{"id":1411880,"url":"https://alion.io/job/banco-santander-senior-financial-risk-analytics-engineer","title":"Senior Financial Risk Analytics Engineer","company":{"id":11879,"name":"Banco Santander","domain":"santander.com","url":"https://alion.io/company/banco-santander","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":94,"open_postings":113,"ghost_share":0,"stale_share":0.389,"repost_share":0.088,"time_to_fill_p50_days":13,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Stamford, United States","New York, United States","Boston, United States","Dallas, United States","Miami, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":82000,"max_usd":159000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1721},"experience_years_min":10,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Oracle","optional":false},{"name":"Python","optional":false},{"name":"QlikSense","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-09-28T19:22:06Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-18T17:06:54Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":20},"description":"Senior Financial Risk Analytics EngineerCountry: United States of AmericaIt Starts Here:\nSantander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible. This is more than a strategic shift. It’s a chance for driven professionals to grow, learn, and make a real difference.\nIf you are interested in exploring the possibilities We Want to Talk to You!\nThe Difference You Make\nThe Senior Financial Risk Analytics Engineer plays a critical role in supporting the Bank’s reserving, stress-testing, underwriting, and financial forecasting activities. This position is responsible for designing, developing, maintaining, and enhancing data workflows, analytical solutions, and credit loss models that support regulatory compliance, risk management, and strategic decision-making. Working closely with Finance, Risk, IT, Data Management, and business partners, this role transforms complex business requirements into scalable analytical and technology solutions that drive actionable insights across the organization.\nPosition Summary\nResearch, scope, and manage the business requirements, workflows, data needs, resource requirements, and implementation plans for CECL credit loss models supporting stress-testing, reserving, and underwriting activities.\nDesign, develop, code, implement, and maintain analytical models and supporting infrastructure.\nDevelop and maintain expert knowledge of Webster’s data systems, databases, tools, and reporting environments.\nDesign, build, and maintain robust data workflows and automated processes that support forecasting, reserving, and risk management activities.\nCollaborate with IT, Data Management, Finance, Risk, and business partners to develop and enhance analytical solutions and reporting capabilities.\nCreate user-friendly reports, dashboards, and data visualizations to support decision-making and performance monitoring.\nAnticipate, identify, and resolve data quality, workflow, and reporting challenges.\nMaintain comprehensive workpapers, model documentation, testing results, and change management records in accordance with governance, audit, and regulatory requirements.\nAuthor reports documenting model design, development, implementation, testing methodologies, and ongoing model enhancements.\nBuild and maintain strong relationships with Lines of Business, Finance, Risk, IT, and Data partners to ensure analytical and software development requirements are effectively delivered.\nLead and/or participate in Model Risk Management, Executive Management, Audit, Regulatory, and cross-functional planning meetings.\nSupport initiatives across one or more key areas including Research & Development, Quarterly Production, and Credit Scorecard development and maintenance.\nWhat You Bring\nTo perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.\nEducation\nBachelor's degree in Computer Science, Engineering, Data Science, Information Systems, Mathematics, Statistics, Finance, Economics, or a related quantitative field. - Required\nMaster's degree in a quantitative discipline. - Preferred\nProfessional Experience\n10+ years of experience working with complex relational database management systems, including Oracle, SQL, or similar platforms. Required\n10+ years of software engineering, data engineering, or analytics experience within a commercial bank or financial institution. - Required\n5+ years of modeling, quantitative analytics, or financial analytics experience within a banking or financial services environment. - Perferred\nSkills\nProficiency in SAS and R/Python or similar analytical programming languages. - Required\nExperience designing, developing, and maintaining large-scale data workflows and automated data pipelines. - Required\nExperience supporting reserving, stress-testing, underwriting, forecasting, or risk management solutions. Perferred\nExperience participating in Model Risk Management, audit, regulatory examination, or governance processes. - Perferred\nExperience developing relationships and collaborating with cross-functional stakeholders across Finance, Risk, IT, Data, and Business functions. Perferred\nExperience with cloud-based computing platforms such as AWS, Azure, or GCP. - Preferred\nExperience with full-stack software development and CI/CD pipeline implementation. - Preferred\nStrong expertise working with relational databases, SQL development, and large-scale data infrastructures.\nExperience designing and maintaining data orchestration workflows using tools such as Apache Airflow or similar platforms.\nKnowledge of reporting, business intelligence, and dashboarding tools, including Tableau, Qlik Sense, or comparable solutions.\nUnderstanding of commercial and consumer banking products, operations, processes, and risk management practices.\nKnowledge of software engineering principles, coding standards, testing methodologies, and development best practices.\nStrong analytical, quantitative, and problem-solving skills.\nKnowledge of statistical modeling techniques, machine learning methodologies, optimization techniques, and predictive analytics.\nAbility to gather, document, and translate business requirements into scalable technical solutions.\nStrong organizational and time management skills with the ability to manage multiple priorities and deadlines.\nExcellent verbal and written communication skills with the ability to convey complex technical concepts to non-technical stakeholders.\nDemonstrated ability to work independently, conduct research, and develop innovative solutions.\nStrong attention to detail, initiative, and commitment to delivering high-quality results.\nAbility to identify opportunities for process improvements and recommend scalable solutions.\nCertifications\nNo specific certifications required.\nIt Would Be Nice For You To Have\nEstablished work history or equivalent demonstrated through a combination of work experience, training, military service, or education.\nAdvanced knowledge of statistical theory, including linear models, categorical data analysis, time-series forecasting, optimization techniques, and machine learning methodologies.\nExperience supporting CECL, stress-testing, underwriting, credit scorecards, or other regulatory modeling frameworks.\nExperience with cloud-native analytics and modern data engineering architectures.\nProven ability to think creatively and develop innovative approaches to solving complex business and data challenges.\nWork Authorization & Sponsorship\nApplicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment.\nWhat Else You Need To Know:\nThe base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location.\nBase Pay Range:\nMinimum:\n$108,750.00 USDMaximum:\n$180,000.00 USDWe Value Your Impact:\nYour contribution matters and it’s recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide (foleon.com) \nRisk Culture:\nWe embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management.\nEEO Statement:\nAt Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law.\nWorking Conditions:\nFrequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required.\n\nEmployer Rights:\nThis job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason.\nWhatTo Do Next:\nIf this sounds like a role youareinterested in, then please apply.\nWe are committed to providing an inclusive and accessible application process for all candidates. 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