Job
Description
3 to 6 years of experience in building Analytical solutions. About the company: Online PSB Loans, is a revolutionary digital credit infrastructure company that develops and integrates cutting-edge technology to automate and digitize lending for both borrowers and lenders. The company addresses the challenges of credit distribution to MSMEs and retail borrowers. With a view to expanding its digital footprint and utilizing its infrastructure, the company is diversifying into several industry segments. Role: - Sr. Data Scientist This role serves to build analytics-led solutions for the company s customers (Bankers, MSMEs, and Individuals) and key stakeholders (Senior Management, Business Development, Marketing, etc.) within the company. Exhibits robust skills in building innovative analytical solutions enabling data-driven, informed business decisions. Analyse a large amount of information to discover trends and patterns. Proactively come up with innovative ways to build and deploy analytical solutions. Work with cross-functional teams to drive Analytical tools in ongoing processes & programs. Min. University degree Master s in computer science Statistics, Mathematics (or other relevant) Technical Skills Hands-on experience in building predictive models, and machine learning algorithms & putting them into production. Strong knowledge of machine learning fundamentals, linear algebra, probability, and statistics. Proficient in Python and SQL and familiarity with machine learning frameworks, matrices, and data visualization libraries. Experience in web scraping, extracting, manipulating, and analyzing multidimensional data (Structured & Unstructured) from varied sources. Experience in Deep Learning, NLP, and cloud-based systems (Spark, Amazon EC2) 3 to 6 years of experience in building Analytical solutions. Experience in the finance industry / Fintech. Skills Presentation skills Effective Written Communication Drive for Results Standing Alone & Proactive Mandatory Skills Proficiency in Python, SQL, hands-on experience in building machine learning models (Logistic Regression, Xgboost, Random forest, etc.,)/Deep learning/NLP and deploying it into production (at least one industry experience in building ML models) Good to have Experience in credit risk modeling, experience in fintech, PySpark, and AWS SageMaker. If you believe that the future lies in innovation and have the ability to come up with ideas that are unconventional in the fintech space, you can apply to be a part of the OPL team.
