Quantitative Research & Portfolio Optimization Specialist

Aplaro Ltd; United Kingdom; Hybrid; GBP 110,000 - 170,000; Full time

Benefits offered by this job

Competitive salary

Bonuses and benefits

Company‑funded retirement contribution

Flexible work options

Generous time off and health benefits

2-for-1 charitable gifts matching

Job summary

Capital Group seeks a seasoned quantitative researcher to advance portfolio construction and optimization. You will develop models, collaborate with leadership, and drive research priorities in a rigorous, peer‑reviewed environment.

Ideal candidates hold an advanced quantitative degree and 5+ years of related experience, with strong programming in Python/Julia/R and proficiency in optimization tools like Gurobi or Mosek.

Qualifications

• 5+ years of experience in optimization and portfolio construction.
• Proficiency with Python, Julia or R and optimization software (Gurobi/Mosek).
• Strong grounding in econometrics and financial theory: asset pricing, portfolio theory, factor models.

Responsibilities

• Deliver high-impact research on portfolio construction and optimization.
• Develop and maintain quantitative models and frameworks.
• Collaborate with QRA leadership and portfolio strategists to align research with priorities.
• Work with the QRA team in a peer‑reviewed approach to quantitative research.
• Respond to deadline‑driven requests requiring quantitative analysis.
• Participate in the development of quantitative research processes at Capital Group.
• Communicate results and recommendations to stakeholders clearly.
• Help develop computing environments to support research workflows.

Skills

Optimization methods

Quantitative programming (Python/Julia

Optimization software (Gurobi/Mosek)

Advanced communication skills

Self-motivation/initiative

Education

Advanced degree (MFE, MSc, PhD) in quantitative field

Tools

Gurobi

Mosek

Job description

Capital Group seeks a seasoned quantitative researcher to advance portfolio construction and optimization. You will develop models, collaborate with leadership, and drive research priorities in a rigorous, peer‑reviewed environment.

Ideal candidates hold an advanced quantitative degree and 5+ years of related experience, with strong programming in Python/Julia/R and proficiency in optimization tools like Gurobi or Mosek.