Validation Data Scientist

<h2><strong>About Pagaya</strong></h2> <p>Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. For more information, visit&nbsp;<a href="http://pagaya.com/" target="_blank" data-saferedirecturl="https://www.google.com/url?q=http://pagaya.com/&amp;source=gmail&amp;ust=1693382443511000&amp;usg=AOvVaw0tBAw-dMj_zGwNI8CjNR8Z">pagaya.com</a>.</p> <h3><strong>About the Role</strong></h3> <p>Pagaya is seeking an experienced data scientist to join our Model Validation team. The ideal candidate will bring a blend of data science knowledge and analytical skills, understanding in Finance and an understanding of the regulatory landscape of credit lending. As a core team member, you will work closely with model developers to assess model performance, data quality, conceptual soundness, and produce thorough, compliant documentation for regulatory review, ensuring our models meet the highest standards. You will be required to challenge the models, helping Pagaya deliver high-quality validated models for loan pricing and underwriting.</p> <p><strong>Key Responsibilities:</strong></p> <ul> <li>Conduct thorough validation of ML models to assess performance, data quality, robustness, conceptual soundness, regulatory requirements and more</li> <li>Conduct independent tests to assess performance and limitations, and establish model assumptions</li> <li>Suggest and develop alternative models to challenge and improve existing models</li> <li>Provide insights into the' strengths and weaknesses of models in terms of Data Science methodology and Finance as well as recommend practical solutions.</li> <li>Prepare comprehensive validation documentation</li> <li>Support the ongoing monitoring and improvement of existing predictive models</li> <li>Stay updated on the latest research in ML credit risk modeling and financial news, ensuring that our practices align with industry standards</li> </ul> <p><strong>Required Qualifications:</strong></p> <ul> <li>3+ years of experience in Data Science roles with experience with ML models- Must</li> <li>Python - experience with data science packages (pandas, numpy,&nbsp; sklearn, seaborn)</li> <li>Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field</li> <li>Excellent problem-solving skills with the ability to think critically and creatively</li> <li>Strong communication skills and the ability to work effectively in a collaborative team environment</li> <li>Fluent in English, both verbal and written</li> </ul> <p><strong>Preferred Qualifications:</strong></p> <ul> <li>Masters degree</li> <li>Experience in Finance, specifically with financial data or models - advantage</li> <li>Experience with cloud platforms (e.g., AWS) and distributed computing</li> <li>Familiarity with regulatory compliance requirements for financial models (e.g., SR 11-7)</li> </ul> <p><strong>Our Team</strong></p> <p><span style="font-weight: 400;">Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv.</span></p> <p><span style="font-weight: 400;">We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community.</span></p> <p><strong>Join a team of builders who are working every day to enable better outcomes for our partners and their customers.</strong></p> <p><strong>Our Values</strong></p> <p><span style="font-weight: 400;">Our values are at the heart of everything we do. We believe great solutions are built through a great community.</span></p> <ul> <li><u>Advance Inclusion</u>- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors.</li> <li><u>Be Accountable Together</u>- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team.</li> <li><u>Continuously Learn</u>- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners.</li> <li><u>Debate and Commit</u>- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together.</li> <li><u>Dream Big and Act</u>- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy.</li> </ul> <p><strong>More than just a job</strong></p> <p><span style="font-weight: 400;">We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life.&nbsp;</span></p> <p><em>Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs.</em></p> <p>&nbsp;</p> <p><span style="font-weight: 400;"><em data-stringify-type="italic">Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs.</em></span></p> <p>&nbsp;</p><div class="content-conclusion"><p><a href="https://pagaya.com/privacy-policy">https://pagaya.com/privacy-policy</a></p></div>