Quantitative Data Analyst, Investment Data

• Create processes to assess, explore, and link billions of data points.
• Test structured and unstructured data sets for data quality and reliability.
• Assess new data opportunities for quality and usefulness.
• Evaluate your data solutions for sensibility, accuracy, and bias.
• Collaborate with quantitative researchers – support alpha projects with your data expertise.
• Collaborate with technology specialists – help trade off application performance and operational feasibility.
• Support production deployments of your work to ensure long-term reliability.
• Enable clarity of and access to your work through robust documentation and exposition.
• Present findings and recommendations to key stakeholders in a clear, concise, and compelling manner.
• Analytical Mindset – You think critically and creatively and are adept at balancing intuition with statistical validation.
• Financial Knowledge – Desire to acquire the financial context needed to understand your stakeholders and make data decisions with impact.
• Self-Starter – You are motivated and willing to take personal accountability for quality and timeliness of work.
• Collaborative Approach – You thrive in a collaborative environment and value shared success. You proactively solicit and provide input and excel at communicating complex and technical concepts.
• Time Management – You are able to manage and prioritize multiple ongoing projects.
• Academic Training – At a minimum, an undergraduate degree in finance, mathematics, statistics, computer science, engineering, or related discipline. Completion of a relevant graduate degree is considered an asset.

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