Quick facts
- Pay
- ₹0–₹2,800 one-time
- Type
- Contract
- Location
- Remote — India
- Experience
- 2–7 years
- Skills
- Python, MATLAB
- Platform
- Truelancer AI — 101 open jobs
- Typical pay at Truelancer AI
- $12–80/hour · median $58 (54 jobs on our site)
- Payout
- Not published by Truelancer AI
- Apply
- Free to apply — never pay to get AI training work
Job Title: Quantitative Financial Analyst & Portfolio Strategist
About the Role
We are seeking a highly skilled Quantitative Financial Analyst & Portfolio Strategist to join our team. This role focuses on developing advanced quantitative models, optimising portfolio strategies, and driving data-driven investment decisions across multiple asset classes. The ideal candidate will bring strong analytical capabilities, deep financial expertise, and hands-on experience in risk modelling and financial engineering.
Key Responsibilities
Design and implement portfolio construction and optimisation strategies across multi-asset portfolios
Develop and maintain quantitative financial models for pricing, forecasting, and risk assessment
Analyse and manage derivatives and options strategies to enhance portfolio performance
Build and refine multi-asset investment frameworks including equities, fixed income, and alternative assets
Develop risk models for market, credit, and liquidity risk, and support capital allocation decisions
Apply financial engineering techniques to structure innovative investment solutions
Monitor and manage trading and market risk exposure in real time
Contribute to the development of insurance capital models and actuarial-based financial assessments
Collaborate with cross-functional teams to translate data insights into actionable investment strategies
Prepare detailed reports and communicate insights to stakeholders and senior management
Required Skills & Expertise
Strong experience in portfolio construction and optimisation
Deep knowledge of quantitative finance models and statistical techniques
Hands-on expertise in derivatives, options, and structured products
Proven experience with multi-asset investment strategies
Advanced understanding of risk modelling and capital allocation frameworks
Proficiency in financial engineering concepts and applications
Experience in trading environments and market risk management
Familiarity with insurance capital models (e.g., Solvency II, actuarial frameworks)
Strong programming skills (Python, R, MATLAB, or similar)
Excellent analytical, problem-solving, and communication skills
Preferred Background
Quantitative Analyst
Financial Engineer
Portfolio Manager
Actuarial Professional
Qualifications
Bachelor’s or Master’s degree in Finance, Mathematics, Statistics, Economics, Engineering, or related field
CFA, FRM, or actuarial certifications (preferred)
2-7 years of relevant experience in quantitative finance, asset management, or risk modelling
NOTE: Pay will vary depending on the years of experience of the candidate.
Guidelines
Truelancer AI verifies each project before posting. Apply on Truelancer AI; never pay to get work.