---
title: 'Software Engineering Lead (MetaTech) at WorldQuant'
canonical: 'https://feeny.ai/job/software-engineering-lead-metatech-worldquant-singapore-7512vdygq4wv'
type: 'job'
last_seen: '2026-09-08'
---

# Software Engineering Lead (MetaTech) at WorldQuant

- **Company:** WorldQuant
- **Location:** Singapore
- **Posted:** 2026-03-19
- **Last confirmed live:** 2026-09-08
- **Apply:** https://job-boards.greenhouse.io/worldquant/jobs/4661177006

## 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 MetaTech team is the engine behind the evolution of WorldQuant's proprietary research platform — empowering Researchers and Portfolio Managers to create, deploy, and lead template trading strategies at scale. MetaTech owns both foundational infrastructure and the researcher-facing features that expand what is possible within the platform. The team responds rapidly to emerging user needs while driving long-term platform modernization, spanning simulation engine upgrades, orchestration services, caching infrastructure, and the enablement of entirely new classes of strategies.

As a Software Engineering Lead in MetaTech, you will be responsible for the technical direction of a platform that sits at the intersection of quantitative research and large-scale distributed systems. You will need deep fluency in both worlds: the ability to engage credibly with Researchers and PMs about their workflows and goals, and the technical depth to architect, deliver, and modernize the systems that power them. You will lead the team's roadmap across multiple workstreams — from expanding the range of supported strategy types to infrastructure modernization — and lead a team of engineers to implement it.

## The Role

- Drive the MetaTech technical roadmap, balancing researcher-facing feature delivery with foundational infrastructure investment
- Lead architectural design and hands-on development across the platform, including simulation orchestration, caching, monitoring, and strategy lifecycle management
- Engage directly with Researchers and Portfolio Managers to understand their needs and translate them into well-scoped technical solutions
- Drive infrastructure modernization efforts, including simulation engine migrations, distributed caching, and platform observability
- Partner with cross-functional stakeholders across Research, Platform, and Operations to ensure reliable, scalable delivery
- Identify opportunities to integrate agentic workflows into existing platform systems, enabling automation of complex, multi-step research and operational processes
- Manage and mentor a team of engineers, fostering technical excellence and accountability

## What You'll Bring

- Bachelor's degree in Computer Science, a related field, or equivalent job experience
- 6+ years of hands-on industry experience building scalable, high-reliability backend systems
- Deep familiarity with the Python ecosystem, particularly for data-intensive and systems-level work
- Strong systems engineering instincts: distributed computing, service orchestration, and large-scale data pipelines
- Working knowledge of quantitative investment and research concepts, with an ability to engage fluently with quant researchers and PMs
- Experience with simulation systems, financial data infrastructure, or research platform engineering is a strong plus
- Working knowledge of a Unix/Linux environment
- Excellent interpersonal and communication skills — able to bridge technical and non-technical audiences
- Excellent debugging and problem-solving skills, with a bias toward root-cause analysis over workarounds
- Solid understanding of data structures, algorithms, and system design trade-offs
- Relational and non-relational database experience
- C++ 11 (or greater) experience is a plus, particularly for simulation or performance-critical contexts
- Previous people management experience is a plus

By submitting this application, you acknowledge and consent to terms of the [WorldQuant Privacy Policy.](https://www.worldquant.com/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.

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.

## About WorldQuant

## Company Overview
- **One-liner**: A global quantitative asset management firm that develops and deploys systematic investment strategies across asset classes using data, technology, and a global talent network.
- **Entity Type**: Private (bootstrapped – no external funding rounds disclosed)
- **Headquarters**: Old Greenwich, Connecticut, USA (primary hub among 28 global offices)
- **Founded**: 2007
- **Founders**: Igor Tulchinsky

## Core Business
- **Primary industry/industries**: Quantitative asset management, financial services, data science, artificial intelligence
- **Target customers**: Institutional investors (B2B); also serves individual contributors through its BRAIN platform and educational initiatives
- **Mission or purpose statement**: “Leverage data, talent and prediction to tackle complex challenges beyond financial markets” (from founder’s statement)

## Products & Services
- **Systematic Investment Strategies**: Core business – proprietary algorithms for global markets across equities, fixed income, currencies, and commodities.
- **BRAIN Platform**: A web-based platform that invites external talent to build and submit predictive signals using WorldQuant’s technology; contributors can earn compensation based on signal quality.
- **Data Exchange**: Enables individuals and organizations to submit data products for evaluation and feedback by WorldQuant’s research team.
- **WorldQuant University**: Provides free, accredited online education – a Master of Science in Financial Engineering and an Applied Data Science Lab.
- **WorldQuant Ventures**: Invests in early-stage technology companies solving real-world problems with emerging technologies.

## Market Standing
- **Valuation/Assets Under Management**: Not publicly disclosed.
- **Key Metric**: >1,100 employees across 28 offices worldwide.
- **Notable Investors/Partners**: Founder Igor Tulchinsky self-funded; partnerships with organizations like AnitaB/Grace Hopper, Correlation One, She Codes, and Women 2.0 for diversity recruiting.
- **Growth Signals**: Global office expansion (28 locations); continuous hiring across research, technology, and portfolio management; launch of AI initiatives led by Co-CIO Paul Griffin; free education programs that build talent pipeline.

## Competitive Advantages
- **Proprietary technology and data infrastructure**: Decisions driven by millions of algorithms and a proprietary platform that processes vast amounts of data.
- **Multi-discipline collaboration**: Researchers, technologists, and portfolio managers work together in “multi-teaming” structures, fostering cross-functional innovation.
- **Global talent model**: Offices in over 15 countries to access diverse talent pools; emphasis on hiring where talent exists rather than centralizing.
- **Culture of transparency and experimentation**: Firm-wide sharing of ideas, regular internal conferences, and innovation sprint projects.
- **Free, accredited education programs** (WorldQuant University) that create a direct recruitment funnel and brand loyalty.

## Strategic Focus
- **Artificial Intelligence**: Co-CIO Paul Griffin leads AI initiatives, with dedicated AI scientist and deep researcher roles being actively hired.
- **Global talent expansion**: Continued hiring across all regions, especially in Asia (Vietnam, India, China) and Eastern Europe (Hungary, Armenia, Romania).
- **Platform diversification**: Growing BRAIN and Data Exchange to crowdsource signals and external data sources.
- **Innovation and diversification**: Researchers participate in dozens of simultaneous innovation projects to explore new asset classes and strategies.

## Why Work Here
- **Culture highlights**: Emphasis on “ideas matter” – knowledge shared through regular firm-wide meetings, external speakers, lecture series, and self-directed learning. Employee-run groups (Multicultural, Pride, Women of WorldQuant, Working Parents). A formal Diversity & Inclusion council meets with senior management.
- **Remote/hybrid/office policy**: Primarily office-based across 28 global locations, but with flexible working arrangements (“freedom and tools they need to deliver results and work in a way that is best for them”).
- **Notable perks**: Leadership mentoring program (WorldQuant Leadership Institute), soft-skills training, multi-teaming for career breadth, and partnerships with external mentorship organizations. Free access to WorldQuant University courses.
- **Engineering culture**: Technologists work alongside researchers and portfolio managers; dedicated Technology Division with roles like AI software developer, data engineer, and C++ developer. Emphasis on inventing new methods and advancing quantitative research.

## Sources
1. [worldquant.com – Company Overview](https://www.worldquant.com/)
2. [worldquant.com – Careers](https://www.worldquant.com/careers/)
3. [worldquant.com – How We Work](https://www.worldquant.com/how-we-work/)
4. [worldquant.com – Who We Are](https://www.worldquant.com/who-we-are/)
5. [greenhouse.io – Jobs at WorldQuant](https://job-boards.greenhouse.io/worldquant/jobs/4565597006)

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