Role: Senior UI Developer
Type: Contract (B2B)
Duration: 6 months rolling – huge pipeline of work
Location: Warsaw office – Remote
Company: Leading Investment Bank

About the Role
We are seeking Senior Frontend Developers to join a dynamic team building front-office sales and trading applications on a cutting-edge microservices platform. You will work closely with traders and cross-functional teams to deliver high-quality, scalable solutions that drive business value.

Key Responsibilities

Develop and maintain enterprise-level frontend applications using React and TypeScript.
Collaborate within a Scrum team to deliver robust software solutions.
Translate complex business requirements into efficient, reusable code.
Implement and maintain testing frameworks (unit, integration, functional).
Provide technical direction and contribute to system architecture.
Work with backend layers (Java wrapper, WebSockets API) and run servers locally.

Tech Stack

React, TypeScript (mandatory)
AG Grid (advanced usage)
Charting libraries (e.g., Highcharts)
Testing frameworks (e.g., VTest)
Backend exposure: Java, WebSockets
Bash scripting, CSS, HTTP security (CORS)

What We’re Looking For

Minimum 5+ years of experience in frontend development.
Strong problem-solving skills and ability to work independently.
Excellent communication for cross-team collaboration.
Exposure to financial markets and risk systems is a plus.

Why Join?

Work on high-impact trading applications for a leading investment bank.
Collaborate with a global team of 100+ engineers.
Access to modern technologies and scalable deployment solutions.

More information about the role:
This role bridges the gap between data science and IT operations, ensuring seamless integration of machine learning and other data science modules into operational workflows.

Key responsibilities

• Streamlines and automates data science products lifecycle from development to deployment and monitoring.
• Designs, develops and maintains tools enabling reproducible experimentation, models versioning, automated deployment, serving etc.
• Tests, refactors, optimizes, and packages the code developed by data scientists. Improves, deploys, monitors and maintains developed models. 
• Builds new integrations with FM systems (PDS, ION, S2BX) allowing to publish signals generated by the data science modules.
• Provides support and guidance to other team members on MLOps best practices.

Requirements

• Experience developing and deploying classical supervised models, ideally in on-prem environments
• Proficient with main Python analytics and ML libraries (numpy, pandas, scikit-learn, keras / tensorflow / pytorch)
• Experience with MLOps platforms like MLFlow / Databricks 
• Experience with Linux (especially RedHat distribution) and version control (git)
• Experience with containerization technologies (docker/podman)
• Familiarity with DevOps pipelines (especially Azure DevOps Services)
• Eager to learn

Nice to have: 

• Experience in data modelling and database management. Experience managing RDBMS (preferably PostgreSQL).
• Familiarity with Airflow or similar data orchestration services

• Familiarity with distributed processing frameworks, esp. Hadoop and Spark/PySpark
• Familiarity with financial markets, esp. fixed income

Company Overview

A prominent global financial institution is seeking a dynamic leader to oversee the engineering function within its risk technology division. The organisation values diversity, innovation, and a collaborative approach to solving complex challenges in the financial sector.

Role Summary

The successful candidate will take charge of a London-based engineering team responsible for developing and maintaining technology solutions that underpin the firm’s risk management capabilities. This is a hands-on leadership position, requiring active involvement in technical discussions, architectural decisions, and the overall delivery of robust, scalable, and secure risk systems.

Main Duties

• Guide and support a team of engineers in designing, building, and deploying platforms for risk analysis and management.
• Collaborate closely with stakeholders across risk, quantitative analysis, trading, and technology to deliver solutions that meet business and regulatory needs.
• Champion the use of modern development practices, including automation, continuous integration, and cloud-native technologies.
• Ensure all systems are resilient, high-performing, and capable of handling sensitive financial information securely.
• Oversee project delivery to ensure compliance with relevant regulations (such as Basel III, FRTB, CCAR).
• Manage technical priorities, address technical debt, and drive timely completion of enhancements and new features.
• Promote a culture of technical excellence, innovation, and ongoing improvement.
• Engage directly in engineering and design sessions, maintaining technical credibility and a practical understanding of the team’s work.
• Build strong relationships with senior leaders across technology and risk functions.

Essential Experience & Skills

• Degree (Bachelor’s or Master’s) in Computer Science, Engineering, or a related discipline.
• At least a decade of experience in software engineering, including a minimum of five years in a leadership or management role.
• Deep expertise in financial services, particularly in areas such as market risk, credit risk, or risk analytics.
• Proficiency in programming languages such as Java, Python, or Scala, and familiarity with modern frameworks.
• Experience working with cloud platforms (AWS, Azure, or GCP).
• Strong grasp of the software development lifecycle, agile methodologies, and DevOps principles.
• Excellent communication and stakeholder management abilities.
• Demonstrated capability to lead cross-functional teams and deliver complex technical projects.
• Solid understanding of financial products and risk concepts.

Technical & Professional Requirements

• Hands-on experience with Java and Oracle (current stack), and exposure to AWS, Python, and Snowflake (future stack).
• Proven ability to manage and mentor engineering teams.
• Strong background in risk technology or related domains (such as P&L or analytics).

Compensation & Working Arrangements

• Base salary in the range of £165,000–£185,000, with total compensation up to £210,000 (including performance-related bonus).
• Permanent, full-time role based in London.
• Hybrid working model, with a requirement to be in the office three days per week.

QA Automation Engineer

Warsaw: Hybrid, 3 days p/w in office (flexible)
B2B Contract

We’re looking for a QA Automation Engineer to join a Middle Office team working across API-based systems, with scope to explore AI-driven testing in the future. This is a hands-on role where you’ll shape automation frameworks, ensure testing best practices, and work closely with front-office and risk management platforms.

What You’ll Do

• Design and execute automated test suites for functional and performance testing.
• Contribute to building frameworks and enhancing existing automation.
• Collaborate with developers, product owners, and business stakeholders to ensure coverage across the trade lifecycle.
• Gain exposure to GenAI / LLM tools to support automation design and efficiency.
• Support onboarding of new products and ensure regulatory compliance (EMIR, Dodd Frank, FRTB).

What We’re Looking For

• 4–8+ years QA/test automation experience, ideally within banking/insurance (front-office or risk platforms a big plus).
• Strong Java (7/8) skills with hands-on experience in:
  • Cucumber, Selenium, JMeter, SoapUI
  • Maven, Gradle, SQL, Unix scripting, Git
• CI/CD pipelines (Jenkins/ADO).
• Good knowledge of software testing best practices across functional, regression, and performance testing.
• Familiarity with GenAI/LLM tools for smart automation design (advantageous).

Why Apply?

• Join a high-performing team at the heart of investment banking technology.
• Shape automation strategy with exposure to AI-driven testing approaches.
• Hybrid flexibility – typically 3 days in office, with flexibility around hours (later start/later finish).
• Clear, efficient 2-stage interview process.