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Job Details

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Quantitative Data Scientist / Machine Learning

London, United Kingdom, £ £ - Annual Annual, Permanent

Description:

Culture

No politics, collaborative, close-knit team with great growth potential.

Experience

· Expertise in Search engines using machine learning

· Someone who can put together a nice search engine to navigate research and beyond for the objective becomes the equivalent of the Google Bar for our clients.

· Familiar with the concept of indexing data, tagging it, and then understanding queries in natural language to give back the precise document or sentence that the user is looking for.

· Building high-performance components for both live trading and simulation defining and increasing automation and robustness of the research infrastructure including alpha estimation, risk modeling, and backtesting components

· Conducting alpha research and designing systematic strategies.

· Build trading algorithms

· Understanding data science techniques to create the best results

· Higher scientific training (statistics, mathematics, physics), you have 2 to 5 years of experience in Data Science.

· Supporting desk strategists by providing them with quantitative tools

· Strong technical skills with experience in a quantitative analysis team (coding / developing in python, modeling, systems)

· Building efficient storage and access scheme for data and reference data across price, economic, and big data sets

· Researching and implementing performance analytics, including signal performance and post-trade analytics

Experience Required:

· MS or Ph.D. in finance, computer science, mathematics, physics, or another quantitative discipline.

· Experience Data Science.

· Experience researching

· Strong programming skills with a high level of proficiency in Python.

• Location: London

• Salary: £ Competitive + Bonus and great amounts of benefits

REFER A FRIEND/ COLLEAGUE

• If you're interested in this opportunity, please forward you're CV ASAP. Alternatively, if you would like to know more information or have a confidential discussion please contact Shanaz Rob - call on (0) emails: for more details.

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Job Details

1304855910
Full Time
London, United Kingdom
Permanent
£ £ - Annual Annual