Data Scientist, Consultant

June 3, 2024

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Arootah

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Arootah is a comprehensive solution provider for the alternative investment industry, offering a wide array of services tailored to different stages of alternative investment management. They specialize in advisory services, talent acquisition, development, and executive coaching to help firms achieve peak performance. Arootah employs a process-driven approach combined with cutting-edge technology and expert guidance to deliver transformative experiences to their clients. Their services also extend to corporate wellness and health coaching, emphasizing a holistic approach to business and personal development. With a strong foundation in the intersection of finance, technology, and wellness, Arootah empowers firms and individuals to unlock their full potential.

Coaching • Advisory • Personal Development • Professional Development • Hedge Fund

11 - 50 employees

💸 Finance

🧘 Wellness

📋 Description

• Scope, build, and lead the investment data science and analysis practice for the investment team of a Hedge Fund or Family Office. • Perform exploratory analyses as well as clustering and modeling of large structured and unstructured datasets in order to deploy production-ready models in the domains of lead scoring, look-a-like, retention and more, including post-deployment monitoring. • Partner closely with a firm’s investment team to turn datasets into actionable insights by attending weekly pipeline meetings and working 1:1 with investment team leads to support the sourcing, selection and monitoring of all investment targets. • Build portfolio company dashboards to track all relevant KPIs and value creation metrics for existing portfolio investments. • Track and benchmark existing companies or investment alternatives in the pipeline by building a platform to help analyze datasets across all target investments. • Maintain and update all internal datasets for comparable valuation metrics across all investment team funds and strategies. • Work closely with the Technology and IT team to develop a best-in-class technology stack to enable the firm's data science practice. • Investigate data quality issues affecting investment analytics and risk metrics; coordinate resolution with other groups as required. • Promptly respond to investment data requests from key customers, including Traders, Portfolio Managers, and investment personnel. • Continually investigate new tools and techniques, as well as emerging standards to support investment data controls and operational readiness for investment mandates.

🎯 Requirements

• A Bachelor’s Degree in Computer Science, Data Science, Engineering, Information Systems, or a related field. • Master’s Degree in a quantitative field (e.g. Computer Science, Mathematics, Statistics, or other related field) is a plus. • 6+ years of proven experience as a Data Scientist at a Hedge Fund, Investment Management firm or Family Office. • Proficiency in Python, R, and SQL as well as data visualization and dashboarding tools (e.g. Tableau, Looker, QlikView) and Big Data technologies such as Apache Spark and cloud computing platforms. • Hands-on expertise and knowledge of emerging data science techniques, technologies, and potential business applications for Machine Learning/Artificial Intelligence. • Demonstrated understanding of financial concepts, different asset classes, investment vehicles, security types, and application of data science in financial domain. • Comfort with high volumes of unstructured and structured data, with the ability to leverage multiple datasets to draw both granular and big picture conclusions. • Strong written and spoken communications skills; ability to communicate ideas clearly and confidently, articulate issues and recommend solutions.

🏖️ Benefits

• Best practice reviews. • Developing realistic and effective action plans. • Breaking apart goals into actionable steps. • Advising on vendor selection and oversight. • Creating and implementing policies, procedures, and control measures. • Evaluating each client’s advancement toward goal actualization through key performance indicators (KPIs) and scoring matrices. • Special projects or other areas of need.