Senior Quant Analyst – Bayesian Forecasting (Hybrid)

Senior Quant Analyst – Bayesian Forecasting (Hybrid)

Full-Time 49500 - 60500 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Conduct quantitative research and analyse complex data using Bayesian methods.
  • Company: Join a leading firm in central Scotland with a focus on innovation.
  • Benefits: Enjoy a hybrid work model, competitive salary, and professional growth opportunities.
  • Other info: Be part of a dynamic team with a culture of collaboration and learning.
  • Why this job: Make an impact by solving complex problems and communicating insights to diverse audiences.
  • Qualifications: Experience in quantitative analysis and strong statistical skills required.

The predicted salary is between 49500 - 60500 Β£ per year.

Cathcart Associates Group Ltd. is seeking an Experienced Quantitative Analyst to join our central Scotland team.

You will deliver quantitative research across a range of complex questions, using data to identify trends and potential future outcomes.

You'll employ Bayesian methods and a variety of statistical techniques to analyze large, messy datasets, test assumptions, and understand uncertainty, communicating findings to non-technical stakeholders with autonomy as a senior contributor.

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Senior Quant Analyst – Bayesian Forecasting (Hybrid) employer: Cathcart Associates Group Ltd

At Cathcart Associates Group Ltd, we pride ourselves on fostering a collaborative and dynamic work environment that empowers our employees to thrive. With a strong focus on professional development and a commitment to supporting our team members through meaningful projects, particularly in the vibrant city of Liverpool, we offer an excellent opportunity for growth and engagement. Join us to be part of a transformative journey where your contributions are valued and recognised.

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Contact Details:

Cathcart Associates Group Ltd Recruitment Team

We think you need these skills to ace Senior Quant Analyst – Bayesian Forecasting (Hybrid)

Quantitative Research
Bayesian Methods
Statistical Techniques
Data Analysis
Trend Identification
Assumption Testing
Uncertainty Analysis