Job Purpose:
- You will use your equity market 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.
Your Responsibilities:
- 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
- In depth knowledge of Bloomberg Terminal – the world’s leading financial analytics platform for investment professionals
- You will be sent on 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
- You will learn Open Source python technologies for advanced data visualizations, widgets and analytics.
Skills and Qualifications:
- Expert coding skills in python
- Experience in equity quantitative (quantamental) investment strategies or Equity Risk Premia strategies
- Have a strategic mind set and demonstrable commercial acumen – be able to weigh up the business opportunities of a project before execution
- Highly articulate, consultative, and confident in interactions with clients
- Prior experience working on the sell side in other asset classes: Fixed Income, Commodities or FX
- 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 with big data analysis or machine learning applications in finance.
Source: for more information click here.
