The Quantitative Analyst will work closely with macro Portfolio Managers to develop signal-generative models and market monitors using Python. Responsibilities include building analytical models, applying statistical methods, and employing machine learning techniques for data analysis and trade idea generation.
Job Title: Quantitative Analyst
Location: London
Department: Rates
Permanent
Department overview:
The Quantitative Analyst role provides an opportunity to work in a team of experienced macro Portfolio Managers. You will be building and improving signal-generative models and market monitors using python and contributing to trade idea generation.
Role requirements:
- Build analytical models, and assist in the development of tools required by the team.
- Capability to apply comprehensive Statistical mathematics methods (such as Monte Carlo methods) in model building.
- Deep understanding of machine learning techniques (such as gradient boosting) to digest large data sets to produce valuable analytics.
- Probabilistic approach to analytics creation.
- Scenario analysis from outcome distributions.
- Develop, validate and maintain trade valuation, risk management and financial simulation models.
- Data Analysis: You will be managing, analysing and interpreting large data-sets to deliver research that will be helpful for trade idea formation.
- Building front end tools to help PMs with idea generation
Experience required:
- Bachelor’s/Master’s/PhD in Maths, Statistics, Physics, Computer Science or related courses from a leading university.
- Extensive modelling skills in Python coding language.
- Professional experience in a data science/statistics or a trading role is preferred
BlueCrest is committed to providing an inclusive environment for its workforce. As an employer, we provide equal opportunities to all people regardless of their gender, marital or civil partnership status, race, religion or ethnicity, disability, age, sexual orientation or nationality.
Top Skills
Python
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