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About the Role:

Fixed Income Front Office technology team is looking for an accomplished Software Engineer in building 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 our Portfolio Managers, Analysts and Quants, using modern web/cloud technologies. This role is placed within the Fixed Income Attribution team focused on delivering high-quality performance attribution analysis in the daily workflow of Portfolio Managers.

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 is how we help our clients succeed. You must demonstrate a willingness to overcome technical challenges in a fast-paced environment.

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.
• 4+ years of progressive software engineering experience
• Knowledge of backend programming language(s) including 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
• 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:
• Experience of front office software development with an Asset Management, Hedge fund or Investment Bank
• A solid understanding of tradable financial instruments (securities, derivatives) and capital markets
• Computer Science, Math, or Financial Engineering degree
• Strong knowledge in other programming language(s) - e.g., JavaScript, Typescript, Kotlin
• Strong with a range of open-source frameworks and development tools - Python (NumPy, SciPy, pandas), gRPC, Git, CI/CD, etc.

Role Responsibilities
• Innovate, design, and deliver in terms of high reliability, scalability, and extensibility
• Solve unique problems that have a broad impact and delivery of business value
• Deliver within a team and as an individual developer
• Demonstrate 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
• Performs well in multiple parts of the software lifecycle (e.g., coding, testing, development) and coaches others in such practices
• Demonstrates experience in automated testing and techniques
• Conversant in multiple technologies and learns quickly
• 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

Read the full job description and apply online on the recuiter's web-site

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