Senior Data Scientist, Risk & Compliance
Remote
Jetty
Jetty is the financial services company for real estate. Our products are designed to improve the financial lives of renters and their property managers.Welcome to Jetty - a new financial services company giving renters easier and more affordable access to rental homes, while helping property managers drive occupancy, reduce costs, and streamline operations. Our goal is to build solutions that make it easy for renters to access homes they love and protect the things they care about the most.
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. 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.
Roles & Responsibilities
- 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
Experience & Qualifications
- 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
About Jetty
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. Learn more about us: www.jetty.com.
Jetty is firmly committed to building a team as diverse as our Members. We are proud to provide equal employment opportunities for all candidates regardless of race, ancestry, citizenship, sex, gender identity or expression, religion, sexual orientation, marital status, age, disability, or veteran status.
Benefits & Perks
- 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
Tags: Computer Science Data Analytics Econometrics Engineering FinTech Industrial Machine Learning Mathematics Research Statistics
Perks/benefits: Career development Flex hours Flex vacation Health care Home office stipend Insurance Parental leave Startup environment Unlimited paid time off
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Senior Data Architect jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Java-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Kubernetes-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs