Python/AI Developer at Quanteam, London, £Competitive Rate

WHO WE ARE


Quanteam Group is a Consultancy firm specialising in the Financial sector, in London, Paris, Brussels, New York and Singapore.


Since 2007, our 800 consultants provide our sector with expertise and capacity across different areas such as Financial Engineering and Quantitative Research, Regulations and Market Change, IT Transformation and Innovation.

Our major clients are Corporate & Investment Banks, Asset Managers, Financial Associations, Hedge Funds, Brokers, Trading Companies, and Insurance Companies.


The company participates in major Programmes driven by Business, Technology and Regulatory initiatives, and we bring business advice through quantitative, risk, front office and organizational experience as well as IT expertise via Business Analysis, Development, Business Continuity and Change Management.


As part of Quanteam Group, Quanteam UK counts more than 90 consultants, delivering our expertise to major Financial institutions in London.


DEPARTMENT OVERVIEW



FO I.T. Client and Sales facing is an I.T. group providing applications to the Investment Bank Global Market Front Office for e-commerce of both EQD and fixed income products. xc3 x82 It comprises approximately 200 people across London, Paris, New York and Mumbai. Amongst other things, this group is responsible for the development of the award-winning Cortex and SmartDerivatives applications and for electronic connectivity to customers and exchanges throughout the world.



Within this department the Cortex Common Services team is responsible for the development of server side applications to support both business functions. xc3 x82 These include a Credit Check Service incorporating real time MDDR, PFE and Net Open Position checks, Reference Data Services, blotter view services supporting the thin client and platform services managing connectivity and comms across the wider platform.

To further enhance our offering, we are seeking to appoint a talented Java developer with a proven experience in software engineering and ideally a good knowledge of Credit Risk and/or FX Options Pricing and Booking.


KEY RESPONSIBILITIES

Participate in the agile full based project software development life cycle including technical analysis, documentation, development, testing and code reviews.

Provide 3rd line application support on a rotation basis within the team.

Propose and provide feedback from experience/knowledge on architecture, design and technology choices for the cutting-edge eCommerce platforms

Maintain and further improve the quality of deliveries and secure iterations

Continuously improve the methods used

Mentor less experienced developers through pair programming and code review

Fully participate in requirement and design meetings for new functionality



SKILLS & EXPERIENCE


* AI and Machine Learning: xc3 x82 Proficient in Python for AI and large language model (LLM) development. Experience with productionising AI models and monetising applications. Core platform built in Python with React/TypeScript, so strong Python skills and a proactive approach are essential.

xc3 x82 Python Development: xc3 x82 Expertise in Python 3+ with Django and FastAPI, focused on building robust, scalable, and secure applications.

Additional Programming Languages: xc3 x82 In-depth knowledge of at least two of the following: xc3 x82 C#, Java, .NET, xc3 x82 or similar enterprise-level languages. Full proficiency in all is not required, but a strong blend is preferred.

xc3 x82 DevOps and Deployment: xc3 x82 Solid grasp of DevOps, containerisation (Kubernetes), and system monitoring, with experience in CI/CD processes (e.g., Jenkins, Ansible). Familiarity with API development and system deployment in enterprise settings.

Database Skills: xc3 x82 Strong SQL and database management knowledge.

Machine Learning Knowledge: xc3 x82 Practical experience in model testing and popular ML libraries.

Investment Banking or Finance Experience: xc3 x82 Several years of software development, ideally with at least 1 year in front-office investment banking or equivalent, working on high-performance, low-latency systems critical to profit and loss (PnL).

xc3 x82 Programming Best Practices: xc3 x82 Excellent knowledge of coding best practices, design patterns, and standard technologies (e.g., Spring, Hibernate).

Communication Protocols: xc3 x82 Understanding of communications protocols and messaging applications.

Academic Background: xc3 x82 Ideally holds a degree in engineering, sciences, or economics.

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COMPETENCIES

A passion for development and delivery of quality software.