Nurp · 1 week ago

Quantitative Investment Strategist

United States

Full-time

Remote

Senior Level

$150K/yr - $250K/yr

5+ years exp

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Financial Services

Growth Opportunities

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Responsibilities

Create innovative algorithmic trading strategies tailored specifically for the commodity and currency markets, commencing from the conceptual stage.

Supervise and lead the rigorous testing and validation process for these strategies, ensuring their robustness and effectiveness.

Collaborate closely with our development teams to transform these strategies into fully automated algorithmic programs, optimizing them for performance and efficiency.

Exhibit a high level of analytical proficiency by deciphering intricate datasets and market trends, enabling the identification of patterns and informed decision-making. This includes the development of algorithms to explore extensive datasets and resolve complex challenges.

Qualification

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Mathematical MasteryStatistical TechniquesProgramming LanguagesAlgorithm DevelopmentFinancial Market KnowledgeData AnalysisMachine LearningTime-Series AnalysisNLPBusiness AcumenCollaborative Teamwork

Required

Bachelor's degree or higher in a quantitative field such as mathematics, statistics, physics, computer science, or engineering.

Minimum (5) years of experience with statistical software packages and programming languages such as Python, R, MATLAB, and/or compiled languages (e.g. C++).

Advanced training in mathematics, statistics, physics, computer science, or another highly quantitative field.

Minimum (5) years of experience as a quantitative analyst in the financial industry formulating technical trading strategies based on previous price action, and backtesting the data.

Knowledge and experience in financial markets, trading strategies, and related products.

Minimum (5) years of experience in live testing and optimizing trading algorithms based on inefficiencies.

A proven track record of developing successful trading strategies.

Proficiency in probability & statistics (e.g. time-series analysis, machine learning, pattern recognition, NLP).

A background demonstrating strong analytical problem-solving skills.