Client Quant Developer, BQuant Enterprise - Financial Solutions

Client Quant Developer, BQuant Enterprise - Financial Solutions Location London Business Area Sales and Client Service Ref # 10044383

Description & Requirements

Bloomberg is a global leader in business and financial information, news and insight, and we use innovative technology to deliver trusted data and bring transparency to the financial markets. Our customers around the globe rely on us for the information and tools they need to make critical investment decisions and remain connected across all sides of the financial community. And, to ensure the best experience for our 26,000+ employees across more than 150 locations around the world, we provide the spaces and systems that allow our teams to work together with agility, productivity and collaboration, no matter where they are.
The Bloomberg Financial Solutions department is at the forefront of ensuring success for our customers and employees alike. Our team comprises several key pillars: sales, service, operations, culture and brand. As a department, we are united by a common goal: We create meaningful relationships with clients by understanding their needs and delivering exceptional end-to-end support from sales and implementation, through their ongoing relationship with Bloomberg.
Our Team We’re Bloomberg. We sit at the heart of the financial markets, from the largest sell-side institutions right through to the two person hedge fund - we’re an integral part of the financial markets workflow in every corner of the world. We provide our users with up to the millisecond market moves and analytics as well as connecting them with their counterparts and the wider community of 350,000 Bloomberg Terminal subscribers.
Our Sales teams are industry renowned for their subject matter expertise and platinum service levels. You’ll have industry renowned training, not just when you join us, but continually throughout your career here. Just like we invest in our products, we invest in our people. It gives us the edge.
Quantitative investment funds have grown exponentially over the last decade and Bloomberg is uniquely positioned at the forefront of this financial revolution.
The Solutions Engineering Team works closely with Bloomberg clients to assist them to implement quantitative investment strategies and research using our new Python Quant development platform. Powered by JupyterLab, the quant platform combines world-class open source Python libraries with the world's leading financial database, allowing our clients to generate unique research in quantitative finance and help them to capture alpha in a highly competitive landscape.
As a global team we have people based in London, New York, Hong Kong, Singapore, Tokyo and Sydney, and work collaboratively with our Account Management teams, Product Development and R&D teams.
The role: This role will see you engaging with top quantitative finance experts to turn their investment ideas into reality. Do you want to get exposure to the latest technology and coolest programming packages, and to be part of shaping a product with great revenue potential for our clients? You will use your financial markets knowledge to consult with Bloomberg clients or prospective clients, helping them to develop and implement their quantitative investment strategies and research on our new Python based quant platform. With access to the world's most comprehensive financial database, you will have the opportunity to apply advanced data science technologies to generate real world investment models. Your role will involve full life-cycle development, from initial pitches to prospective clients, requirement gathering, prototyping, implementation, deployment and adoption. In addition to software development, members of the Team will be expected to aid in retention of existing clients. You will be expected to create resources and client-facing content that is both strategic in its appeal to our audience, while also taking advantage of current events in the marketplace.
We’ll trust you to: - Position our quant platform to prospective clients, working with our account management team to provide thought leadership in the quantamental universe both internally and at external focus events - Work with clients to deep dive into their investment process, coding this into an implemented strategy in our quant platform on behalf of the client - Liaise between the client, product development teams, R&D to push internally for enhancements or fixes to the APIs or the platform - Provide continued support for clients to ensure adoption - Provide assistance on new strategies or processes they wish to implement - Help develop documentation, training material, internal tools to better service quant clients
You will learn on the job: - A deep understanding of quantitative strategies and investment knowledge across Equities, ESG, Fixed Income, FX and Commodities - In depth knowledge of the Bloomberg Terminal, the world's leading financial analytics platform for investment professionals - You will be supported with training to improve your expertise in data science, quantitative investment strategies and capital markets - A deep understanding of quantitative strategies and investment knowledge across Equities, Fixed Income, FX and Commodities - Open Source Python technologies for advanced data visualizations, widgets and analytics
You’ll need to have: - Advanced coding skills in Python - Experience with big data analysis or machine learning applications in finance - Experience in quantitative investment strategies - A strategic mind set and demonstrable commercial acumen - being able to weigh up the business opportunities of a project before execution - Highly articulate, consultative, and confident in interactions with clients - Experience working within a collaborative environment where you partner with both clients and colleagues
We’d love to see: - Previous front office work experience in financial markets - Knowledge of other programming languages such as R, VBA or similar - Experience or qualifications with cloud computing is a plus