div 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 20,000+ employees across 176 offices globally, we provide the spaces and systems that allow our teams to work together with agility, productivity and collaboration, no matter where they are. /divdivbr/divdiv Quantitative investment funds have grown exponentially over the last decade and Bloomberg is uniquely positioned at the forefront of this financial revolution.

The Desktop Build Group (DBG) works closely with Bloomberg clients to assist them to implement quantitative investment strategies and research using our new Python Quant development platform. Powered by Jupyter Lab, the quant platform combines world-class open source Python libraries with the worlds leading financial database, allowing our clients to generate unique research in quantitative finance and help them to capture alpha in a highly competitive landscape./divdivbr/divdiv As a global team we have people based in London, New York, San Francisco, Sao Paulo, Hong Kong, Singapore, Tokyo and Sydney, and work collaboratively with our Account Management teams, Product Development and Engineering teams./divdivbr/divdivstrong Whats the role?/strong/divdiv 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 worlds most comprehensive financial database, you will have the opportunity to apply advanced data science technologies to generate real world investment models./divdivbr/divdiv 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./divdivbr/divdivstrong We'll trust you to: /strong/divdivulli 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/lili 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/lili Liaise between the client, product development teams, and engineering, to push internally for enhancements or fixes to the APIs or the platform/lili Provide continued support for clients to impact revenue generation, and provide assistance on new strategies or processes they wish to implement/lili Help develop documentation, training material, and internal tools to better service quant clients/li/ul/divdivbr/divdivstrong You will learn on the job: /strongbr/divdivulli A deep understanding of quantitative strategies and investment knowledge across Equities, ESG, Fixed Income, FX and Commodities/lili In depth knowledge of the Bloomberg Terminal, the worlds leading financial analytics platform for investment professionals/lili Open Source Python technologies for advanced data visualizations, widgets and analytics/lili You will be supported with training to improve your expertise in data science, quantitative investment strategies and capital markets/li/ul/divdivbr/divdivstrong You'll need to have: /strongbr/divdivulli Minimum 5 years experience in Financial Services or a Financial Technology company/lili Work experience in Python, and machine learning / natural language processing/lili Experience in Equity and/or Fixed Income/Credit/macro quantitative (quantamental) investment strategies/lili A strategic mindset and demonstrable commercial acumen - being able to weigh up the business opportunities of a project before execution/lili Highly articulate, consultative, and confident in interactions with clients/lili Experience working within a collaborative environment where you partner with both clients and colleagues/lili Strong presentation and communication skills in English/lili Demonstrated continuous career growth within an organisation/lili Bachelor's degree or degree equivalent qualifications/li/ul/divdivbr/divdivstrong We'd love to see: /strongbr/divdivulli Previous front office work experience in financial markets working on/with the buy-side/lili Knowledge of other programming languages such as R, VBA or similar/lili Experience with big data analysis or machine learning applications in finance/lili Experience or qualifications with cloud computing/li/ul/divdivbr/divdivstrong If this sounds like you: /strongbr/divdiv Apply if you think were a good match. Well get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: a href=https://www.bloomberg.com/professionalhttps://www.bloomberg.com/professional/a/divdivbr/divdivstrong Why Bloomberg?/strong/divdiv We're individuals with diverse backgrounds, talents, and experiences who take on big challenges and create even bigger impact through our work.

We're interested in what makes you you, and how we can create opportunities for you to channel your unique, personal energy and grow to your fullest potential./divdivbr/divdivstrong Learn more about our office and benefits: /strong/divdiv Singapore | a href=http://www.bloomberg.com/singaporewww.bloomberg.com/singapore/a/divdivbr/div