ABOUT US

dv01 is a reporting and analytics platform that brings transparency and insight to lending markets—making them more efficient for institutional investors and safer for the world. In a nutshell, we’re doing our part to prevent a repeat of 2008.
As a hub between lenders and capital markets, dv01 provides one source of transparent data for bonds and whole loans. To date, dv01’s reporting and analytics platform has offered institutional investors insight into $10 billion of securitizations and more than $55 billion of consumer, small business, real estate, auto, and student loans (>90% of total) from the largest online lenders, including LendingClub, Prosper, and SoFi.
By offering unrivaled data transparency, dv01 aims to simplify all aspects of loan and bond investment, expanding from online lending to the $13 trillion consumer and mortgage lending markets.

VISION

$13T of consumer lending data is stuck in antiquated databases and Excel spreadsheets. We plan to map every bit of it, add in business debt—and make it all accessible through one end-to-end solution.

We envision a world where:

  • All securitization and whole loan data is accessible in one place
  • Financial data is flexible and dynamic, making it easy to analyze
  • Data isn’t just numbers, but immediately actionable insights
How do we accomplish this?
By building a platform that moves capital markets from inefficient manual processes to automated reporting and analytics.

CULTURE

At dv01, each team member is as important as the product we build. We’ve brought together the best of Wall Street and Silicon Valley to create a team that fuses an insider’s understanding of incumbent financial processes with an uncompromising focus on technology.
We believe smart people can succeed at almost anything, so we encourage on-the-job learning (e.g. trying a new programming language) and real ownership over your work. Our fast paced environment necessitates a desire and willingness to grow both personally and professionally. We see value in effort and output, which is why we encourage all of our team members to take measured risks and never back away from a challenge.
Our current solution addresses the online lending market, but our ambitions are much larger: bring transparency to all $13T of consumer lending. Why does it matter? Because a more transparent market is less volatile, which benefits all participants: investors, lenders, and borrowers like you.
Data, data analysis, and data modeling are the cornerstones of our business. If you’re excited by big data and want to redefine the future of financial markets, we’d love to hear from you.

BENEFITS

Above market compensation and equity

Full benefits package including medical, dental, vision, and 401k

Lunch and dinner are on us via a corporate Seamless account

Stocked kitchen with snacks of your choice

Large open office in the middle of Flatiron

Commuter benefits

CAREERS

Data Engineer

You Will:

Own our data platform: You will own the infrastructure for the data platform that powers all of dv01’s customer offerings. This includes a Apache Spark cluster, SQL Server databases, scheduling/monitoring tools, API crawlers, SFTP servers and ad-hoc analysis services such as Apache Zeppelin and RStudio; all hosted on the cloud.

Working extensively with open source technology: You will work heavily within the Spark ecosystem. We continuously evaluate and adopt new open source technologies to solve customer needs. The skills you develop here will serve you well beyond dv01.

Interact with a diverse team: You will collaborate closely with other teams at dv01 to expand and improve the capabilities of our data platform. This includes working closely with the structuring team to resolve scaling or functionality pain points in data processing, the modeling team to build out a modern data science platform, and the frontend product engineering team to scale database queries to ship new products.

Gain knowledge of the financial industry: You will have an exclusive view into the system that enables Americans to afford houses, cars, and college. You will learn about the participants, terminology, and mathematics behind this sector of the financial markets.

YOU ARE:

Experienced with all aspects of working with big data: You enjoy working with big datasets and are intimately familiar with the construction of scalable ETL pipelines, intricacies of accurate data processing and infrastructure involved with ensuring the reliability of hundreds of daily processes.

A Spark Enthusiast: You have a strong understanding of Spark internals and the operational complexities of managing a Spark cluster. You have engaged with the Spark community on mailing lists or on Github and may have contributed source code to the project.

A well-rounded engineer: You have a deep appreciation for engineering fundamentals. You understand the importance of writing tests, designing systems for long term maintainability, and evaluating both sides of common engineering considerations.

Enthusiastic about expanding your financial knowledge: You are excited to learn more about the intricacies of the financial system. You are adept learning on the job and unafraid to dive into technical finance books.

Qualifications:

  • 2+ years of professional data engineering experience working with large data sets
  • 2+ years of professional programming experience with Scala or Java
  • 1+ year of professional programming experience with Apache Spark
  • Undergraduate or a graduate degree in Finance, Math or Engineering

Frontend Engineer

You Will:

Bring transparency to the financial markets: You will bring transparency to $13T of consumer lending by enabling our customers at banks, hedge funds, and credit originators to quickly extract insights from large private and public datasets.

Develop using a modern, open source stack: You will develop on top of a software stack that includes React, Redux, D3, Node.js, Scala, and Spark. We continuously evaluate and adopt new open source technologies to solve customer needs, so the skills you develop here will serve you well beyond dv01.

Interact with a diverse team: You will collaborate closely with other teams at dv01 to create great products. This includes working closely with the product team to understand the customer story, design team to understand the motivation behind the UI/UX, and the data engineering team to understand the most efficient way to query that data.

Gain knowledge of the financial industry: You will have an exclusive view in to the system that enables Americans to afford houses, cars, and college. You will learn about the participants, terminology, and mathematics behind this sector of the financial markets.

YOU ARE:

A well-rounded engineer: You have a deep appreciation for engineering fundamentals. You understand the importance of writing tests, designing systems for long term maintainability, and evaluating both sides of common engineering considerations.

Design oriented: You value beautiful design and intuitive UX. You enjoy working directly with designers and product specialists to make the customer experience amazing.

A visualization enthusiast: You are a data enthusiast and understand the value of visualization in communicating data insights. You have experience using D3.js, SVG, or Canvas API to create visually stunning and insightful graphs and charts.

Curious to expand your financial knowledge: You are excited to learn more about the intricacies of the financial system. You are adept at learning on the job and unafraid to dive in to technical finance books.

Qualifications:

  • 2+ years of professional frontend engineering experience
  • 1+ years of professional programming experience with React and D3.js, SVG or Canvas
  • Undergraduate or a graduate degree in Finance, Math or Engineering

Loan Engineer

You Will:

Be at the heart of dv01: You will be the bridge between the engineering and finance teams and an integral part of multiple end-to-end projects and processes that are critical to our company.

Be an owner of dv01’s most valuable asset: You’ll own the business logic in our data pipeline, encapsulating all the knowledge we’ve accumulated across more than a hundred datasets. The output from the pipeline powers all of our customer offerings and is critical to the success of our business.

Be customer facing: You will have direct exposure to high-level contacts at hedge funds, banks, and asset originators, providing valuable insights to help them answer complex questions.

Work with state of the art technology: You’ll work with popular, modern, and exciting open source technologies like Apache Spark. The skills you develop here will serve you well beyond dv01.

YOU ARE:

Someone who thrives at the intersection of engineering and finance: You’re looking to grow your skills in both disciplines, and are excited about the synergies at the intersection.

Knowledgeable about consumer credit: You understand how investors evaluate consumer loan portfolios and the complexities of amortization, prepay, and default. You strive to further your knowledge in the credit market.

A well-rounded engineer: You have worked professionally in an engineering capacity and look to grow further as an engineer. You are able to write thought-out code while accounting for resource and performance constraints and are also capable of performing ad-hoc data investigations with SQL.
Excited about big data: You enjoy working with large datasets, from expressing complex business logic as scalable data processing logic to configuring and debugging intricate big data pipelines. You love the intricate details of a thorough investigation, but also stay aware of the bigger picture while operating across multiple threads of work.

Qualifications:

  • 2+ years of professional engineering experience working with large consumer loan data sets
  • 2+ year of professional programming experience with Scala, Java, R or Python
  • Undergraduate or a graduate degree in Finance, Math or Engineering

Reporting Analyst

YOU WILL:

Pioneer automated processes in ABS/RMBS: You’ll save our clients time while improving the accuracy of reporting by automating repetitive processes, checks, and analysis.

Grow as an engineer: We are a small group where it’s impossible to coast. You’ll work closely with the loan engineering team as well as other engineers to develop and productize solutions for our customers.

Develop a deep understanding of consumer credit reporting: You’ll get exposure to many facets of credit including data conventions, asset performance, capital markets transactions, securitizations, and credit facilities. You will dive into all types of data and reports and gather an invaluable knowledge base.

Be customer facing: You will directly communicate with high-level contacts at hedge funds, banks, and asset originators. You’ll manage, assemble, verify, and deliver reporting commitments to clients including monthly warehouse facilities on a client’s investment portfolio of loans.

YOU ARE:

Knowledgeable in ABS/RMBS: You have experience working with consumer loans, student loans, mortgages, or auto loans and strive to further your knowledge in this space.

Unafraid of large datasets: You’re highly proficient with Excel and proficient in SQL. You are comfortable performing ad-hoc data analysis using R, Python, Matlab, or Stata.

Well-versed with financial statements and reporting: You are able to identify key metrics and transactional details on financial statements, investor reports, and securitization trustee reports. Experience with reporting related to credit facilities and financing is an added plus.

A focused, detail-oriented, multi-tasker: You love the intricate details of a thorough analysis, but also stay aware of the bigger picture while operating across multiple threads of work. You are able to communicate your findings and opinions internally, as well as with clients and originators.

Qualifications:

  • 2+ years of experience working with financial reports in a banking/capital markets capacity (Banks, Accounting Firms, Buy Side)
  • Experience programming in R, Python, Matlab or Stata
  • Undergraduate or a graduate degree in Finance, Math or Engineering

Data Scientist

YOU WILL:

Build the next generation of financial models: You’ll build data driven models covering trillions of dollars of consumer and business debt. To do so, you’ll have a massive quantity and variety of data at your disposal, some of which is only available in aggregate through dv01.

Be intellectually stimulated: You will be exposed to new ideas across data science, finance, and economics. You will also be exposed to the latest research in relevant fields, and be guided by both coworkers and external academic advisors.

Be an integral part of a top priority project: You’ll work closely with industry experts within and outside of dv01 to understand the data in the context of the market. You will work closely with the product team to understand which models best solve the customer needs, and with the engineering teams to realize that vision.

Be customer facing: You’ll regularly publish private and public white papers and decks on dv01’s Intelligence effort. You will communicate directly with our customers, which include top hedge funds and banks, to integrate their knowledge into our models.

YOU ARE:

Data driven: You believe in the importance of quality, timely, and comprehensive data in constructing models. You are able to quickly structure large and messy datasets to experiment with a variety of models, regularly perform data analysis on datasets larger than 1GB, and have trained models on 100’s of GBs of data.

Practical problem solver: You have a strong statistical background and understand the tradeoffs and pitfalls of various data science techniques. You have an extensive toolset to determine mathematical and practical soundness of your models and avoid overfitting.

Experienced with model productization: You are experienced with all stages of the data science lifecycle and understand the additional considerations and effort needed to make a model useful for customers, including customer systems integrations, deployment, automation, and maintenance.

Enthusiastic about expanding your financial knowledge: You’re excited to learn more about the intricacies of the financial system. You are adept at learning on the job and unafraid to dive in to technical finance books.

Qualifications:

  • 3+ years of experience or PhD/Masters in a field such as math, physics, or computer science
  • Highly experienced with ad-hoc data analysis tools such as R, Python, Stata, SAS, or SQL
  • Fundamental/broad understanding of data mining and predictive analytics techniques

PRESS

OutletPublished DateTitle
Crowdfund InsiderMay 8, 2017Fintech Platform dv01 Announces Reporting Partnership with SoFi
Business InsiderMay 1, 2017Online lending has reached a tipping point
Wall Street JournalFebruary 27, 2017Prosper Inks $5 Billion Loan-Buying Deal With Investors Including Soros, Jefferies
Crowdfund InsiderFebruary 24, 2017Fintech Analytics Platform dv01 Unveils New Portal Dedicated to Securitizations
Crowdfund InsiderJanuary 12, 2017dv01 Forms Collaboration With Experian to Bring Additional Transparency to Marketplace Lending
Lend AcademyJanuary 12, 2017dv01 and Experian Announce Data Partnership
New York Times Business “Markets section”January 12, 2017dv01 and Experian collaborate to bring additional transparency to marketplace lending, providing institutional investors access to richer borrower attributes
Lend AcademyJanuary 10, 2017An Introduction to Securitization
Value WalkJanuary 5, 2017Analyst Note: What 2017 Has In Store For Fintech
ForbesNovember 7, 2016How An Ex-Bear Stearns Trader Is Helping Marketplace Lenders Avoid The Sins Of The Mortgage Bubble
ForbesNovember 7, 2016Forbes Fintech 50 For 2016
Business InsiderSeptember 22, 2016What happened to transparency for investors? (byline)
SNLAugust 9, 2016For digital lenders desperate for funding, some help from securitizations
Business InsiderAugust 2, 2016Why finance should say goodbye to spreadsheets forever (byline)
FortuneJune 30, 2016Term Sheet
PEHubJune 29, 2016Fintech platform dv01 scores $7.5 mln of seed funding
CNBCJune 24, 2016Transparency in lending
TechCrunchJune 9, 2016Why transparency would have saved us from the 2008 financial collapse (byline)
LendAcademyJune 6, 2016The Opportunity in Difficult Times
City A.M.April 12, 2016Marketplace lending: How the industry is dealing with securitisation – and does having skin in the game really matter?
Institutional InvestorApril 10, 2016Peer Pressure: P2P Lending Poised to Shake Up Credit (byline)
BloombergApril 4, 2016Online Lenders Enlist Silicon Alley to Avoid Next `Big Short'
BloombergMarch 14, 2016Soros, Jefferies Back P2P Startup of Ex-Mortgage Trader