Arthena

Quantitative Investment in Art Assets

Senior Data Engineer at Arthena

$140k - $160k / 0.10% - 0.75%
Location
New York / Remote
Job Type
Full-time
Experience
3+ years
Connect directly with founders of the best YC-funded startups.
Apply to role ›
Michael DAngelo
Michael DAngelo
Software Engineer / Data Scientist

About the role

Description

Arthena is on a mission to quantify the qualitative. We use machine learning and natural language processing to price art objectively, instantly, and accurately. Through this we develop and deploy a variety of financial instruments and strategies.

As a Data Engineer, you will build tools and infrastructure to gather, prepare, analyze, and visualize art market data. You’ll be working on Arthena’s end to end data pipeline, starting from data ingestion from the outside world, transformation of that information into actionable insights, and working closely with other software engineers, to design the interfaces that our data scientists and art experts use to understand the art market.

If you are excited about being at the forefront of emerging financial market trends and building products that are within a greenfield then we would love to hear from you!

Your Main Tasks

  • Normalize fragmented data sources by developing canonical datasets
  • Design and implement reliable data processing and machine learning pipelines
  • Collaborate with data science and operations to develop product roadmap
  • Build out infrastructure, testing, data model validation, and data visualization systems
  • Design scalable systems and making architectural decisions
  • Project scoping, sprint planning, and excellent time management

Who you are

  • Led projects from conception to deployment
  • 3+ years of data engineering experience
  • 3+ years of developing production-grade ETL pipelines
  • BS/MS in Computer Science, Data Science, Engineering or some equivalent
  • Intrinsic motivation and the ability to learn quickly
  • Strong communication skills and ability to work with a team
  • Experience managing small teams of engineers is a plus

Tech Stack

  • Proficiency and deep understanding of Python, SQL, and distributed computing platforms (eg. GCP, AWS).
  • Experience with dagster or other comparable ETL frameworks, libraries and software (eg. Airflow, Argo).
  • Experience with Python libraries for advanced natural language processing such as spaCy and NLTK is a plus.
  • Experience with machine learning and libraries like Scikit-learn and TensorFlow is a plus.

Who we are

Arthena is a venture-backed investment and research firm that leverages quantitative-driven pricing to execute on a basket of strategies and financial products related to the art market. As leaders in pricing the $60B+ art market, we understand how important it is to be able to scale and invest in art in an automated fashion. We use our proprietary data to build a variety of financial products for the art market with a fast feedback loop, providing our clients with data-driven insights to help hedge against the underlying risk of this alternative asset class and make educated investment decisions.

Perks + Benefits

  • Salary: $140K - $160K (Based on experience)
  • Equity: 0.1% - 0.5%
  • Unlimited Vacation
  • 401K
  • Health Insurance
  • Commuter Benefits
  • Snacks and team bonding events (Virtual and In-Person)
  • Flexible scheduling and option for remote work

Equal Opportunity Employer:

Arthena is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Note: This is not an entry-level position. Please do not apply if you do not have a few years experience working as an engineer. No recent bootcamp grads.

Why you should join Arthena

Arthena is a YC ‘17 company that quantitatively analyzes, prices, and invests in art. We’re a small but growing team dedicated to helping people make data-driven decisions in the antiquated and inefficient art market.