Job description
Description du poste
Providing support to the UK research team, ensuring databases remain up to date, meeting client requests for data and information, and assisting in the preparation of research documents and presentations.- The role would also involve the maintenance and the development of quant tools so knowledge of VBA and Power Bi as well as experience with statistical software (e.g. EViews, R, python) would be a plus.
- Someone with a more quantitative and statistical background as well as academic specialisation in derivatives.
1. Help with the update, maintenance and the development of quant tools and data bases for the purposes of the UK research process.
2. Support the integration of the existing research quant tools into the global research platform.
3. Investigate opportunities for developing new quant tools, and identify projects that could enhance the team’s forecasting ability.
4. Assist team in the collation of information / data for the purposes of forecasting or report preparation.
5. Assist in the preparation of templates for research documents ahead of publication.
6. Help update PowerPoint and Power Bi presentations, collating data for charts and ensuring forecasts are consistent with those available in other publications.
7. Maintain the profit / loss record of Crédit Agricole CIB’s trade recommendations – price trade ideas in spot, vanilla and exotic options, interest rate futures.
The role reports to the Head of G10 FX Research
Comply with all applicable legal, regulatory and internal Compliance requirements, including, but not limited to, the London Compliance manual and Compliance policies and procedures as issued from time to time; Financial Security requirements, including, but not limited to, the prevention of Financial Crime and Fraud including reporting obligations to the Money Laundering Reporting Officer.
- Maintain appropriate knowledge to ensure to be fully qualified to undertake the role. Complete all mandatory training as required to attain and maintain competence.
- Experience of using statistical/econometric packages – e.g. Eviews, R.
- Experience in using MS office packages, especially MS excel, MS Access, Power
- Attention to detail
- Ability to cope with different demands and prioritise
- Good time management
- Self-motivated
- Genuine interest in financial markets
- Good team skills
- Strong communication skills
- Strong MS office skills, particularly MS Excel and MS Access.
- Programming experience in a statistical language – Eviews, R, Python
- VBA programming skills.
- Experience with Power BI, DAX
12 Months
Bac + 3 / L3