Quantitative investment manager — Banque Cantonale Vaudoise
CHF 83'500 - 126'500
Banque Cantonale Vaudoise · Lausanne (VD)
- Location
- Lausanne
- Contract
- full-time
- Posted
- 8 days ago
SalaryCHF 83'500 - 126'500
Role overview
What if your professional history continues at the BCV?
Join the first universal bank in the canton of Vaud, one of the strongest banks in the world, and its 2,000 collaborators.
Take part in the success of an institution rated AA by Standard & Poors since 2011 and contribute to the growth of the Vaud economic fabric as well as to the attractiveness and vitality of our region.
- What if your professional history continues at the BCV?
- Join the first universal bank in the canton of Vaud, one of the strongest banks in the world, and its 2,000 collaborators.
- Master or PhD in finance, financial engineering, physics, mathematics, CFA an asset,
- 1 to 3 years of experience in quantitative research, systematic or index product management in a buy-side or hedge fund environment,
Key requirements
- Master or PhD in finance, financial engineering, physics, mathematics, CFA an asset,
- 1 to 3 years of experience in quantitative research, systematic or index product management in a buy-side or hedge fund environment,
- Good understanding of equity markets, long/short strategies, risk factors, portfolio optimization and performance attribution, Very good mastery of Python; Matlab appreciated,
- Ability to appropriate new IT tools (library, framework), use them and contribute sporadically to a modern workflow (Git/Gitlab, CICD),
- Experience with pandas, NumPy, SciPy, scikit-learn, Jupyter, financial databases, Bloomberg or equivalent tools,
- Analytical spirit, rigour, autonomy and ability to communicate clearly, excellent team spirit,
- Common English and French (working languages).
- Let us write together three stories, one of your career, one of your bank, one of our region.
Application process
- If this position is for you, apply now and participate in the promising future of the BCV.
Additional details
- Good understanding of equity markets, long/short strategies, risk factors, portfolio optimization and performance attribution, Very good mastery of Python; Matlab appreciated,
Notes and original content
- Your profile:
- Good understanding of equity markets, long/short strategies, risk factors, portfolio optimization and performance attribution,
- Very good mastery of Python;
- Matlab appreciated,
