Job Location: Bangalore
Business UnitOla Financial Services
About the Company
OlaMoney is one of the fastest growing Fintech companies in India with an active customer base of 27 million+ customers. It is reinventing and fundamentally simplifying the customer experience for various financial products.
OlaMoney started as a wallet service provider as part of the larger Ola group but is now present i 3 additional verticals: Postpaid, Credit Card and Insurance. Some of our key highlights are: –
- OlaMoney is India’s largest postpaid/ pay later services provider. OlaMoney postpaid on Ola is 2.5X bigger than OlaMoney wallet.
- OlaMoney is the world’s largest micro-insurer and facilitate sales of over 20M policies to customers every month
- OlaMoney SBI Credit Card is the most rewarding travel credit card and the first of its kind digitally
Role: AnalystDecision Sciences
Location: Bangalore
Qualification: B Tech/B.E or a graduate in Statistics/economics
Key Roles/Responsibilities
- Work with decision science teams on designing, building and deploying data analysis systems for large dataset
- Establish scalable, efficient, automated processes for model development, validation, implementation and large-scale data analysis.
- Develop metrics and prototypes that can be used to drive major product design decisions
Experience & Skills Required
- Strong background in statistical concepts and calculations (Descriptive & Inferential Statistics)
- Innovative and strong analytical and algorithmic problem solving skills
- Proficiency with analysis tools (e.g. Excel, R, SAS, SPSS) and data mining languages like SQL, Hive etc.
- Proficient in data visualization and presentation
- Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly verbally and in written form
- At least 1 year of relevant experience in the analytics role
- Preferred Qualifications: Understanding of big data architecture (Hadoop)
- R, Python with working knowledge of at least 1 year,
- Advance MS Excel, Statistics and Probability Courses (online or college),
- Supervised and Unsupervised Modeling techniques with application on business/real life problems
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