Junior Python Developer

About Phi Partners:

Phi Partners are the European market leader for niche third party trading technology professional IT services. With 15+ years of experience and partnerships with leading software companies, we are working under a range of complex projects internationally. Phi are supporting an Asia-based Tier 1 investment bank with offices in more than 30 countries across the world, counting over 26,000 employees globally.

The client provides a variety of advisory and capital-raising solutions to corporations, financial institutions, private equity, governments, and public sector organizations around the world. Managing assets of nearly $600bn, they are a major player across the equities and fixed income markets.

About the Programme:

Our client’s Credit Risk Technology team is in charge of supporting the business functions of Credit Risk Management and Credit Risk Analytics platforms. Responsible for maintenance and development of these risk platforms, the Credit Risk Technology team operates on a global scale within the bank’s Risk & Capital Technology department.

Bank’s ETL services are responsible for extracting and transforming reference, market and risk data from various sources, which is then transferred into the in-house protocol buffer data format that is heavily used by the Credit Risk engine. The client is currently in the process of implementing a business-critical project designing new Credit Risk application system features, including developing microservices for each data type and conducting code optimization tasks.

About the Role and Responsibilities:

Phi Partners is looking to on-board a talented Python Developer to join our client’s Credit Risk

Technology function in Bucharest. You will become part of an established Prism ETL pod, joining a

collaborative team of engineers focused on enhancing a business-critical Credit Risk data platform. The platform is responsible for extracting, transforming, and loading large-scale market, reference, and trade-level data into the bank’s core Credit Risk engines, directly supporting risk calculations for live trading activity.

In this role, you will work closely with Credit Risk Analysts, Data Scientists, and senior engineers to

design and build Python-based ETL workflows and microservices that handle different financial data types and interface directly with the Credit Risk engine. This is a hands-on engineering position offering strong exposure to large scale data processing, microservices architecture, and front-office risk technology within a global investment bank environment. The role is well suited to a junior Python developer (around 1–3 years’ experience) who is eager to grow their skills while contributing to a high impact team. The working model is hybrid, with on-site presence in the Bucharest office expected two days per week.

Key Skills:

To Be successful in this role, the ideal candidate:

• Strong Python development experience (1+ years), with a solid understanding of writing clean,

maintainable code

• Experience working with data processing and ETL workflows

• Hands-on experience with Python data libraries such as NumPy and Pandas

• Exposure to microservices architecture and service-oriented systems

• Experience building or consuming web services (e.g., Flask, FastAPI)

• Familiarity with gRPC and Protocol Buffers

• Experience with containerisation technologies such as Docker or Kubernetes

• Understanding of automated testing practices (unit and integration testing)

• Strong analytical mindset and interest in large-scale data and financial systems

• Ability to work effectively in a collaborative, multi-disciplinary team environment

Next steps:

This is an excellent opportunity to join a world-leading Capital Markets consultancy which offers the chance to accelerate your career by working with financial institutions. If you are interested in the opportunity, kindly send a copy of your updated CV to [email protected]. We look forward to having a call to discuss this in more detail at your earliest convenience.