Portfolio Manager

Location: REMOTE

Employment Type: Full‑time

Number of Openings: 1

Job Overview

A dynamic and analytical Portfolio Manager is required to join a Quant firm who is sharing 40% of the PnL. The role centres on developing, executing, and overseeing quantitative trading strategies while maintaining rigorous risk controls and regulatory compliance. The ideal candidate will thrive both autonomously and collaboratively with traders, developers, and compliance professionals to deliver superior portfolio performance.

Key Responsibilities

• Design, implement, and continuously refine quantitative trading strategies across multiple asset classes.


• Perform back‑testing and scenario analysis using statistical and time‑series methods to validate strategy robustness.


• Manage the full portfolio lifecycle, including order execution via Order Management Systems and monitoring via market‑data APIs.


• Develop and maintain risk‑management frameworks, ensuring adherence to regulatory requirements and internal limits.


• Conduct data handling, cleaning, and analysis using SQL, Pandas, NumPy, and related analytical tools.


• Collaborate with software engineers to integrate high‑frequency trading platforms and optimise latency‑critical code.


• Apply machine‑learning techniques to enhance signal generation and predictive modelling.


• Maintain version control of all code and documentation using Git.


• Communicate portfolio performance, risk metrics, and strategic recommendations to senior stakeholders.


• Identify and resolve technical and operational issues promptly, leveraging strong problem‑solving skills.

Essential Qualifications & Skills

• Over 2 years of professional experience in portfolio management.


• Proficiency in Python, C++, and Java programming languages.


• Strong analytical abilities with hands‑on experience in statistical methods, time‑series analysis, and scenario analysis.


• Demonstrated expertise in data handling (SQL, Pandas, NumPy) and version control (Git).


• Experience with high‑frequency trading platforms, market‑data APIs, and order management systems.


• Knowledge of machine‑learning techniques applied to trading strategies.


• Solid understanding of regulatory compliance and risk‑management frameworks.


• Excellent communication and collaboration skills; capable of working both autonomously and within a team.

Compensation & Benefits

• 40% PnL share - $200 million to deploy


• Market leading base salaries

We are an equal opportunity employer and welcome applications from all qualified individuals regardless of race, gender, disability, or any other protected characteristic.

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