Specialist Sales

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 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, San Francisco, Sao Paulo, Hong Kong, Singapore, Tokyo and Sydney, and work collaboratively with our Account Management teams, Product Development and Engineering teams.

**What's the role?**

**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, Engineering to push internally for enhancements or fixes to the APIs or the platform
- Provide continued support for clients to impact revenue generation
- 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**:

- Minimum 5 years' experience in Financial Services or a Financial Technology company
- Work experience in Python and machine learning
- Experience in Equity and/or Fixed Income/Credit/macro quantitative (quantamental) 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
- Strong presentation and communication skills in English
- Demonstrated continuous career growth within an organisation
- Bachelor's degree or degree equivalent qualifications

**We'd love to see**:

- Previous front office work experience in financial markets working on/with the buy side
- Knowledge of other programming languages such as R, VBA or similar
- Experience or qualifications with cloud computing is a plus
- Experience or qualifications in ML/NLP

**If this sounds like you**:
**Why Bloomberg?**
Bloomberg is committed to diversity. It drives our innovation. At Bloomberg, you'll have the opportunity to go above and beyond and to take risks. You'll be a part of an organization that is entering new markets, launching new ventures, and pushing boundaries. Our ever-expanding array of technology, data, news, and media services fosters innovation and empowers clients, and offers nearly limitless opportunities for career growth.

**Find out more here**:
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.