Python Engineer. Fixed Income. £130,000-£140,000 + 15% guaranteed bonus + Benefits. Hybrid 2 days a week in Central London office.

Python Engineer. Fixed Income. £130,000-£140,000 + 15% guaranteed bonus + Benefits. Hybrid 2 days a week in Central London office.

My client is a top tier investment management house. My clients Fixed Income Front Office Investments Technology team is looking for an accomplished Senior Software Engineer in build out a suite of next-generation n-tier, native cloud-based applications. In this role, you will be part of the Fixed Income Front Office software engineering team whose mission is to enhance and develop new capabilities needed by Portfolio Managers, Analysts, and Quants using modern web/cloud technologies.

More specifically, this role is within the Fixed Income Portfolio Management Decision Support team (PMDS) - focused on delivering data, reporting, and insights to Portfolio Managers as part of their daily workflow.

This is a hands-on, full SDLC role that provides an opportunity to tackle sophisticated business, logic, data, and technical challenges. The role requires you to take responsibility for the full development cycle – from requirement gathering to the delivery of the end-product. You will be part of an agile team of smart, hardworking people.

We will give you ambitious work that has an impact, opportunities to learn and grow, and a collaborative culture that encourages every member of our team to bring their point of view to the table - because that’s how we help our clients succeed. You must demonstrate a willingness to overcome technical challenges in a fast-paced environment.

The firm has made a significant investment in the future of their technology and data. They have a big vision of what they can achieve and have ambitious plans to get there. They hold collaboration as a core tenet of how they accomplish their goals. Are you interested in a team-oriented approach, working alongside curious and enthusiastic learners? They are a group of diverse problem solvers, all working together with different perspectives to create optimal solutions that continue to propel us to great heights. We encourage you to apply!

Minimum qualifications:

• Strong academic record and a degree with high mathematical and computing content e.g., Computer Science, Mathematics, Engineering or Physics from a leading university.
• 5+ years of progressive software engineering experience
• Expert knowledge of Python and related popular libraries
• Experience in building containerized applications and deploying to cloud infrastructure such as Amazon Web Services (AWS), Microsoft Azure, or similar providers.
• Proficient on Linux platforms with knowledge of various scripting languages
• A solid understanding of tradable financial instruments (securities, derivatives) and capital markets
• Experience of front office software development with an Asset Management, Hedge fund or Investment Bank
• Strong knowledge of one or more relevant database technologies e.g., PostgreSQL, SQL Server
• Strong in Test-Driven Development and proficiency in writing maintainable and adaptable code

Preferred qualifications:

• Computer Science, Math or Financial Engineering degree
• Strong knowledge in other programming language(s) – e.g., Java, JavaScript, Typescript, Kotlin
• Strong with a range of open-source frameworks and development tools - Python (NumPy, SciPy, pandas), gRPC, Git, CI/CD, etc.
• Experience specifically dealing with fixed income financial products in asset management

Role Responsibilities

• Innovate, design and deliver in terms of high reliability, scalability and extensibility
• Build large scale distributed computing programs to generate insightful analytics Solve unique problems that have a broad impact and delivery of business value
• Deliver within a team and as an individual developer
• Demonstrate master hands-on capability to drive components to delivery
• Advocate and contribute to software engineering best practices, including those that have enterprise-wide impact

Business and Analytical Skills

• Shows willingness to take on the complexities of the domain – Portfolio Management, Quantitative Research, Risk, etc.
• Has experience of working with complexity and multiple stakeholders, for example portfolio managers, analysts and quants
• Balances strategic and pragmatic concerns when solving problems
• Makes decisions that are cognizant of the firm’s broader business strategy

Technical Skills

• Conversant in multiple technologies and learns new technologies quickly
• Demonstrates deep experience in automated testing and techniques
• Performs as an expert in multiple parts of the software lifecycle (e.g., coding, testing, development) and coaches others on such practices
• Experienced in several styles of architecture (e.g. real-time, batch, orchestration)
• Provides a clear and concise explanation of business strategy, technical concepts, designs or implementation to a non-technical audience
• Stays abreast of industry trends and technologies and knows when/how/if to apply them appropriately

If you are interested to learn more, please send a CV for immediate consideration.