Senior Data Strategist

WorldQuant; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

A leading quantitative investment firm in Singapore is seeking a Senior Data Strategist to drive data discovery and utilization. You will source new datasets, manage vendor relationships, and analyze the data landscape to capitalize on opportunities. Ideal candidates bring over 8 years of data experience, a relevant degree, and strong communication skills. This role offers a chance to significantly impact the firm's data strategy and investment processes.

Qualifications

• 8+ years of experience with data and data vendors.
• Fluency in a couple of Asian languages is preferred.
• Excellent verbal and written communication skills.

Responsibilities

• Source new datasets, particularly unstructured data.
• Manage relationships with data providers.
• Analyze the data landscape and develop strategic plans.

Skills

Data sourcing

Data analysis

Relationship management

Negotiation skills

Communication skills

Education

Degree in economics, finance, or quantitative/technical/business discipline

Job description

Overview

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.

Responsibilities

The role seeks a Senior Data Strategist who will be key to remaining at the forefront of data discovery and utilization. Responsibilities include:

• Source new datasets, particularly unstructured data, to generate new trading signals
• Manage relationships with data providers
• Analyze the data landscape and develop short-term and long-term plans to capitalize on opportunities
• Improve the operational roadmap for current data usage and conceptualize how to use new data creatively and innovatively
• Partner with researchers and portfolio managers to understand data needs and coordinate with vendors, legal, compliance, and data engineering teams for procurement and onboarding
• Establish relationships with vendors, participate in industry events and conferences, conduct in-depth research using data exchanges, industry publications, and sell-side research
• Communicate learnings to key stakeholders and seek to build an enduring data-driven edge for the firm

What You’ll Bring

• Degree in economics, finance, or quantitative/technical/business discipline from a top university
• 8+ years of experience with data and data vendors; fluency in a couple of Asian languages preferred
• In-depth knowledge of financial instruments, industry terminology, and a quantitative investment process
• Experience negotiating terms of service and data licensing agreements
• Motivated by the transformational effects of data; experience with index data and providers is a major plus
• Excellent verbal and written communication skills, and strong organizational abilities
• Ability to interact effectively with senior executives and key stakeholders (investment team, data engineering, etc.)
• Mature, thoughtful, with strong work ethic and collaborative, team-oriented approach
• Experience designing and implementing strategic data programs and initiatives
• Knowledge of statistics and data science; good understanding of AI and LLMs