Analytics Engineer (Risks Data)

We are looking for a strong SQL-focused engineer to join our Risk Data team. This role sits at the intersection of engineering and analytics: you will work with data already delivered into the core DWH and transform it into structured, scalable, and business-ready solutions.

Challenges that await you:

• Build and develop DWH solutions for risk management purposes

• Design and implement scalable data marts aligned with business needs

• Contribute to build BI/reporting solutions to support risk monitoring

• Transform raw DWH layers into structured analytical datasets for business consumption

• Benchmark and forecast portfolio behavior using internal and external data

• Maintain and enhance existing SQL logic to ensure long-term scalability and performance

• Build and evolve an integrated risk monitoring and reporting framework

• Design and improve data and data quality management processes

• Work closely with business stakeholders to clarify requirements and challenge incomplete specifications

What makes you a great fit:

• 3+ years of experience in SQL development, DWH engineering, or analytical data engineering

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field

• Solid hands-on experience in DWH development, including analytical data modeling, complex data transformations, and development of stored procedures and functions

• Advanced proficiency in SQL with solid hands-on experience in database development and performance optimization

• Strong understanding of data warehouse architecture and design principles (Kimball / Inmon / Data Vault approaches, normalization levels, SCD concepts)

• Understanding of data versioning concepts (SCD)

• Good communication skills and ability to work closely with business stakeholders

• B1 or higher English level for effective communication with an international team

Your bonus skills:

• Experience in banking or fintech risk analytics and understanding of core risk metrics (vintage analysis, roll rates, portfolio risk metric)

• Experience with BI/reporting development

• Strong foundation in mathematical statistics and probability theory

• Experience with analytical scripting languages (Python or R)

• Data Science experience (data preparation, predictive modeling)

Technologies We Work With:

• SQL

• Python, Airflow, DBT

• Snowflake

Our ways of working:

• Innovative Spirit: A commitment to creativity and groundbreaking solutions

• Honest Feedback: valuing open, transparent communication

• Supportive Team: a strong, collaborative community

• Celebrating Achievements: recognizing our wins together

• High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances

Our benefits:

• Relocation support to one of our hubs — Cyprus, Serbia, or Kazakhstan — with assistance for the employee and their family

• Flexible work from one of our offices or remote

• Healthcare Coverage

• Education Budget: Language lessons, professional training and certifications

• Wellness Budget: Mental health and fitness activity reimbursements

• Vacation policy: 20 days of annual leave and paid sick leave