Senior Data Strategist at WorldQuant

, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

15 Dec, 25

Salary

0.0

Posted On

16 Sep, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Strategy, Data Sourcing, Unstructured Data, Financial Instruments, Data Licensing Agreements, Communication Skills, Organizational Skills, Collaboration, Statistics, Data Science, AI, LLMs, Negotiation, Research, Vendor Management, Quantitative Investment Process

Industry

Financial Services

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: WorldQuant is seeking an exceptional individual to join the firm as a Senior Data Strategist. We aspire to remain at the forefront of data discovery and utilization and this person will be key to us realizing that goal. The person in this role will be an expert with significant experience in sourcing new datasets particularly in unstructured data, which will be key in generating new trading signals, and in managing relationships with data providers. Deep expertise and strong background in Data Strategy (includes analyzing the data landscape, determining the best opportunities for the company based on this analysis, and developing short term and long-term plans for the firm to capitalize on the identified opportunities) would make the candidate profile more compelling. They would devise and implement improvements to the operational roadmap of how we currently use data, and also importantly conceptualize how to use new data in creative and innovative ways. The successful candidate will partner closely with researchers and portfolio managers to gain a good understanding of their data needs and requirements, and coordinate with vendors, legal, compliance, and the data engineering teams to facilitate procurement and data onboarding. To discover new sources of valuable data, this person will establish relationships with vendors, participate in industry events and conferences, conduct in-depth research leveraging data exchanges, industry publications, and sell-side research, and communicate their learnings to key stakeholders in the company. They will seek to build an enduring business edge for the firm in data sourcing. What You’ll Bring: Degree in economics, finance, or quantitative, technical or business-related discipline from a top university 8+ years of experience working with data and data vendors; Fluency with a couple of Asian languages preferred In-Depth knowledge of financial instruments, industry lexicon and a quantitative investment process Experience negotiating terms of service and contracts (particularly data licensing agreements) Motivated by the transformational effects of data; Experience with index data and providers is a major plus Excellent communication skills in both verbal and written form, and strong organizational skills Able to interact effectively with senior executives and key stakeholders (investment team, data engineering, etc.) Mature, thoughtful, with strong work ethic and the ability to operate in a collaborative, team-oriented culture Experience designing and implementing strategic data programs and initiatives Knowledge of statistics and data science; Good understanding of AI and LLMs 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. 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.

Responsibilities

The Senior Data Strategist will be responsible for sourcing new datasets, particularly unstructured data, and managing relationships with data providers. They will also analyze the data landscape and develop plans to capitalize on identified opportunities for the firm.