National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Java Development Manager (Investment Banking) - London

London
3 weeks ago
Create job alert

Java Development Manager (Investment Banking) - London (Hybrid)

MUST HVAE INVESTMENT BANKING EXPERINCE

A leading investment bank is looking for a technical hands-on Java Development Manager who will work very closely within the derivatives development team across EMEA. This role is will be responsible for delivering cutting-edge technology solutions that support revenue growth, regulatory compliance, and strategic trading initiatives across Derivatives Sales & Trading.

Key Responsibilities

Own the end-to-end delivery of the Front Office Derivatives Technology stack - from architecture through to deployment.
Lead a team of 10 developers, fostering high performance, innovation, and continuous improvement.
Collaborate closely with global technology leads, Product Managers, and Front Office stakeholders to shape and deliver the strategic technology roadmap.
Consolidate and modernise a complex distributed tech landscape into a scalable, consistent architecture aligned with global frameworks.
Drive Agile delivery practices and oversee the implementation of high-value, high-priority software changes.
Ensure audit readiness, compliance with regulatory standards, and smooth integration with vendor platforms.
Oversee vendor selection, cost management, and external partnerships in line with commercial and strategic goals.What We're Looking For

Deep technical expertise in Java .NET, C#, Python, and familiarity with DevSecOps, CI/CD, and automated testing frameworks.
A strong grasp of Derivatives products, market structures, and quantitative modelling.
Experience designing and delivering enterprise-level trading solutions, with a strong understanding of IT General Controls and enterprise data governance.
Hands-on experience working in Agile delivery environments (Scrum, Sprints, Releases).
Excellent communication skills with the ability to interact with stakeholders at all levels

Related Jobs

View all jobs

Quantitative Developer - Trading Algorithms

Quantitative Researcher – Fast Trading Strategies (London and New York)

Data Engineering Consultant

Senior Data Engineer

Data Engineer

Data Engineer

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.