Financial Data Scientist β€” Hybrid (3:2)

Financial Data Scientist β€” Hybrid (3:2)

Full-Time 60750 - 74250 Β£ / year (est.) Home office (partial)
Jupiter Asset Management

At a Glance

  • Tasks: Advance data strategy by building predictive models and generating investment insights.
  • Company: Jupiter Asset Management, a leading firm in London with a focus on innovation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Curiosity-driven environment with a focus on practical outcomes.
  • Why this job: Join a dynamic team and make a real impact in the finance industry.
  • Qualifications: Experience in Python, SQL, and strong communication skills.

The predicted salary is between 60750 - 74250 Β£ per year.

Jupiter Asset Management in London seeks a highly capable Data Scientist to advance our data strategy, focusing on statistical modelling, generating actionable investment insights, and exploring alternative data research.

You will work in a dynamic team that values curiosity and practical impact.

The role requires building predictive models in Python and SQL, collaborating with investment professionals, and communicating complex findings clearly to stakeholders.

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Financial Data Scientist β€” Hybrid (3:2) employer: Jupiter Asset Management

Jupiter is an exceptional employer, offering a vibrant and supportive work culture in the heart of London. With a focus on employee well-being, our office features ample natural light, recreational facilities, and a hybrid working model that promotes a healthy work/life balance. We are committed to fostering professional growth through collaborative opportunities within our Internal Audit team, making it an ideal environment for those seeking meaningful and rewarding careers in investment management.

Jupiter Asset Management

Contact Details:

Jupiter Asset Management Recruitment Team

We think you need these skills to ace Financial Data Scientist β€” Hybrid (3:2)

Communication Skills
Python
SQL
Problem-Solving Skills
Automation
Attention to Detail
Data Engineering