Junior Quantitative Analyst

WorldQuant; Austin (TX); On-site; USD 135,000 - 165,000; Full time

Benefits offered by this job

Fully paid medical and dental insurance

401k

Generous PTO

Employee discounts for gym memberships

Training and development courses

Job summary

WorldQuant is seeking a motivated Junior Quant Researcher/Developer in Austin, Texas to work alongside a Quantitative Portfolio Manager. Candidates should have a strong academic background in computer science, mathematics, or related fields, alongside programming expertise in Python and/or C++. Responsibilities include processing datasets, conducting experiments, and improving Python codebases.

WorldQuant offers competitive compensation, including a base salary of $150,000 USD, comprehensive benefits, and ample opportunities for professional growth. Join us in our mission to drive innovative financial strategies!

Qualifications

• Undergraduate, Masters or PhD degree from a top university.
• Demonstrated ability to program in Python and/or C++.
• Working knowledge of Linux.

Responsibilities

• Search for, understand, and clean raw datasets.
• Properly featurize data based on finance and ML models.
• Contribute improvements to our overall Python codebase.

Skills

Python programming

C++ programming

Data structures and algorithms

Problem-solving

Attention to detail

Education

Undergrad, Masters or PhD in a relevant field

Tools

Linux

Job description

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.

The Role:

We seek candidates interested in being based in our Austin office to work alongside a Quantitative Portfolio Manager

The ideal candidate is a motivated junior quant researcher/developer with knowledge and interest at the intersection of financial markets, machine learning, and data engineering.

Key responsibilities include:

• Searching for, understanding, and cleaning raw datasets from WQ’s data library
• Drawing on intuition about both finance and ML models to appropriately featurize data
• Carrying out controlled experiments to discern the economic value of their features and feature combinations
• Productionize features and models via DAG scheduler
• Contribute day-to-day improvements to our overall Python codebase.

Attention to and genuine interest in the detail of the financial data being used is valuable – the candidate should be motivated to develop their domain expertise by engaging in what may seem to be tedious inspection and understanding of data sources in order to produce appropriate and high quality models

The candidate will be mentored closely by an experienced member of our team and gain experience in understanding complicated financial data, real world forecasting models, and experience the joy of seeing their work through to production with an impact on live trading

Finally, there is no limit on what can be done or on the significance of the contribution. Creative use and development of any tools which scale, automate, systematize, or improves this research process is a highly valued contribution, with an enormous space available for creativity and impact

What You’ll Bring:

• Undergrad, Masters or PhD degree from a top university, with a major in computer science, mathematics, statistics, physics, engineering, or quantitative finance discipline
• Demonstrated ability to program in Python and/or C++, with a strong background in data structures and algorithms
• Working knowledge of Linux
• Strong problem-solving abilities
• Strong moral integrity and work ethic
• Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of:
  • twenty vacation days that are pro-rated based on the employee’s start date, at an accrual of 1.67 days per month,
  • three personal days, and
  • ten sick days.
• Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code
• Training: learning and development courses, speakers, team-building off-site
• Employee resource groups

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 $150,000 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 [e-mail], and we will address your concerns promptly.

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