Remote Quant Trader: High-Impact Algo Design

Placements24; Bloemfontein; Hybrid; ZAR 900.000 - 2.500.000; Vollzeit

Benefits dieser Stelle

Competitive base salary

Performance-based bonuses

Remote work

Global, distributed team

State-of-the-art trading technology

Zusammenfassung

Placements24 in collaboration with a cutting-edge quantitative trading firm seeks remote Algorithmic Traders to join a globally distributed team. You will design, develop, implement, and back-test automated trading strategies across financial markets, leveraging Python, C++, and Java in a fully remote setting.

Ideal candidates hold an advanced degree (Master’s or PhD) in a quantitative field, have proven experience in algorithmic trading or quantitative research, and excel at data analysis,

Qualifikationen

• Advanced degree (Master's or Ph.D.) in a quantitative field such as CS, Math, Physics, Statistics or Financial Engineering.
• Proven experience in algorithmic trading or quantitative research.
• Strong proficiency in Python, C++, Java and data analysis libraries.

Aufgaben

• Research, design, develop, and back-test sophisticated algorithmic trading strategies.
• Implement trading strategies using Python, C++, or Java.
• Monitor live trading performance and optimize existing strategies.
• Analyze large volumes of market data to identify patterns and signals.
• Collaborate remotely with researchers, developers, and traders to enhance systems.
• Manage risk within trading portfolios and ensure compliance with firm policies.
• Stay updated on market trends and new trading methodologies.
• Contribute to firm strategy and technology development.

Kenntnisse

Python

C++

Java

Data analysis

Analytical thinking

Ausbildung

Master's or PhD in a quantitative field

Jobbeschreibung

Placements24 in collaboration with a cutting-edge quantitative trading firm seeks remote Algorithmic Traders to join a globally distributed team. You will design, develop, implement, and back-test automated trading strategies across financial markets, leveraging Python, C++, and Java in a fully remote setting.

Ideal candidates hold an advanced degree (Master’s or PhD) in a quantitative field, have proven experience in algorithmic trading or quantitative research, and excel at data analysis,