{"id":2087788,"url":"https://alion.io/job/chase-uk-data-scientist","title":"Data Scientist","company":{"id":1854819,"name":"Chase UK","domain":"chase.co.uk","url":"https://alion.io/company/chase-co-uk","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":100,"open_postings":269,"ghost_share":0.011,"stale_share":0,"repost_share":0.097,"time_to_fill_p50_days":4,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Manila, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12000,"max_usd":36000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":434},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-10-08T12:18:30Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-11T00:53:35Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Bring your expertise to a role where advanced analytics directly supports valuation and risk management decisions. You’ll own projects end-to-end, from requirements through implementation and measurable outcomes. You’ll help strengthen data governance and reliability while improving how analysis is delivered and consumed. If you enjoy translating complex data into clear, decision-ready outputs, this role is for you.\nJob summary :\nAs a Data Scientist in the Mortgage Servicing Rights team, you use data science and analytics to support portfolio valuation and risk management. You partner with quantitative modelers, business stakeholders, and technology teams to design and deliver tools and analyses that improve decision-making. You manage delivery end-to-end, ensuring outputs are timely, well-tested, and documented. You apply strong data management discipline and follow applicable governance and security standards to ensure trusted results.\nJob responsibilities:\nAssemble, organize, and analyze data using proprietary, industry-standard, and open-source sources and tools\nDevelop, test, and maintain Python utilities that support valuation and risk analytics workflows\nSupport valuation model and risk processes by managing data access, data inputs, and local implementation needs\nGather requirements and implement analytical tooling into a proprietary analytics platform used by the team\nTranslate business needs into datasets and data models that support valuation, back-testing, and analysis\nApply modern product delivery practices to improve solution usability, reliability, and reuse\nManage projects end-to-end, including scope, milestones, dependencies, and execution quality\nDeliver data-driven insights and analytical support to quantitative modelers and business stakeholders\nEnsure adherence to data governance, security standards, and documentation expectations\nDocument processes, definitions, and assumptions to enable repeatable analysis and audit-ready outputs\nIdentify and implement opportunities to improve data tools, automation, and analytics capabilities\nRequired qualifications, capabilities, and skills:\nBachelor’s degree in financial engineering, statistics, mathematics, computer science, or a related field\nTwo years of experience in data-focused development or analytics roles\nAdvanced Python proficiency for data analysis and production-quality code\nProficiency with SQL for data extraction, transformation, and analysis\nExperience with machine learning and statistical modeling methods, including classification, regression, and time-series forecasting\nKnowledge of fixed income analytics and financial modeling concepts relevant to valuation and risk work\nExperience applying generative artificial intelligence methods to business problems, including selecting an appropriate approach\nAbility to translate complex concepts into clear, decision-ready communication for varied audiences\nStrong software and systems analysis skills, including requirements translation and solution design\nAbility to manage multiple deliverables with strong attention to detail and execution discipline\nAbility to work independently and collaboratively in a fast-paced environment\nPreferred qualifications, capabilities, and skills:\nMaster’s degree in financial engineering, statistics, mathematics, computer science, or a related field\nExperience with performance analysis and code optimization\nFamiliarity with mortgage loan data and common mortgage analytics concepts (for example, prepayment and cash flow modeling)\nExperience integrating analytics tools into proprietary platforms used for valuation or risk workflows\nExperience in financial services, particularly mortgage analytics or risk management\nDemonstrated ability to deliver results under tight timelines 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