Senior Data Scientist, Risk & Compliance

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The global remote work community tends to interact in English. Switching languages might impact your visibility.

Senior Data Scientist, Risk & Compliance

A full-time team member or employee

Skills and experience needed

5+ years of experience
Statistical Models
Must have potential to develop
Verbal communication
Problem solving
Statistical analysis
Data science
Data analysis

Organization(s) name(s)


Time zone

Monetary compensation

USD$94K to 162K /year
(Estimated by Torre The quoted compensation hasn't been verified by the organization. It's Torre's estimate based on the job requirements contained in the post. )

Monetary compensation

USD$94K - 162K /year
(Estimated by Torre The quoted compensation hasn't been verified by the organization. It's Torre's estimate based on the job requirements contained in the post. )

Why this opportunity exists

• We are seeking a talented Senior Data Scientist with experience in lending to join our Risk & Compliance Team. In this role you will be responsible for performing sophisticated data analytics and building statistical models to support both our insurance and lending verticals.


• Manage and mine large data sets of proprietary and third-party data to draw insights and recommendations for policy and strategy decisions • Develop predictive models to optimize various functions across the organization including underwriting, credit decisioning, recovery, and collections • Engineer new features and determine feature importance • Assist in deploying these models to production environments by working closely with our product and engineering teams • Develop processes and tools to monitor and analyze model performance and data accuracy • Research and evaluate new data vendors and make recommendations • Champion data analytics and help advance our culture of data-driven decision-making

Additional requirements (other than skills)

• Bachelor's degree in Mathematics, Statistics, Econometrics, Operation Research, Industrial Engineering, Computer Science, or relevant fields is required; advanced degree is preferred • 5+ years of experience extracting, cleaning, manipulating datasets and building statistical models • Experience applying unsupervised and supervised machine learning algorithms: clustering, decision trees, regression, etc. and understand their real-world advantages/drawbacks • Experience in a high growth, fintech environment is a plus • Demonstrated ability to collaborate cross-functionally and communicate with stakeholders across the organization

Language(s) required

English - Fully fluent


• You will be responsible for developing, documenting, and supporting the deployment of these models alongside our product and engineering teams. You will leverage analytics and data science to drive optimal decision-making across the entire customer risk management lifecycle from underwriting and credit decisioning to operations, portfolio management and collections.

About the organization(s)

• Jetty is a financial services company on a mission to make renting a home more affordable and effortless for everyone. Founded in 2015, and inspired by real renter experiences, Jetty now has a nationwide footprint of renters and real estate partners. Focusing on the move-in moment, Jetty's products save renters thousands of dollars, while helping property managers increase occupancy and protection. • Jetty has raised $43.5M from Khosla Ventures, Ribbit Capital, and Valar, and has growing teams working remotely around the country.

Additional details

• Health, dental, and vision insurance through Aetna & MetLife • 401(k) through Betterment • Optional life and disability coverage, HSA & FSA • 20 days of PTO + 12 holidays, “Jetty Winter Break," and unlimited sick days • Generous parental leave policy • Flexible work schedules to accommodate remote work • Remote work stipend • Childcare stipend

Additional benefits

• Health insurance

Agreement type


Posted: February 22, 2021 06:18 PM

Diana Vargas
Diana Vargas
Independent Recruiter
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