Requirements

• Master’s degree or above (or equivalent education) in a STEM discipline.
• Proven experience in software engineering and development, with strong understanding of computer systems.
• Hands-on experience coding Gen AI applications using Python and/or Go/Rust.
• Excellent Python programming skills including analytics and machine learning libraries (pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch) and visualization and API libraries (matplotlib, plotly, streamlit, Flask).
• Experience developing and implementing machine learning models in a financial context.
• Proficiency with version control systems such as Git and familiarity with Linux environments.
• Experience with database and messaging technologies including SQL, KDB, MongoDB, Kafka.
• Experience with caching technologies such as Redis.
• Familiarity with data visualization and dashboard development using Python and BI tools.
• Excellent communication skills, able to convey complex information clearly to both technical and non-technical audiences.
• Ideally, experience with CI/CD pipelines and containerization technologies like Docker and Kubernetes.

Nice to Haves

• Understanding of modern Gen AI technologies such as Agents, MCP.
• Experience with Long Chain, Llama Index, and fine-tuning of models.
• KDB knowledge.
• Familiarity with data workflow management tools like Airflow and big data technologies such as Apache Spark or Ignite.
• Working knowledge of FX markets and financial instruments.

What You'll Be Doing

• Engineer production-scale FX data and analytics Gen AI solutions for various FX use cases using modern Gen AI technologies.
• Collaborate with stakeholders across sales and trading to understand data needs and translate them into impactful data-driven solutions.
• Develop and integrate functionality to ensure adherence to best practices in data management, need-to-know, and data governance.
• Contribute to shaping and executing the overall data strategy for FX in collaboration with the team and senior stakeholders.
• Work closely with FX desks, traders, and quants to understand requirements and translate them into simple and efficient designs.
• Design, develop, and test new features in applications.
• Continuously improve the software development lifecycle and product quality.
• Provide hands-on development and technical leadership for large-scale projects.
• Offer 3rd line support for the production system.
• Mentor junior team members.

Perks and Benefits

• Hybrid working model with up to 2 days working from home per week.
• Competitive base salary with annual review.
• 27 days annual leave plus bank holidays.
• Discretionary annual performance-related bonus.
• Private medical care and life insurance.
• Employee Assistance Program.
• Pension plan.
• Paid parental leave.
• Special discounts for employees, family, and friends.
• Access to extensive learning and development resources.