JUNIOR DATA SCIENTIST

SUN FINANCE is a Riga-based fintech company providing financial services across four continents. Founded in 2017, we’ve grown beyond the startup phase—but we’ve kept its energy and innovation, now strengthened by stability and a great work environment.

Our success-driven team thrives on collaboration, ambition, and shared growth. And we’re not slowing down. Join us and be part of what’s next!

We make thousands of data-driven decisions daily and look for a new energetic professional eager to learn and apply a variety of data exploratory analysis methods in R and later build and implement predictive models. The prospective candidate should be open-minded and a quick learner, eager to conquer the world of data.

• Work closely with the HUB team and under supervision from Senior Data Scientists to identify opportunities, execute analytical experiments and agree on tasks to be solved
• Do exploratory data analysis, deliver predictive insights, and suggest new business strategies
• Develop new predictive models in Risk underwriting, fraud prevention, and customer acquisition
• Monitor existing models, select and develop new predictive features, build and optimize classifiers using machine learning techniques
• Assess the effectiveness and accuracy of new data sources and data-gathering techniques
• Continuously learn Data science techniques and gain new experience in the field of Risk underwriting

• BSc degree in mathematics/computer science, physics, computational finance, or a related quantitative field, might be last year's student
• Passion for data analysis, optimization, and strong analytical ability
• Basic knowledge of R or Python
• Knowledge of statistical techniques and concepts (regression, properties of distributions, statistical tests etc.).
• Experience visualizing/presenting data
• Ability to learn fast and a problem-solving mindset
• A high level of spoken and written Latvian and English

As advantage

• Experience in Fintech or similar field
• Knowledge of SQL
• Working experience with large data sets and exposure to big data challenges

• Hybrid work arrangements allowing to combine work from home and office
• Flexible working hours start as late as 10 am
• Health insurance
• Well-being activities, surprises, and birthday gifts (sporty challenges, mini competitions with prizes)
• Supporting self-driven learning (i.e., paid conference fees, relevant Udemy courses etc)
• Receive bonuses for long-term cooperation like extra holidays, etc.
• Free coffee & soft drinks to fuel those tough mornings
• Variety of snacks and soups at the kitchen
• Enjoy the private gym
• Learn and grow in a company of over 10 nationalities
• No suits! Unless it's Carnival or Halloween
• Salary range 2200 – 2800 EUR gross depending on work experience and skills