Position / Title: Vice President – Analytics Engineer, Real Estate Quantitative Strategies

Pretium

Pretium is a specialized alternative investment management firm focused on U.S. residential real estate, residential credit, and corporate credit with approximately ~$50 billion of assets under management. Pretium was founded in 2012 to capitalize on secular investment and lending opportunities arising as a result of structural changes, disruptions, and inefficiencies within the economy. Pretium has built an integrated analytical and operational ecosystem within the U.S. housing, residential credit, and corporate and structured credit markets, and believes that its insight and experience within these markets give the Firm its strategic advantage.

Position

We are seeking an Analytics Engineer to join the Real Estate Quantitative Strategies team; the team is headquartered in New York but welcomes remote applicants.

Key Responsibilities

  • Architect and deploy modern analytics pipelines to produce robust, validated and integrated datasets
    • Our data model is built in DBT
    • The derived analytics are written in Python and managed with Airflow
    • The resulting datasets reside in Snowflake and S3
    • We deliver insights and self-service access to curated data sets through Looker and Hex
  • Become an expert in our datasets
    • This is not a data science role, but you should be comfortable discussing the datasets with a data scientist, and be able to direct them to relevant data, explain limitations and caveats, and suggest lines of inquiry
    • Be comfortable doing initial analysis to inform whether a new approach will be worthwhile
    • Some of our data is sourced from our own operating companies, work with their technology and business teams to understand and help shape what data they capture.
  • Make sure that our data is fit for purpose
    • Data is reliable and timely
    • Access to data is controlled and appropriate
    • We understand data lineage and can both explain and have actually documented our methodologies
    • But also that it can answer the questions people want to ask
      • Have we enriched with the right contextual information, whether geospatial, economic, or demographic?
      • Are we able to gather comparative data from other sources, including competitors?
      • Have we provided sufficient history and granularity for data scientists to build predictive models?
    • Build a proactive view of the wider Real Estate data landscape
      • Identify and validate potential new vendors
      • Understand cost models and be able to explain the potential return on investment of a new dataset
      • Uncover new technology and analysis trends in the industry and make sure we are well placed to utilize them

Requirements

  • Undergraduate degree in computer science, software engineering, computer engineering, preferred; Masters degree a plus
  • Minimum 4+ years of relevant experience
  • Experience with databases and OO programming
    • The exact tools you may have used don’t matter
    • We look for your aptitude to learn and we like to teach
  • Strong oral and written communication skills; ability to present data effectively
  • Ability to take initiative, ownership and accountability; when necessary, capable of working independently, with little need for supervision
  • Excellent team player; highly professional, respectful and honest. Open to ideas, willing to try new things and do what it takes to get the job done well
  • Results oriented with ability to understand and analyze problems, able to apply critical thinking

You will succeed if you are curious about data, enthusiastic about modern data stacks, want to learn from experts at the intersection of technology, finance and real estate, and most of all are willing to take on challenging problems while knowing how to fail fast.

What We Offer

This position offers the opportunity to join a collegial, entrepreneurial firm committed to the personal and professional growth of its team members and to maintaining a positive, encouraging work environment where people enjoy working together. The company offers a comprehensive benefits and perks package, including:

  • 401(k) plan with an employer match
  • Employer-paid health, dental, vision and life insurance
  • 20 annual days of Paid Time Off (PTO)
  • 12 firm holidays
  • Hybrid office/work from home arrangement
  • Annual base salary range for this role is expected to be between $125,000 - $225,000
  • Annual year-end bonus eligible

Pretium is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, gender, gender identity or expression, genetic information, marital status, sexual orientation, national origin, disability, age, veteran status, or any other characteristic protected by federal, state, or local law.

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