Data Analyst - Fintech Risk & Portfolio

About the role

Ecofinance, part of Dyninno Group's fintech division, is looking for a Data Analyst to join its Data Science and Analysis team. Ecofinance provides accessible B2C financial services across Romania, Moldova and the Philippines through the Creditprime and Honey Loan brands, offering online credit lines and instalment loans. You will work with complex datasets to support risk management, marketing and other functions, helping optimise lending performance and portfolio quality.

Key responsibilities

• Collect, clean and analyse data from internal and external sources.
• Develop and maintain analytical tools, dashboards and data models for risk monitoring and portfolio analysis.
• Produce and interpret regular and ad hoc reports, turning data into actionable insights for stakeholders.
• Conduct portfolio analyses to assess risk exposure, track KPIs and spot trends across portfolio segments.
• Translate findings into recommendations that refine risk policies and optimise the portfolio.
• Communicate results clearly to technical and non-technical audiences.

Required profile

• Degree in statistics, applied mathematics, economics, computer science or a related quantitative field.
• Strong analytical thinking, attention to detail and clear communication of findings.
• Eagerness to learn new tools and business concepts in a fast-paced environment.
• Prior experience in financial services or risk analytics is an advantage.

Required skills

• Advanced SQL for querying large datasets and building complex transformations.
• R or Python for data analysis, automation or model prototyping.
• BI tools such as Looker, Power BI or Tableau for dashboards.
• Experience building data pipelines with schedulers (e.g. Cron) is an advantage.

What we offer

• A paid day off on your birthday.
• Meal tickets of 70 Lei per working day.
• A modern office in Chisinau with full facilities, relaxation areas, coffee, fruit and gifts for life events.
• Career development, local trainings, conferences and access to Coursera.
• Monthly events, team traditions, recognition programmes and referral bonuses.