collect, clean, and pre-process large datasets from various sources to ensure data accuracy.
- Assist in analyzing and interpreting data to identify trends, patterns, and insights.
- Create data visualizations, reports, and dashboards to communicate findings to stakeholders.
- Collaborate with cross-functional teams to understand data needs and provide analytical support.
- Assist in developing predictive models and statistical analyses to support business strategies.
- Support ad-hoc data analysis requests as needed.
- Help improve data collection processes, automation, and overall data integrity.
Requirements:
- Currently pursuing a degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field.
- Familiarity with data analysis tools such as Excel, SQL, Python, or R.
- Experience with data visualization tools like Tableau, Power BI, or Google Data Studio is a plus.
- Strong analytical and problem-solving skills with attention to detail.
- Ability to work independently and as part of a team.
- Excellent communication skills, both written and verbal.
- Eagerness to learn and adapt to new tools, technologies, and methodologies.
Preferred Qualifications:
- Experience with data manipulation and querying in SQL.
- Knowledge of statistical analysis and machine learning concepts.
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
- Experience with ETL (Extract, Transform, Load) processes is a plus.
Benefits:
- Hands-on experience working with large-scale data in a real-world business environment.
- Mentorship and guidance from experienced data professionals.
- Opportunity to contribute to meaningful projects that impact business decisions.
- Networking opportunities with professionals in the data analytics field.