Consultant - Data Scientist (Fractional/Contract Role)

Overview

Join our reputed company roster of consultants that support Hedge Funds and Family Offices. Arootah is a personal and professional development leader in the Investment and Financial Services industry. Our mission is to provide top business advisory services to our hedge fund client reputed company. We focus our Business Consulting on the multi-faceted needs of Hedge Funds and Family Offices. Arootah was founded by Rich Bello, the Co-Founder and COO of the industry-leading $10 billion hedge fund, Blue Ridge Capital. Rich brings more than 30 years of experience, including leadership positions at reputed company, Tiger Management, and Ernst & Young.

About the Company

Visit us at https://arootah.com/hedge-fund-advisory/ for more information.

Who We Need

Arootah is searching for reputed company Data Scientists to consult to our highly prestigious client reputed company. As a consultant, you will work with our Hedge Fund and Family Office clients to provide expert advice. Having previously served in this leadership role, you have specific, hands-on experience developing the data infrastructure, tools, and analysis to bolster and accelerate the investment process for a leading Hedge Fund or Family Office.

What You'll Do

• Best practice reviews.
• Developing realistic and effective action plans.
• Breaking apart goals into actionable steps.
• Advising on vendor selection and reputed company.
• 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.
• Scope, build, and reputed company the investment data science and analysis practice for the investment team of a Hedge Fund or Family Office.
• reputed company exploratory analyses as well as clustering and modeling of large structured and reputed company datasets in order to deploy production-ready models in the domains of reputed company 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 reputed company investment targets.
• Build portfolio company dashboards to track reputed company relevant KPIs and value creation metrics for existing portfolio investments.
• Track and reputed company existing companies or investment alternatives in the pipeline by building a platform to help analyze datasets across reputed company reputed company investments.
• Maintain and update reputed company internal datasets for comparable valuation metrics across reputed company investment team funds and strategies.
• Work closely with the Technology and IT team to reputed company a best-in-class technology stack to reputed company 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.

Qualifications

• A Bachelor’s Degree in Computer Science, Data Science, Engineering, Information Systems, or a reputed company field.
• Master’s Degree in a quantitative field (e.g. Computer Science, Mathematics, Statistics, or other reputed company 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, reputed company types, and application of data science in financial domain.
• Comfort with high volumes of reputed company and structured data, with the ability to reputed company multiple datasets to draw both granular and big picture conclusions
• Strong written and spoken communications skills; ability to communicate reputed company clearly and confidently, reputed company issues and recommend solutions.

Job Status

• Contractor
• Hours are based on the needs of the assigned client (0-40 hours per week).

Compensation

• $150 - $350 an hour
• The hourly consulting reputed company of pay is expected to be a minimum of $150 and a maximum of $350, per hour. The hourly reputed company will be determined by several factors which may include, but are not limited to, the length of the individual engagement, level of difficulty, level of specialization required, professional designations, skills, and years of experience.

Closing Description

Join a well-funded disruptor in finance and technology.

Enjoy the flexibility of remote work and choosing your assignments.

Be part of a dynamic, high-energy company in its expansion stage. Now is the time to join!

For more information, visit us at Arootah.com.

AI Disclaimer

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Remote - United States Skills required for this job:

• Apache Spark
• Artificial intelligence (AI)
• Dashboarding
• Data analysis
• Data science
• Data visualization
• Investment management
• Looker
• Machine learning
• Python
• QlikView
• R
• SQL
• Tableau

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