{"id":2099181,"url":"https://alion.io/job/columbiabank-quantitative-modeler-data-scientist","title":"Quantitative Modeler & Data Scientist","company":{"id":1878099,"name":"Columbia Bank","domain":"columbiabank.com","url":"https://alion.io/company/columbiabank","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":11,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lake Oswego, United States","Hillsboro, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":160000,"currency":"USD","period":"year","gross":null,"usd_annual":160000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"MATLAB","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-12T14:26:40Z","board_verified":true,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"description":"About the Role:\nIn this role, you will develop, implement, and support statistical, mathematical, economic, financial, and AI/ML-driven models that inform business decisions, strengthen risk management, and support strategic initiatives across the bank. The role provides exposure to a broad range of modeling and analytics applications, including financial planning, fraud detection, customer analytics, credit risk, anti-money laundering, asset liability management, and AI-enabled capabilities in areas such as fraud analytics, customer intelligence, process automation, and model monitoring.\nYou will contribute to model validation, governance, documentation, and performance monitoring for financial, non-financial, and AI/ML-enabled models used across the organization. In partnership with stakeholders across the bank, you will provide guidance on model design, selection, implementation, monitoring, and appropriate use, with a focus on sound methodology, regulatory alignment, business value, and responsible adoption of emerging AI technologies.\nDesign, estimate, implement, test, document, monitor, and maintain statistical, financial, economic, machine learning, and AI-enabled models used for business decision-making, risk management, forecasting, and strategic initiatives.\nDevelop and support models for default, loss severity, fraud detection, customer analytics, financial planning, credit risk, anti-money laundering, asset liability management, model monitoring, and other financial and non-financial applications across the bank.\nSupport responsible adoption of AI/ML capabilities by contributing to governance, documentation, monitoring, control design, and appropriate use standards for emerging analytics technologies.\nConduct quantitative analysis, modeling, data mining, and programming using tools such as Databricks, Snowflake, SQL, R, Python, and other approved analytics platforms to generate insights, test hypotheses, and provide actionable recommendations.\nPartner with business units, technology, risk, compliance, and governance stakeholders to identify business needs, define analytical approaches, and develop modeling solutions aligned with internal standards and applicable regulatory expectations, including SR 26-2.\nResearch and Develop quantitative tools and techniques to measure and analyze model risks and establish conclusions on strengths and limitations of the model. Assess conceptual foundations of a model, model specification, underlying assumptions, limitations, variable selection, underlying data, developmental evidence, documentation.\nInterview model developers/vendors and model owners to understand the business context for model use and facilitate the adoption of model risk management standards. Keep up-to-date with any banking regulations affecting model risk management practices across the bank.\nAdvocate sound quantitative, model development, model monitoring, and AI governance practices across the bank.\nPropose and execute model validation tests for new and existing models in the inventory.\nAssist manager in production of regular and ad-hoc reports on individual and Bank-level model findings for Senior Management and regulators.\nCoordinate with model validation team on any changes to the Bank’s model inventory or End user Applications..\nDemonstrates compliance with all bank regulations for assigned job function and applies to designated job responsibilities - knowledge may be gained through coursework and on-the-job training. Keeps up to date on regulation changes.\nFollows all Bank policies and procedures, compliance regulations, and completes all required annual or job-specific training.\nMaintain a working knowledge of Bank's written policies and procedures regarding Bank Secrecy Act, Regulation CC, Regulation E, Bank Security and other regulations as applicable to this job description.\nMay be asked to coach, mentor, or train others and teach coursework as subject matter expert.\nActively learns, demonstrates, and fosters the Columbia corporate culture in all actions and words.\nTakes personal initiative and is a positive example for others to emulate.\nEmbraces our vision to become “Business Bank of Choice”\nMay perform other duties as assigned.\nAbout You:\nMaster's Degree Master’s Degree in economics, mathematics, statistics, financial engineering, quantitative finance, or actuarial sciences. Required\nPh.D. Doctoral degree or equivalent experience. Preferred.\n2-4 years in banking or financial services as a Data Scientist, Statistician, Quantitative Risk Analyst, Model Developer, Model Validator, or similar. Required\nKnowledge of regulatory requirements related to model risk management (FRB/OCC SR 26-2), Basel II/III capital requirements, and Dodd-Frank Act Stress Testing (DFAST).\nAdvanced understanding of statistical modeling, econometric forecasting, machine learning, data extraction and processing techniques; and demonstrated ability to apply such methods.\nExperience with analytics software ( Python, PySpark, R, Matlab, Excel VBA, SQL), relational databases and/or cloud computing platforms like Azure, AWS, Databricks, Snowflake.\nPossess communication skills, both oral and written, with ability to translate complex statistical or economic theories and analysis into practical implications for business teams and Senior Management.\nDemonstrate strong organizational skills, with the ability to manage multiple concurrent projects.\nAbility to proactively learn newly emerging statistical, econometric, and mathematical modeling techniques, and understand the implications of their use in a banking organization.\nProven organizational skills are required to perform multiple tasks simultaneously to meet strict deadlines. Critical thinker with business intuition, intellectual curiosity, and ability to execute. \nCertification as Financial Risk Manager (FRM), Chartered Financial Analyst (CFA), or Certificate in Quantitative Finance (CQF) or progress toward the Certification.\nThe pay range for this role is $100,000.00 - $160,000.00.\nThe pay rate for the selected candidate is dependent upon a variety of non-discriminatory factors including, but not limited to, job-related knowledge, skills, and experience, education, and geographic location. The role may be eligible for performance-based incentive compensation, and those details will be provided during the recruitment process.\nPrimary Location: Ability to work fully onsite at posted location(s).\n5885 Meadows Road Suite 300 Lake Oswego OR 97035Our Benefits:\nWe are proud to offer a competitive total rewards package including base wages and comprehensive benefits.\nWe offer eligible associates comprehensive healthcare coverage (medical, dental, and vision plans), a 401(k)-retirement savings plan with employer match for qualifying associate contributions, an employee assistance program, life insurance, disability insurance, tuition assistance, mental health resources, identity theft protection, legal support, auto and home insurance, pet insurance, access to an online discount marketplace, and paid vacation, sick days, volunteer days, and holidays. Benefit eligibility begins the first day of the month following the date of hire for associates who are regularly scheduled to work at least thirty hours weekly.\nOur Commitment to Diversity:\nColumbia Bank is an equal opportunity and affirmative action employer committed to employing, engaging, and developing a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, age, sexual orientation, gender identity, gender expression, protected veteran status, disability, or any other applicable protected status or characteristics. If you require an accommodation to complete the application or interview(s), please let us know by email: .\nTo Staffing and Recruiting Agencies:\nOur posted job opportunities are only intended for individuals seeking employment at Columbia Bank. Columbia Bank does not accept unsolicited resumes or applications from agencies and Columbia Bank will not be responsible for any fees related to unsolicited resume submissions. Staffing and recruiting agencies are not authorized to submit profiles, applications, or resumes to this site or to any Columbia Bank employee and any such submissions will be considered unsolicited unless requested directly by a member of the Talent Acquisition team.","description_format":"text","description_chars":8462,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Life insurance","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Leasing, Auto & Equipment Finance"],"lifecycle":[{"event":"open","at":"2026-10-08T17:47:27Z"}],"visa":[],"liveness":{"score":30,"band":"fade","label":"Fading","p_open":1,"p_active":0.543,"p_room":0.55,"age_days":13,"expected_fill_days":11,"reasons":["conf:4","velocity","win:tail","comp:junior,brand"],"computed_at":"2026-10-12T06:55:09Z"},"pay":{"stated_usd_annual":160000,"is_top_pay":true},"html_url":"https://alion.io/job/columbiabank-quantitative-modeler-data-scientist","json_url":"https://alion.io/job/columbiabank-quantitative-modeler-data-scientist.json","meta":{"generated_at":"2026-10-12T15:06:45Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":23873,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1878099},"rest":"https://alion.io/mcp/rest/get_company?id=1878099"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcolumbiabank-quantitative-modeler-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcolumbiabank-quantitative-modeler-data-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcolumbiabank-quantitative-modeler-data-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/columbiabank-quantitative-modeler-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcolumbiabank-quantitative-modeler-data-scientist"}]}