Research Technology Solutions Engineering Lead
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Job Location:
Monthly Salary:
Posted on:
20 hours ago
Vacancies:
1 Vacancy
Job Summary
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 Research Technology Solutions Engineering team is responsible for working directly with the Research groups inside of WorldQuant to provide consultation services rapid solution prototyping and coordination of technical delivery. This is an agile team that combines its deep knowledge of WorldQuants business technical prowess and project management best practices to ensure researchers are able to quickly achieve their business goals using strategic WorldQuant technology solutions.
As the Research Technology Solutions Engineering Lead you should be no stranger to the world of quantitative investment and research with a proven track-record of successfully supporting such businesses. A multi-hatted role you will need to be able to speak to researchers in their own language while also being able to frame those discussions in the context of current upcoming or not-yet-built technology solutions that WorldQuant employs. You will need to be strongly technical able to quickly reason about and decompose problems in an abstract way while putting together working prototype solutions at a rapid pace. You will also lead a team of engineers / business analysts.
The Role:
- Direct engagement with Research and Technology partners at all levels of the organization
- Rapid Application Development / Rapid Architecture Design including agentic AI systems
- Participate in the development of strategic frameworks tools and services
- Management of both technical and non-technical resources
What Youll Bring
- Bachelors degree in Computer Science a related field or equivalent job experience
- 7 years of hands-on industry experience developing scalable and robust software systems
- Deep familiarity with the Python ecosystem (especially in regards to data)
- Can effectively apply AI as both a productivity enhancer and a component of system design
- A strong understanding of data structures and algorithms
- Working knowledge of quantitative investment and research concepts
- Working knowledge of a Unix/Linux environment
- Excellent interpersonal skills
- Excellent debugging and problem-solving skills
- Excellent relational database knowledge
- Familiarity with other database types is a plus
- C 11 (or greater) / Java / Rust experience is a plus
- Previous people management experience is a plus
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Copyright 2025 WorldQuant LLC. All Rights Reserved.
WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race color creed religion sex sexual orientation or preference age marital status citizenship national origin disability military status genetic predisposition or carrier status or any other protected characteristic as established by applicable law.
Key Skills
- Organizational Management
- Presentation Skills
- Agile
- SAFe
- AWS
- Solution Architecture
- Conflict Management
- Data Management
- Scrum
- Team Management
- Pre-sales
- Management Consulting
About Company
WorldQuant is a quantitative asset management firm, founded in 2007, with more than 850 employees across 13 countries.
