Оur cliеnt is аn US-based fintеch cоmpаny that develops a pеrsоnаl loans platform. The goal is to provide custоmеrs with a workaround for the unеxpеctеd еxpеnsеs.

At the moment, the company is looking for an experienced Senior Data Scientist who will focus on the latest cutting-edge data mining and statistical modeling techniques to make a direct impact in a data-driven company.

Responsibilities:

• Develop, improve and test company’s models to optimise lending decisions by using advanced statistical modeling and simulation techniques;
• Support implementation of the models working closely with software engineering team;
• Research, test and operationalise new analytics techniques and data sources to improve portfolio performance;
• Conduct ad hoc analysis using advanced data mining tools to support risk management, operations and marketing strategies;
• Assist with development of technical tools and platforms to standardise and streamline model development and monitoring processes;
• Work with cross-functional teams to explore new ways of finding insights from data and provide recommendations;
• Develop dashboards to monitor key performance indicators.

Requirements:

• 4+ years of experience with data analytics and statistical modeling;
• Advanced experience working with relational databases, such as SQL;
• Advanced programming skills with Python or R;
• Experience working within an open source environment;
• Strong quantitative and problem-solving skills with key attention to detail;
• Ability to manage multiple projects with tight deadlines, follow through to completion, and present conclusions of analysis to senior management in an organised and thoughtful manner;
• Experience working with specialty finance or FinTech is a plus;
• Start-up experience is a plus.

The company offers:

• Competitive salary and benefits package, including material equity grant;
• Fun, fast-paced work environment;
• Dynamic start-up culture;
• Ability to make an immediate impact in a growth stage company;
• Equal opportunity employer.