Multi-Asset Quant Strategist

Truelancer AI; United States; Remote; USD 120,000 - 210,000; Full time

Job summary

Truelancer AI seeks a Quantitative Financial Analyst & Portfolio Strategist to design and optimise multi-asset portfolios, develop pricing and risk models, and manage derivatives strategies. The role emphasizes data-driven investment decisions across asset classes.

Ideal candidates have strong programming skills (Python, R, MATLAB) and experience in risk modelling, capital allocation, and financial engineering. Strong communication is essential.

Qualifications

• Portfolio construction and optimisation experience.
• Quantitative finance models and statistical techniques.
• Derivatives, options, and structured products experience.
• Multi-asset investment strategies knowledge.
• Risk modelling and capital allocation frameworks understanding.
• Financial engineering concepts applications.
• Trading environments and market risk management exposure.
• Insurance capital models familiarity (Solvency II, actuarial).
• Strong programming skills in Python, R, MATLAB.

Responsibilities

• Design and implement portfolio construction and optimisation strategies across multi-asset portfolios.
• Develop and maintain quantitative models for pricing, forecasting, and risk.
• Analyse derivatives and options strategies to enhance portfolio performance.
• Build multi-asset investment frameworks including equities, fixed income, and alternatives.
• Develop risk models for market, credit, liquidity risk and capital allocation.
• Apply financial engineering techniques to structure innovative investment solutions.
• Monitor and manage trading and market risk in real time.
• Contribute to insurance capital models and actuarial-based assessments.
• Collaborate with teams to translate data insights into investment strategies.
• Prepare detailed reports for stakeholders and senior management.

Skills

Portfolio construction & optimisation

Quantitative finance models

Derivatives & options

Multi-asset strategies

Risk modelling & capital allocation

Financial engineering concepts

Trading environments & market risk

Insurance capital models

Programming: Python, R, MATLAB

Analytical & communication skills

Education

Bachelor’s or Master’s in Finance/Math/Statistics/Economics/Engineering

CFA/FRM/Actuarial certifications (preferred)

2-7 years relevant experience

Job description

Truelancer AI seeks a Quantitative Financial Analyst & Portfolio Strategist to design and optimise multi-asset portfolios, develop pricing and risk models, and manage derivatives strategies. The role emphasizes data-driven investment decisions across asset classes.

Ideal candidates have strong programming skills (Python, R, MATLAB) and experience in risk modelling, capital allocation, and financial engineering. Strong communication is essential.