ABOUT MASTERWORKS:

Masterworks is a fintech platform that allows anyone to invest in SEC-qualified shares of multi-million dollar paintings by names like Banksy, Basquiat, and Picasso. In just three short years, we have built a portfolio of nearly $700 million in world-class artworks, introducing over 575,000 individuals to the $1.7 trillion art market. 

Masterworks has been covered by major media publications such as The New York Times, CNBC, The Wall Street Journal, and the Financial Times, and was recently recognized as one of the Top 50 Startups in the US by LinkedIn. 

In 2021, Masterworks achieved unicorn status raising $110M in its Series A fundraising round at a valuation exceeding $1 billion. 

Our 180+ employees are based out of our offices at Brookfield Place in the Financial District of New York City. With an entirely in-office team, there are endless opportunities for collaboration, innovation, and learning.

WHY MASTERWORKS?

• Do you thrive on disruption?
• Do you want to live at the cutting edge of finance, technology, and art? 
• Are you passionate about democratizing alternative investments? 
• Do you enjoy meaningful work that has a noticeable impact on business performance?

If you answered “Yes” to any of the above, we'd love to hear from you!

POSITION OVERVIEW:

We are seeking a Data Analyst to join the Masterworks Research team. A successful candidate will have exceptional analytical and programming skills and be passionate about efficiency, optimization, data analysis and data visualization. The ideal candidate has excellent proficiency in Python and SQL, as well as other data analytics and visualization tools. We are looking for highly motivated individuals who thrive in a dynamic, team-based environment with the initiative to work independently. The role would be a member of the Research and work closely with our Director of Art Market Research as well as CEO, Head of Acquisitions and Head of Private Sales. This role reports to the Director of Art Market Research. 

RESPONSIBILITIES OVERVIEW:

• Perform statistical analyses and test hypotheses on art data 
• Create visualizations via dashboards and reporting to provide insights into artists markets
• Summarize various characteristics of the art market (across time, segments and price points)

REQUIREMENTS AND PREFERRED EXPERIENCE:

• Skillset

  • Python
  • SQL
  • Javascript
  • Visualization: plotly, matplotlib, seaborn / ggplot2
  • Statistical Modeling and packages: Scikit-learn, statsmodels/ stats
  • Time Series Analysis
  • Data wrangling: pandas, numpy
  • Experience with APIs / Markdown / LaTeX / SAS is a plus

• Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, or another related field

• 3 - 5 years of experience in data analytics and statistics

• Experience conducting economic and / or research projects (economic or finance based) asset classes

• Basic understanding of hypothesis testing and fundamentals of statistics

• Ability to analyze data and channel it through concise and compelling frameworks

MEASUREMENTS OF SUCCESS IN FIRST 90 DAYS:

• Contribute to the Masterworks dashboard to help create visualizations that summarize the key metrics of artists markets
• Aid in the testing of 10+ hypotheses on artist markets to better understand relevant metrics when look

ADDITIONAL REQUIREMENTS:

• Must be able to work in the office in NYC.
• Must be eligible to work in the US - no exceptions.

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BENEFITS AT MASTERWORKS:

• Daily catered lunches
• Free admission to art museums and galleries
• Health, dental, and vision coverage with FSA options
• PTO and 401k
• Discounted Equinox membership
• Happy hours, company outings, social clubs, and more!

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HOW DOES MASTERWORKS THINK ABOUT COMPENSATION?

The compensation range for the role is $80-110k (inclusive only of base salary, and exclusive of other potential competitive benefits such as on-target commission, bonus payments, and equity). Our ranges are very broad to accommodate all types of candidates and encourage growth. Specific compensation offered to a candidate may be dependent on factors such as education, experience, qualifications, and alignment with market data. Exceptional candidates may receive salaries outside of the posted ranges.

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