Python Quantitative Developer, Algorithmic Execution

Python Quantitative Developer, Algorithmic Execution

New York OR Old Greenwich

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.

Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role : We are seeking an exceptionally talented Vice President, Quantitative Execution Services and Analytics to join our WQBook team.

Job Responsibilities (include, but are not limited to the following)

• Providing recommendations to improving equity trading algorithms’ performance and reducing execution costs.
• Analyzing high frequency market and execution data for the purpose of extracting signals with price forecasting power.
• Developing and maintaining quantitative models and software solutions to measure and / or forecast price impact of trading and equity market properties.
• Creating statistical dark pool and exchanges ranking models.
• Developing methodology to compare brokers’ algo trading performance.
• Providing recommendations to distribution of funds among portfolio managers.
• Creating internal reports on trading PnL and trading algorithms’ performance.
• Analyzing academic literature, journals and research papers.
• Ad hoc quantitative research projects.

What You’ll Bring :

twenty vacation days that are pro-rated based on the employee’s start date, at an accrual of 1.67 days per month,

Pay Transparency :

WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits.

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations. When finalizing an offer, we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

The Base Pay Range For This Position Is $160,000 – $180,000 USD.

At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws. If you believe any required details are missing from this job posting, please notify us at WQHR_US@WorldQuant.com , and we will address your concerns promptly.

By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.

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