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
Own our data platform. You will own the infrastructure for the data platform that powers all of dv01’s customer offerings. This includes an 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.
Work extensively with open source technology. You’ll work heavily within the Spark ecosystem, as well as explore 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’ll 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.
Experienced with all aspects of working with big data. You have 2+ years of professional data engineering experience working with large data sets 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 at least one year of professional programming experience with Apache Spark and 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 2+ years of professional programming experience with Scala or Java and 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 at learning on the job and unafraid to dive into technical finance books.
Undergraduate or graduate degree in Finance, Math, or Engineering. Note that we’re not anti dropouts if you’re a superstar.
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.
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.
Be at the heart of dv01. You will operate as the bridge between the engineering and finance teams, contributing to a variety of integral processes that drive dv01 on a daily basis.
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 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.
A well-rounded engineer. You have 2+ years of professional programming experience with Apache Spark, Scala, Java, R, or Python. 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.
Interest and experience in both engineering and finance. You’re looking to grow your skills in both disciplines, and are excited about the synergies between finance and technology.
Knowledgeable about consumer credit. You understand how investors evaluate loan portfolios and the complexities of amortization, prepay, and default. You strive to further your knowledge in the credit market.
Excited about big data. You should have 2+ years of professional engineering experience working with large datasets, with exposure to large datasets related to loan products an added plus. You enjoy working with data, 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.
Undergraduate or graduate degree in Finance, Math, or Engineering. Note that we’re not anti dropouts if you’re a superstar.
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.
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.
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.
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.
Manage our cloud infrastructure. You will manage our staging and production Microsoft Azure cloud deployment spanning dozens of VMs and hosting a variety of different applications including web application, data pipeline, and internal tools.
Scale out our company. As our company continues to scale, you will play a crucial role in optimizing development automation, the expansion of our services and internal infrastructure, and reliability.
Work extensively with open source technology: We are an open source shop where you’ll work extensively with modern open source software like Linux, Docker, Jenkins, Spark, and Zeppelin.
Interact with a diverse team: You will collaborate closely with the data engineering, frontend/backend engineering teams, and teams at Microsoft to enhance our infrastructure.
Experienced with the cloud: You have at least one year of experience working with Azure, AWS, or GCE and have provisioned/managed deployments with dozens or hundreds of VMs. You also have at least one year of experience managing database deployments such as SQL Server, Postgres or MySQL.
Obsessed with automation: You have at least one year of experience with automated deployment tools such as Docker, Ansible, or Chef and understand the importance of immutable and fully replicable infrastructures.
A Linux enthusiast: You are comfortable operating in the Linux command line and have a good understanding of operating system conventions.
A Database expert: You have a deep understanding of how databases work including indexes, replication, query plans, and schema design.
Bring transparency to financial markets. You will play a key part in bringing transparency to trillions of dollars of consumer and mortgage debt by enabling our customers at banks, hedge funds, and credit originators to quickly extract insights from private and public datasets.
Contribute to the sales process. You will be directly involved in the sales process with new and prospective clients and act as a technical resource, covering the finer points of our product and processes.
Support our clients. You will have direct exposure to high-level contacts at hedge funds, banks, and asset originators. You will serve as the first line of support for questions, feedback, and bugs related to using our application, and will educate users via technical training sessions.
Interact with a diverse team. You’ll collaborate closely with the structuring, engineering, product, and sales teams at dv01 to deliver great products and solve our clients’ problems.
Strong verbal and written communication skills. Your ability to effectively communicate with clients is critical to your success in this role. Whether it’s assisting clients with their questions around product functionality, explaining the nuances of the data we receive or walking through new features via technical training sessions, you are able to clearly convey information.
Engineering background and experience. You possess strong engineering fundamentals and basic working knowledge of SQL. You are familiar with engineering lingo and have a strong intuition for how engineering components interact with each other, allowing you to quickly get to the bottom of any questions our clients might have.
Experienced in fixed income. You have 2-4 years experience working in fixed income finance and have a working knowledge of basic fixed income concepts (knowledge of structured finance is even better). You have excellent Excel skills and are adept at using Excel to quickly verify fixed income calculation results.
dv01 is looking for our first Head of Finance to lead and build out our finance, accounting, compliance, and risk functions. As a member of our management team, you will use your analytical and operational skill set and background to help us execute our vision and scale the company.
This position will undertake all aspects of accounting, financial reporting, and budget and forecast preparation, as well as development of internal control policies and procedures. You should have the flexibility to play multiple operational roles across business functions of a high-growth startup.
As Head of People Operations, you will report directly to dv01’s CEO and be responsible for leading the charge in developing and improving dv01’s people processes and operations. This not only makes you one of the most important hires we make this year, but also positions you as a key leader of dv01’s future.
We have a phenomenal team culture, blending the best of Silicon Valley and Wall Street, and need a leader who will help our culture evolve and meet the needs of our growing company.
dv01 is looking for an operationally oriented strategic thinker experienced with high-growth technology and financial services companies to join us as General Counsel. The General Counsel will be responsible for planning, directing, and executing all aspects of the company’s legal affairs, and will report directly to the CEO.
As chief legal advisor to the company, CEO, and Board of Directors, the General Counsel will update stakeholders on all legal affairs, including potential and ongoing commercial and corporate transactions, intellectual property issues, corporate governance, regulatory compliance, and tax matters.
The General Counsel will advise, counsel, and support dv01’s management team and Board of Directors in the resolution of critical business issues based on evaluation and analysis of legal risks associated with those business decisions. A high degree of creativity and business acumen is required and expected.
|ABS Alert||September 22, 2017||Data Specialist Enhances Offering|
|Lendit News||September 18, 2017||dv01 Launches Cashflows for Securitizations|
|Crowdfund Insider||September 18, 2017||dv01 Launches Cashflows for Securitizations|
|AltFi||September 18, 2017||dv01 Launches Cashflows for Securitizations|
|Fortune||September 14, 2017||Term Sheet|
|Crowdfund Insider||September 13, 2017||dv01 Completes $5.5M Series A Funding Round Led by OCA Ventures|
|PEHub||September 13, 2017||dv01 grabs $5.5 mln Series A|
|Reuters||September 13, 2017||BRIEF-dv01 announces a $5.5m series a round, led by OCA Ventures|
|FINSMES||September 13, 2017||dv01 Closes $5.5M Series A Funding|
|LendIt News||September 13, 2017||dv01 Closes $5.5M Series A|
|Linux Insider||July 19, 2017||Microsoft Rolls Out Linux Support in SQL Server 2017 Release Candidate|
|Lend Academy||July 15, 2017||Marketplace Lending News Roundup – July 15|
|LendIt News||July 14, 2017||dv01 Provides Advice for International Investors Interested in US Marketplace Lending Investments|
|LendIt News||July 11, 2017||dv01 Announces Partnership with Upgrade|
|AltFi||July 11, 2017||Laplanche commits to “increased transparency” with new reporting partnership|
|Crowdfund Insider||July 9, 2017||LendIt China Journal July 8th 2017: dv01, LendIt 2017, GoodAI.Capital|
|LendAcademy||July 7, 2017||Podcast 108: Perry Rahbar of dv01|
|Network World||June 2, 2017||SQL Server 2017 on Linux boosts efficiency for analytics firm|
|Microsoft News||May 17, 2017||Financial tech company gains SQL Server performance and scalability on Linux|
|LendIt News||May 8, 2017||dv01 Partners with SoFi|
|Crowdfund Insider||May 8, 2017||Fintech Platform dv01 Announces Reporting Partnership with SoFi|
|Business Insider||May 1, 2017||Online lending has reached a tipping point|
|Wall Street Journal||February 27, 2017||Prosper Inks $5 Billion Loan-Buying Deal With Investors Including Soros, Jefferies|
|Crowdfund Insider||February 24, 2017||Fintech Analytics Platform dv01 Unveils New Portal Dedicated to Securitizations|
|Crowdfund Insider||January 12, 2017||dv01 Forms Collaboration With Experian to Bring Additional Transparency to Marketplace Lending|
|Lend Academy||January 12, 2017||dv01 and Experian Announce Data Partnership|
|New York Times Business “Markets section”||January 12, 2017||dv01 and Experian collaborate to bring additional transparency to marketplace lending, providing institutional investors access to richer borrower attributes
|Lend Academy||January 10, 2017||An Introduction to Securitization|
|Value Walk||January 5, 2017||Analyst Note: What 2017 Has In Store For Fintech|
|Forbes||November 7, 2016||How An Ex-Bear Stearns Trader Is Helping Marketplace Lenders Avoid The Sins Of The Mortgage Bubble|
|Forbes||November 7, 2016||Forbes Fintech 50 For 2016|
|Business Insider||September 22, 2016||What happened to transparency for investors? (byline)|
|SNL||August 9, 2016||For digital lenders desperate for funding, some help from securitizations|
|Business Insider||August 2, 2016||Why finance should say goodbye to spreadsheets forever (byline)|
|Fortune||June 30, 2016||Term Sheet|
|PEHub||June 29, 2016||Fintech platform dv01 scores $7.5 mln of seed funding|
|CNBC||June 24, 2016||Transparency in lending|
|TechCrunch||June 9, 2016||Why transparency would have saved us from the 2008 financial collapse (byline)|
|LendAcademy||June 6, 2016||The Opportunity in Difficult Times|
|City A.M.||April 12, 2016||Marketplace lending: How the industry is dealing with securitisation – and does having skin in the game really matter?|
|Institutional Investor||April 10, 2016||Peer Pressure: P2P Lending Poised to Shake Up Credit (byline)|
|Bloomberg||April 4, 2016||Online Lenders Enlist Silicon Alley to Avoid Next `Big Short'|
|Bloomberg||March 14, 2016||Soros, Jefferies Back P2P Startup of Ex-Mortgage Trader|