Hybrid Quantitative Investment Analyst

Railpen

Greater London

Hybrid

GBP 60,000 - 90,000

Full time

9 days ago

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Benefits offered by this job

Competitive salary
28 days annual leave + bank holidays
Generous annual bonus
Railways Pension Scheme
Life Assurance 4x
Private Medical Insurance
Employee assistance programme
Health cash plan
Eye care vouchers
Hybrid working
Flexible benefits

Job summary

Railpen in London is recruiting an Investment Analyst to join our Public Markets Investments team on a permanent basis with hybrid working. You will develop quantitative models and support multi-asset research to generate robust investment insights.

The role requires around three years' experience in quantitative research, a strong quantitative degree, and proficiency in Python; SQL and Bloomberg BQuant knowledge are a plus, with opportunities for growth in a collaborative, governance‑driven

Qualifications

  • Approximately three years’ experience in quantitative investment research or related field.
  • Strong academic background in a quantitative discipline (math, stats, CS, engineering, econometrics).
  • Proficiency with Python for data analysis and model development; SQL familiarity is desirable.
  • Knowledge of financial markets, portfolio risk and performance measurement.

Responsibilities

  • Develop and maintain quantitative models to identify investment opportunities.
  • Apply data science and analytics to support fundamental equity research and dashboards.
  • Monitor portfolio performance, risk and exposures to inform decisions.
  • Build datasets and reporting tools; collaborate across teams to drive data governance.

Skills

Quantitative investment research
Portfolio analytics
Quantitative risk
Python for data analysis
SQL
Bloomberg BQuant/BQL
Statistics / econometrics / time‑ser.»
Financial markets knowledge

Education

Quantitative degree

Tools

Python
SQL
Bloomberg BQuant/BQL

Job description

Railpen in London is recruiting an Investment Analyst to join our Public Markets Investments team on a permanent basis with hybrid working. You will develop quantitative models and support multi-asset research to generate robust investment insights.

The role requires around three years' experience in quantitative research, a strong quantitative degree, and proficiency in Python; SQL and Bloomberg BQuant knowledge are a plus, with opportunities for growth in a collaborative, governance‑driven

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