Commercial Loans Senior Data Analyst

<div class="content-intro"><p><a href="https://www.sofi.com/sofi-employee-applicant-privacy-notice/" target="_blank"><strong>Employee Applicant Privacy Notice</strong></a></p> <p><strong>Who we are:</strong></p> <div> <p>Shape a brighter financial future with us.</p> <p>Together with our members, we’re changing the way people think about and interact with personal finance.</p> <p>We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. <strong>Join us to invest in yourself, your career, and the financial world.</strong></p> </div></div><p><strong>The Role:</strong></p> <p>We are seeking an experienced, technically strong Senior Data Analyst – Commercial Lending to own end-to-end analytics for our commercial lending portfolio and translate performance insights into a measurable feedback loop that improves credit strategy, risk management, and profitability.</p> <p>In this role, you will analyze portfolio performance across the full lifecycle (origination → underwriting → servicing → repayment/default outcomes), build scalable reporting and monitoring, and partner closely with Credit, Underwriting, Risk, Operations, Finance, Compliance, and Product to turn data into actionable decisions.</p> <p>You will define the “source of truth” for portfolio performance, identify emerging risks and growth opportunities, and drive data-informed changes to credit policy, underwriting strategies, pricing, and operational processes—while measuring their impact.</p> <p><strong>What You’ll Do:&nbsp;</strong></p> <h3><strong>Own portfolio performance analytics (core):</strong></h3> <ul> <li>Define and maintain KPIs across <strong>credit risk, growth, and profitability</strong> (e.g., delinquency rates, default rates, loss rates, recovery rates, utilization, yield, risk-adjusted return metrics).</li> <li>Perform <strong>cohort/vintage and segmentation analysis</strong> across borrower attributes (industry, revenue, risk rating, collateral type, geography, loan size, term, product type).</li> <li>Build and maintain <strong>executive dashboards and automated reporting</strong> that clearly explain performance trends, drivers, and recommended actions.</li> <li>Partner with Data Engineering to ensure <strong>scalable data models, clean metric definitions, and reliable reporting pipelines</strong>.</li> </ul> <h3><strong>Credit risk, concentration, and early warning monitoring:&nbsp;</strong></h3> <ul> <li>Monitor portfolio concentrations across <strong>industries, geographies, borrower segments, and product types</strong>.</li> <li>Develop and track <strong>early warning indicators</strong> (e.g., payment behavior changes, utilization shifts, covenant signals, sector stress).</li> <li>Assess impact of <strong>macroeconomic and market conditions</strong> (rates, sector performance, liquidity trends) on portfolio risk and returns.</li> </ul> <h3><strong>Credit strategy &amp; policy feedback loop:</strong></h3> <ul> <li>Analyze <strong>credit policy performance and underwriting decisions</strong>, identifying opportunities to optimize approval rates, loss outcomes, and risk-adjusted returns.</li> <li>Conduct <strong>root-cause analysis</strong> on defaults, exceptions, and losses; quantify business impact.</li> <li>Build a <strong>closed-loop system</strong>:</li> <ul> <li>Identify key drivers of performance</li> <li>Recommend changes (credit policy, pricing, underwriting, limits)</li> <li>Partner to implement changes</li> <li>Measure impact through structured before/after analysis</li> </ul> </ul> <h3><strong>Portfolio optimization &amp; profitability analytics:</strong></h3> <ul> <li>Evaluate <strong>risk vs. growth vs. profitability trade-offs</strong> across segments and products.</li> <li>Support <strong>pricing strategy and capital allocation decisions</strong> through data-driven insights.</li> <li>Analyze <strong>lifecycle economics</strong> (origination quality, utilization, retention, loss timing, recovery).</li> </ul> <h3><strong>Cross-functional delivery &amp; execution:</strong></h3> <ul> <li>Partner with Credit, Risk, Product, Finance, and Operations to deliver <strong>analytics solutions (dashboards, datasets, monitoring tools)</strong>.</li> <li>Lead analytics initiatives with structured execution (requirements, timelines, stakeholder alignment, QA, rollout).</li> <li>Ensure <strong>data integrity and governance</strong> across all reporting and analytics outputs.&nbsp;</li> </ul> <h2><strong>Skills that make someone successful in this role:&nbsp;</strong></h2> <ul> <li><strong>Strong technical data skills</strong>: advanced SQL (complex joins, window functions, performance optimization), and proficiency in Python (pandas, numpy, data manipulation, statistical analysis). Experience building reproducible analysis and scalable datasets.</li> <li><strong>Data modeling &amp; analytics engineering</strong>: ability to work with large datasets, design clean data structures, and partner with Data Engineering on pipelines (e.g., dbt, Airflow).</li> <li><strong>3 years of Commercial lending analytics expertise</strong>: portfolio segmentation, credit performance analysis, and lifecycle modeling.</li> <li><strong>Decision science mindset</strong>: hypothesis-driven analysis, experiment design, and quantifying trade-offs (risk vs. growth vs. profitability).</li> <li><strong>Data rigor</strong>: strong discipline around metric definitions, reconciliation, QA, and documentation to ensure consistent reporting.</li> <li><strong>Business translation</strong>: ability to convert complex analysis into clear, actionable recommendations for credit strategy, underwriting, and product decisions.</li> <li><strong>Cross-functional influence</strong>: ability to partner effectively with Credit, Risk, Finance, Product, and Engineering to drive change.</li> <li><strong>Execution excellence</strong>: delivering high-quality dashboards, datasets, and monitoring tools, with a focus on scalability and continuous improvement.</li> </ul> <h2><strong>Preferred qualifications (nice to have):&nbsp;</strong></h2> <ul> <li>Advanced degree (MS/MBA/PhD) in a quantitative field.</li> <li>Familiarity with modern data stacks (e.g., <strong>Snowflake/BigQuery/Redshift</strong>, dbt, Airflow) and version control (Git).</li> <li>Experience supporting <strong>capital markets</strong> needs: investor reporting, securitization support, due diligence, credit tape analysis, and guideline overlays.</li> <li>Experience designing and evaluating <strong>policy tests/experiments</strong> (A/B testing where applicable, quasi-experimental measurement, monitoring for unintended impacts).</li> <li>Tools: <strong>JIRA/Confluence</strong>, Airtable, and project planning practices for analytics delivery.</li> </ul><div class="content-conclusion"><div class="gmail_default"><strong>Compensation and Benefits</strong></div> <div class="gmail_default">The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.&nbsp;</div> <div class="gmail_default">&nbsp;</div> <div class="gmail_default">To view all of our comprehensive&nbsp;and competitive&nbsp;benefits, visit our&nbsp;<strong><a href="https://sofietyinfo.sofi.com/sofi-benefits" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://sofietyinfo.sofi.com/sofi-benefits&amp;source=gmail&amp;ust=1667318410571000&amp;usg=AOvVaw0ZqbRtznVe1JsWWUOWQUnN">Benefits at SoFi</a>&nbsp;</strong>page!</div> <h5 style="text-align: center;"><span style="font-weight: 400;">SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.</span></h5> <h5 style="text-align: center;"><span style="font-weight: 400;">The Company hires the best qualified candidate for the job, without regard to protected characteristics.</span></h5> <h5 style="text-align: center;"><span style="font-weight: 400;">Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</span></h5> <h5 style="text-align: center;"><a href="https://dol.ny.gov/system/files/documents/2022/02/ls740_1.pdf" target="_blank"><span style="font-weight: 400;">New York applicants: Notice of Employee Rights</span></a></h5> <h5 style="text-align: center;"><span style="font-weight: 400;">SoFi is committed to an inclusive culture. As part of this commitment, </span><span style="font-weight: 400;">SoFi </span><span style="font-weight: 400;">offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email </span><a href="mailto:accommodations@sofi.com" target="_blank">accommodations@sofi.com.</a></h5> <h5 style="text-align: center;"><span style="font-weight: 400;">Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.</span></h5> <div class="gmail_default"><strong>Internal Employees</strong></div> <div class="gmail_default">If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.</div></div>