Quantitative Analyst

Your role :

Do you have experience in Data Science Do you build Models that can be used in scalable investment decisions

We are looking for a Data Scientist to :

•work with other technical specialists to build ETL and model pipelines
•build scalable model libraries customized to investment use cases
•work with the QED analysts to build solutions to Investment questions that span the entire data science workflow (ETL, Modeling, Visualization)
•provide model expertise and advice to teamwide modeling activities

Your team:

You will become a member of the Quantitative Evidence and Data Science (QED) team operating within UBS Asset Management's Investments function. The team reports into the divisional Head of Investments, we work with investment teams globally across all asset classes to leverage data and data science in the investment process in order to achieve better outcomes for our clients. Our diverse team composition, which combines investment, client-facing and data science skills, has allowed us to rapidly drive the adoption of data science in the investment process.

Your expertise :

• Extensive Python experience in the Pydata stack: Pandas, Numpy, Matplotlib
• Experience creating visualizations and dashboards in Streamlit, Tableau, Power BI or Dash
• Experience doing analysis on alternative dataset to support investment decision.
• Understanding of Equity Valuation. Prior experience with equity portfolio management a plus.
• At least level one of CFA and willingness to do all levels
• Knowledge of SQL and PySpark is a plus
• Expertise in Machine Learning libraries in Python is a plus: Scipy, Scikit-learn, TensorFlow
• Innovative and Entrepreneurial Spirit