About the job
Join our dynamic team at Numerixs-Quant, a leading data-driven firm specializing in the algorithmic trading sector. We foster a collaborative environment, seeking innovative minds ready to make significant contributions.
About You:
As a motivated individual with a PhD background, you thrive on intellectual challenges and have a passion for problem-solving. Your aim is to apply your academic expertise to real-world financial markets, and you possess a strong drive to continuously improve your skills and methodologies in data analysis.
Key Responsibilities:
Lead and complete projects that enhance existing trading strategies.
Automate trading system functionalities through programming.
Utilize Python and relational time-series databases (kdb+) for coding.
Analyze complex data sets to discover investment insights.
Create predictive models to refine trading strategies.
Manage your own projects while collaborating with colleagues and portfolio managers.
What You Bring:
A PhD or advanced degree in mathematics, physics, or related quantitative fields.
Strong analytical skills and meticulous attention to detail.
A natural curiosity and a critical mindset focused on results.
Proficiency in coding to implement innovative solutions.
Experience with Python programming.
Solid background in statistics and mathematical modeling.
Excellent verbal and written communication skills.
A results-driven approach in a performance-focused environment.
A commitment to high standards in your work.
Preferred Qualifications:
Experience in financial markets or related fields is advantageous.

