Bloomberg is looking for a Quantitative Researcher/Data Scientist to join the Quant Research Solutions team.

You will be responsible for innovative research work that would include developing methodologies across many disciplines such as financial time series analysis, forecasting models, quantitative strategies and asset allocation using machine learning & advanced statistical methods.

You’ll need to have:

• Master in a quantitative field required; PhD preferred
• 3+ years of relevant professional experience in quantitative finance
• Strong knowledge of pricing/risk models, statistics and machine learning.
• Numerical computing experience using Python/R/MATLAB; experience with the Python and its Scientific Stack (NumPy, SciPy, Scikit-learn, Matplotlib, Pandas, Jupyter etc) preferred
• Interest and initiative in learning new technologies and mathematical methodologies including working with and extracting insights from new alternative datasets, trying new computing infrastructures (GPU/cluster computing) and frontiers of machine learning methods (e.g. Deep Learning).

If this sounds like you:

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: http://www.bloomberg.com/professional

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.