• own multiple concurrent projects across model development, strategic analysis, and analytics product delivery — framing the business question, designing the approach, building the solution, and presenting findings to senior stakeholders (Lead Director, Executive Director, AVP) • set technical direction for your workstream, mentor junior data scientists, and partner directly with business leaders across sales, underwriting, and finance to turn analysis into action

• Apply analytical and technical skills to solve real-world business problems. • Work closely with stakeholders to collect, clean, analyze, and interpret data. • Contribute to the development and deployment of ML models and data-driven solutions. • Assist in the collection, cleaning, and preprocessing of large and complex datasets from various sources. • Conduct exploratory data analysis (EDA) to identify patterns, trends, and insights in the data. • Apply statistical techniques and machine learning algorithms to build predictive models. • Develop and validate machine learning models (Supervised and Unsupervised), and other categories such as Ensemble Methods, and Time-series models. • Collaborate with other data scientists and team members to define project requirements and objectives. • Communicate findings and insights effectively through visualizations, reports, and presentations. • Stay up-to-date with the latest advancements in data science, machine learning, and related technologies. • Document code, methodologies, and results clearly and concisely. • Participate in the deployment and monitoring of data science models and solutions. • Contribute to the development of data-driven products and features. • Assist in the evaluation of new data sources and technologies. • Independently plan and execute work across multiple projects, stakeholders, and functional areas.

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. 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. Join us to invest in yourself, your career, and the financial world. The role: The Compliance Senior Data Scientist will be responsible for assisting the Anti-Money Laundering Compliance program with model development, model optimization, model validation, management information reporting, AML system integration, AML data infrastructure and AML data architecture to effectively fight financial crime. Additionally, this role will also support AML governance initiatives including risk assessments and internal/external inquiries. What you’ll do: - Facilitate AML model development, implementation, optimization, assessment and validation of risk-based customer screening, transaction screening, transaction monitoring and AML customer risk rating covering multiple product lines, including banking, brokerage and lending to ensure sound risk coverage across the enterprise - Maintain, test and configure AML vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performance. - Research, compile and evaluate large sets of data to assess quality, integrity and completeness to determine suitability for AML model development. - Architect and lead the design of advanced AML models utilizing machine learning and statistical modeling methods for supervised and unsupervised learning. - Exercise flexibility in selecting model architectures, algorithms, third-party libraries, and development workflows, provided they align with project objectives and organizational requirements. - Ensure AML compliance and regulatory requirements are embedded in the model design. - Document modeling methodology, data sources, assumptions, and validation results. - Lead governance and quality control across the full AML model lifecycle including code reviews, validation of methodology, input data integrity, and performance metrics. - Ensure adherence to the organization’s established ML framework, coding conventions, documentation standards, and model risk management policies, embedding AML compliance and regulatory requirements into design and deployment. - Oversee documentation and review processes for internal model validation, external regulatory examinations, and cross-functional approvals, while supporting resolution of development blockers and coordinating with key stakeholders. - Develop governance documentation related to tuning efforts, parameter changes and data validation for AML transaction monitoring to ensure a comprehensive audit trail is maintained. - Track and report results of tuning and optimization activities and model performance to senior management. - Develop robust management information dashboards displaying real-time or near real-time AML metrics. - Partner with and advise the AML Governance Unit by providing necessary data for AML Risk Assessments, internal/external audit examinations and other regulatory requirements. What you’ll need: - Bachelor’s Degree or Master’s Degree in Statistics, Computer Science, Mathematics, Finance, Computer Science, Engineering or other relevant areas. - 3+ years of experience in the finance industry focusing on BSA/AML, OFAC, or fraud modeling/analytics. - Statistical/data analytical skills, including data quality validation, and predictive modeling experience in SQL and Python. - Knowledge of and ability to leverage traditional databases, cloud-based computing, and distributed computing. - Track record of leading AML governance-related initiatives, such as risk assessments, internal/external audits and other regulatory requirements. - Demonstrated ability to communicate effectively with all levels of the organization and across different business lines. Nice to Have: - Knowledge of AML regulations and the USA PATRIOT Act. - Familiarity with regulatory guidance on Model Risk Management (Federal Reserve SR Letter 11-7, OCC Bulletin 2011-12, FDIC FIL 22-2017, DFS504) - Experience with data visualization (e.g., Tableau) - Experience with data monitoring systems (e.g., DataDog, Monte Carlo) - Experience with cloud data infrastructure (e.g., Snowflake) - Experience with automated transaction monitoring (e.g., Verafin) - Experience with customer/transaction screening (e.g., LexisNexis) - Experience with infrastructure automation software (e.g., Terraform) - Familiarity with virtualization and containerization (e.g., Docker) - Familiarity with container orchestration (e.g., Kubernetes) - CAMS certification preferred Compensation and Benefits 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. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! 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.The Company hires the best qualified candidate for the job, without regard to protected characteristics.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.New York applicants: Notice of Employee RightsSoFi is committed to an inclusive culture. As part of this commitment, SoFi 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 accommodations@sofi.com.Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.Internal Employees 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.

Role Description We are seeking a strategic, client-facing Associate Director to lead media analytics and measurement. This role is responsible for turning data into clear, actionable insights that drive campaign optimization, media investment decisions, and future planning. The Associate Director partners closely with Media, Strategy, and Client teams to ensure analytics moves beyond reporting to inform performance and shape growth strategy, while advancing automation and scalable measurement frameworks. Responsibilities - Lead end-to-end media analytics and measurement strategy across campaigns - Translate performance data into actionable insights that drive optimization - Develop measurement frameworks and learning agendas aligned to goals - Deliver audience, competitive, and cross-channel insights to inform strategy - Ensure dashboards and outputs are polished, intuitive, and decision-ready - Mentor team members to elevate work from reporting to insight generation Core Capabilities (Strategy, Analytics & Tools) - Leads insight-driven measurement strategies tied to business outcomes - Identifies key performance drivers, gaps, and growth opportunities across campaigns - Develops and operationalizes measurement frameworks connecting media, audience, and business KPIs - Synthesizes cross-channel data into clear insights that inform optimization and planning - Leverages tools (CM360, Meta, Adobe/GA4, Tableau/Looker, GCP, Funnel.io) to generate insights at scale - Uses automation to reduce manual reporting and accelerate speed-to-insight - Applies advanced methods (testing, attribution, MMM) when needed to solve key business questions - Ensures strong data quality, taxonomy, and governance Communication & Client Leadership - Translates complex data into clear, concise insights that drive action - Leads client conversations focused on implications, tradeoffs, and next steps—not reporting - Delivers polished, executive-ready storytelling and presentations - Acts as a trusted advisor to clients, shaping strategy through data-informed recommendations - Brings proactive insights, trends, and opportunities to clients and internal teams - Aligns analytics with media and strategy to ensure insights translate into action - Coaches team members to elevate deliverables from data output to strategic recommendations Qualifications - 7+ years of experience in media analytics, marketing analytics, or data science, preferably within a digital or paid media environment - Strong expertise in paid media measurement, KPIs, and performance optimization across channels - Proven ability to translate data into clear insights and actionable recommendations that influence business decisions - Experience developing measurement frameworks, learning agendas, and performance strategies - Advanced proficiency with analytics and visualization tools (e.g., Adobe Analytics, GA4, Tableau, Looker) - Experience with data transformation, automation, and pipeline tools (e.g., SQL, GCP, Funnel.io) - Strong communication and storytelling skills with experience presenting to senior partners or clients - Ability to lead projects and mentor teams, ensuring delivery of high-quality, data-driven outputs Benefits - Paid Family Care for parents and caregivers for 12 weeks or more - Monetary assistance and support for Adoption, Surrogacy and Fertility - Monetary assistance and support for pet adoption - Employee Assistance Programs and Health/Wellness/Comfort reimbursements to help you invest in your future and work/life balance - Tuition Assistance - Paid time off that includes Flexible Time off, Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and more - Matching Gifts programs - Flexible working arrangements - ‘Work Your World’ Program encouraging employees to work from anywhere - Business Resource Groups that support multiple affinities and alliances