Senior Data Strategist at WorldQuant

Singapore

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Quantitative TradingIndustries

Requirements

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
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)
Significant experience in sourcing new datasets particularly in unstructured data

Responsibilities

Source new datasets particularly in unstructured data to generate new trading signals
Manage relationships with data providers
Devise and implement improvements to the operational roadmap of how data is currently used
Conceptualize how to use new data in creative and innovative ways
Partner closely with researchers and portfolio managers to understand their data needs and requirements
Coordinate with vendors, legal, compliance, and the data engineering teams to facilitate procurement and data onboarding
Establish relationships with vendors
Participate in industry events and conferences
Conduct in-depth research leveraging data exchanges, industry publications, and sell-side research
Communicate learnings to key stakeholders in the company
Build an enduring business edge for the firm in data sourcing

Skills

Data Sourcing

Unstructured Data

Data Vendor Management

Data Strategy

Alpha Generation

Trading Signals

Quantitative Research

Financial Strategies

WorldQuant

Quantitative asset management using algorithms

About WorldQuant

WorldQuant is a quantitative asset management firm that focuses on managing investments for institutional clients like pension funds and sovereign wealth funds. The firm uses data and predictive algorithms to analyze financial markets and identify investment opportunities. Its approach involves algorithmic trading, where mathematical models guide investment decisions. Unlike many competitors, WorldQuant encourages a culture of experimentation and innovation among its employees, allowing everyone to contribute ideas regardless of their position. The company's goal is to generate returns for its clients while maintaining a commitment to equal opportunity in the workplace.

Greenwich, ConnecticutHeadquarters

2007Year Founded

$148.5MTotal Funding

N/ACompany Stage

Quantitative Finance, Financial ServicesIndustries

1,001-5,000Employees