Quantitative Financial Analyst & Portfolio Strategist (India)

Truelancer AI; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Truelancer AI is seeking a highly skilled Quantitative Financial Analyst & Portfolio Strategist to design and implement advanced portfolio strategies across multi-asset classes. You will build quantitative models for pricing, forecasting, and risk assessment, and apply financial engineering techniques to deliver innovative investment solutions.

The role requires strong programming skills (Python, R, MATLAB) and deep expertise in risk modelling, capital allocation, and insurance capital models.

Qualifications

• Strong experience in portfolio construction and optimisation.
• Deep knowledge of quantitative finance models and statistical techniques.
• Hands-on experience with derivatives, options, and structured products.
• Proven multi-asset investment experience.
• Advanced risk modelling and capital allocation knowledge.
• Financial engineering concepts and applications.
• Experience with trading environments and market risk management.
• Familiarity with insurance capital models (Solvency II a plus).
• Strong programming skills in Python, R, MATLAB or similar.
• Excellent analytical, problem-solving, and communication abilities.

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 derivatives and options strategies to enhance portfolio performance.
• Build multi-asset investment frameworks including equities, fixed income, and alts.
• 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 assessments.
• Collaborate with cross-functional teams to translate data insights into actionable strategies.
• Prepare detailed reports and communicate insights to stakeholders and senior management.

Skills

Portfolio construction

Quantitative models

Derivatives & options

Multi-asset strategies

Risk modelling

Capital allocation

Financial engineering

Trading risk management

Insurance capital models

Python/R/MATLAB

Analytical skills

Education

Finance or Math degree

CFA/FRM preferred

Tools

Python

R

MATLAB

Job description

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.