dv01

Quantitative Engineer II

United States

Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Fintech, Data & AnalyticsIndustries

Requirements

The ideal candidate has extensive experience with structured finance, including securitizations and credit facility transactions. They should be familiar with web application development, including APIs, databases, and creating user-friendly interfaces, and be fluent in at least one programming language such as Scala or Python. Comfort working with large datasets (millions of rows, hundreds of columns) using tools like R, Python, Stata, SAS, Tableau, or SQL is essential. The candidate must be detail-oriented, a big-picture thinker, and proactive, with a forward-thinking and innovative mindset.

Responsibilities

The role involves modeling complex structured finance transactions by extracting deal structures from legal documents and creating programmatic representations. Responsibilities include enhancing and launching dv01’s on-demand reporting tool in collaboration with the Credit Facility Reporting team. The Quantitative Engineer II will interact with a diverse team of domain experts, product managers, engineers, and designers in a collaborative environment and engage with clients, including investment banks, hedge funds, and large banks, to model transactions and develop DealStudio.

Skills

structured finance
data analytics
financial modeling
programmatic representation
reporting tools
credit facilities
client-facing tools
collaboration
product management
engineering
design

dv01

Data management and analytics for lending markets

About dv01

dv01 provides a data management and analytics platform specifically designed for the lending markets. It offers detailed insights into loan-level data for various types of loans, such as consumer unsecured loans, non-QM loans, auto loans, and student loans. The platform helps financial institutions make informed decisions by allowing them to analyze loan performance, track loans in forbearance, and evaluate their portfolios over time. dv01 differentiates itself from competitors by standardizing loan-level data and offering tools for performance metrics and ESG data analytics, which are essential for impact investments. The company's goal is to enhance transparency and intelligence in the lending market, enabling clients to identify risks, project cashflows, and compare loan datasets effectively.

New York City, New YorkHeadquarters
2014Year Founded
$35.5MTotal Funding
SERIES_BCompany Stage
Fintech, Social Impact, Financial ServicesIndustries
51-200Employees

Benefits

Unlimited Paid Time Off
$1,000 Learning & Development Fund
Remote Work Options
Health Insurance
401(k) Retirement Plan
Gym Membership
New Family Bonding

Risks

Emerging fintech competitors may erode dv01's market share.
Fitch Group acquisition may disrupt existing client relationships or operational focus.
Reliance on partnerships like GoodLeap exposes dv01 to potential risks if they dissolve.

Differentiation

dv01 offers unparalleled loan-level transparency and insight into lending markets.
The platform integrates data from 16 marketplace lending platforms and multiple mortgage servicers.
dv01 provides standardized, cleansed loan-level data for efficient risk identification and cashflow projections.

Upsides

Growing demand for ESG data analytics aligns with dv01's offerings.
Collaboration with Fitch Ratings enhances dv01's position in non-agency RMBS markets.
Increased regulatory scrutiny on data transparency boosts demand for dv01's services.

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