Kaleidofin - Junior Data Scientist - SQL/Python (2-5 yrs)

Who we are :

Kaleidofin is a fintech focused on the goal to unlock access to tailored finance for women, agriculture and nano entrepreneurs. We provide the ki credit platform, combining credit health assessment (ki score), middleware rails and best-in-class risk management (ki view) to enable the financial ecosystem to better serve customers.

By building credit health scores for impactful finance and innovating on debt structures that scale inclusion, Kaleidofin is achieving this goal - in India, Bangladesh and East Africa and expanding.

Kaleidofin recently raised USD 13. 8 million in a funding round led by Rabo Partnerships, bringing our total capital raised to USD 37 million.

This funding fuels our mission to build a digital ecosystem ensuring finance for everyone, everywhere.

Over the years, Kaleidofin has been supported by a diverse group of marquee investors, including the Bill & Melinda Gates Foundation, the Michael & Susan Dell Foundation, Oiko Credit, Flourish, Omidyar Network, Blume Ventures, and Bharat Fund, each of whom shares our commitment to financial inclusion and impact.

Kaleidofin has received exceptional international recognition in being featured as one of only six Indian companies on the Forbes 100 To Watch in Asia list and in being selected to present at the United Nations General Assembly Special Task Force Event.

The company won the Amazon AI Conclave award for Fintech, was one of only ten startups chosen for the Google LaunchPad Accelerator program in 2019 and was recognized as India's Most Innovative Wealth, Asset and Investment Management Service/Product by the Internet & Mobile Association of India (IAMAI).

Kaleidofin won the Swanari TechSprint 2023, organized by the RBI Innovation Hub, showcasing its product leadership in the financial inclusion space in India.

It was a finalist in the India Fintech Forum Awards (IFTA) 2023 for "Best Use of AI in Fintech" as well as a finalist at the prestigious Global SME Finance Awards 2024 hosted by the SME Finance Forum and International Finance Corporation (IFC).

Most recently, Kaleidofin is a finalist at the prestigious G20 TechSprint 2024 - Technology for the Planet.

With its focus to harness technology to deliver seamless experiences and data-centric products, Kaleidofin aims to become a leading player in enabling finance for everyone, everywhere.

We also invest in culture and team growth, reflective in our selection as a Great Place to Work for multiple years.

What you'll do?

- Partnering with internal business owners (product, marketing, edit, etc.) to understand needs and develop custom analysis to optimize for user engagement and retention.

- Good understanding of the underlying business and workings of cross functional teams for successful execution.

- Design and develop analyses based on business requirement needs and challenges.

- Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.

- Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed.

- Other reports and custom analysis as required.

- Identify and use appropriate investigative and analytical technologies to interpret and verify results.

- Apply and learn a wide variety of tools and languages to achieve results.

- Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.

- Collaborate with the team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling.

- Innovate on projects by using new modeling techniques or tools.

- Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.

- Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.

Who you need to be?

- Typically has 2 - 5 years of relevant experience.

- Preferred education: Bachelor's degree in a technical field or equivalent experience

- Experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.

- Machine Learning Algorithms : Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection.

- Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.

- Strong with programming languages like Python and data processing using SQL or equivalent andability to experiment with newer open-source tools.

- Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.

- Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.

- Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)

- Experience in risk and credit score domains preferred.

Job location : Chennai/Bangalore (work from office-Hybrid)