Credit Saison Finance Pvt Ltd
https://saisoncard.co.jpAbout
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Jobs at Credit Saison Finance Pvt Ltd
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Data Science
R Programming
Python1) Understand the business objectives, formulate hypotheses and collect the relevant data using SQL/R/Python. Analyse bureau, customer and lending performance data on a periodic basis to generate insights. Present complex information and data in an uncomplicated, easyto-understand way to drive action.
2) Independently Build and refit robust models for achieving game-changing growth while managing risk.
3) Identify and implement new analytical/modelling techniques to improve model performance across customer lifecycle (acquisitions, management, fraud, collections, etc.
4) Help define the data infrastructure strategy for Indian subsidiary.
a. Monitor data quality and quantity.
b. Define a strategy for acquisition, storage, retention, and retrieval of data elements. e.g.: Identify new data types and collaborate with technology teams to capture them.
c. Build a culture of strong automation and monitoring
d. Staying connected to the Analytics industry trends - data, techniques, technology, etc. and leveraging them to continuously evolve data science standards at Credit Saison.
Required Skills & Qualifications:
1) 3+ years working in data science domains with experience in building risk models. Fintech/Financial analysis experience is required.
2) Expert level proficiency in Analytical tools and languages such as SQL, Python, R/SAS, VBA etc.
3) Experience with building models using common modelling techniques (Logistic and linear regressions, decision trees, etc.)
4) Strong familiarity with Tableau//Power BI/Qlik Sense or other data visualization tools
5) Tier 1 college graduate (IIT/IIM/NIT/BITs preferred).
6) Demonstrated autonomy, thought leadership, and learning agility.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Java
Scala
C++• Design and build scalable REST API’s and integrate third party API’s
• While you focus on one stack, you will also work on multiple stacks - Backend, Frontend, Databases, Infra, etc.
• Unifying data structures across multiple internal built systems to ensure continuity and enhancements of functionality
• Implement scalable, robust and highly available solutions
• Identify and/or question problems/issues and have the ability to scope out a solution with clean modular code
• Participate in Sprint Planning activities - sizing, estimations and assessments
• Conduct peer to peer code reviews and write unit test cases along with your code
• Work with the QA team to ensure that your code is always delivered on time and matching the criteria of all stories
• Show demoes of the features and functionality you have developed.
Technical and General Skills we expect you to have;
• Quick learner, good at math and problem solving skills
• Strong in communication - verbal and written
• Fair working knowledge of design patterns
• Good in Data Structures and writing algorithms
• Experience working on MVC frameworks
• 1+ year of experience in writing code in either Java, Python, Ruby or JavaScript
• Other tech skills that we’d like you to have knowledge about: Relation DB’s, Git, Using an IDE, writing unit test cases
• Bachelors or Master Degree - Computer Science is a plus, but not required
• Willing to work and keep up in a fast-paced startup
• Be open-minded and learn from your peers
• Have fun in a collaborative work environment
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𝐖𝐡𝐚𝐭 𝐰𝐞'𝐯𝐞 𝐥𝐞𝐚𝐫𝐧𝐞𝐝:
The best technology feels invisible. Our AI employees don't feel like software—they feel like that reliable teammate who just gets things done. No hand-holding, just consistent results that make everyone's day better.
𝐇𝐨𝐰 𝐰𝐞 𝐭𝐡𝐢𝐧𝐤 𝐚𝐛𝐨𝐮𝐭 𝐢𝐭:
This isn't about replacing anyone. It's about giving your team superpowers. When AI handles the repetitive conversations, your people can focus on solving problems, building relationships, and creating things that matter.
𝐖𝐡𝐚𝐭 𝐝𝐫𝐢𝐯𝐞𝐬 𝐮𝐬:
Every business has incredible people doing mundane work. We think that's backwards. So we built AI employees that free up human potential—one conversation at a time.
We're not trying to change the world overnight. We're just making tomorrow a little better than today, for teams who believe work should be meaningful.
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