PORTFOLIO CREDIT RISK ANALYST

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!

The Portfolio Credit risk analyst will be responsible for creating and maintaining analysis to support decision-making by the Portfolio Credit Risk Manager and Hub Credit Risk Officer. In your role as a Credit risk analyst, you will be responsible to support the development, monitoring, and optimization of lending products by providing data-driven insights, enhancing risk management strategies, and ensuring portfolio performance aligns with the organization's financial objectives.

• You will deliver detailed and accurate analyses of portfolio performance, identifying key trends, risk exposures, and areas of concern
• Produce timely and actionable reports to support decision-making by the Portfolio Credit Risk Manager and Hub Credit Risk Officer
• Collaborate with the team to develop and maintain robust risk monitoring frameworks to detect early warning signs of credit deterioration
• Contribute to experiments or pilot programs designed to test and optimize new risk strategies or product enhancements
• Use advanced data analysis tools to provide insights and recommendations for improving portfolio health and profitability
• Assist in presenting findings and recommendations in a clear, concise manner to support internal stakeholders
• Stay updated on industry trends, regulatory changes, and emerging risks to proactively adapt risk strategies

• At least 1 year of experience in Credit risk management within a financial institution or a related field
• A university degree in Business, Finance, Statistics, Mathematics, Engineering, Data Science, or a similar field
• Experience in a data-driven lending organization, with exposure to data analysis processes
• Proficiency in working with data analysis tools and databases such as SQL, PostgreSQL, or Oracle
• Solid analytical skills with attention to detail and a problem-solving mindset
• Good Latvian and English language skills, sufficient for professional communication and documentation

• 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 2600-3200 EUR gross depending on work experience, education, and skills