Data Scientist
AntennaSalary not specified
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, FintechIndustries
Requirements
Candidates should have 3+ years of professional experience writing production-ready code in Python, DBT, Scala, or Java, with high proficiency in SQL and the ability to write efficient code considering resource and performance constraints. A minimum of 2 years of professional experience working directly with data pipelines, ideally with exposure to loan datasets, is required. Familiarity with relational data concepts, big data tools, and cloud-native technologies like Google Cloud Platform (BigQuery, Cloud Run, Dataproc), DBT, Airflow, and Apache Spark is essential. Experience in both engineering and finance, with an understanding of investor evaluation of loan portfolios, is also necessary.
Responsibilities
The Data Analytics Engineer will act as a bridge between engineering and analyst teams, contributing to integral processes and managing the business logic within the data pipeline. This role involves integrating new datasets, encapsulating accumulated knowledge, and ensuring the pipeline powers all customer offerings. Responsibilities include working directly with internal stakeholders and customers to understand data complexities, translating requirements into code, and optimizing data storage and computation within large datasets.
Skills
Data Pipeline Management
Data Integration
Business Logic
Stakeholder Management
Customer Interaction
Data Analysis
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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