Consultant - Data Scientist

Join our experienced 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 base. 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 Morgan Stanley, Tiger Management, and Ernst & Young.

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

WHO WE NEED :

Arootah is searching for experienced Data Scientists to consult to our highly prestigious client base.  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 processfor a leading Hedge Fund or Family Office.

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What You'll Do

• 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.

Who You Are

Qualifications

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$150 - $350 an hour

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Become part of a well-funded disruptor in the finance and technology space.

The ability to work remotely.

Flexible hours and the ability to choose your assignments.

The hourly consulting rate of pay is expected to be a minimum of $150 and a maximum of $350, per hour. The hourly rate 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.