{"id":3983384,"url":"https://alion.io/job/standard-chartered-director-otcr-data-scientist","title":"Director, OTCR, Data Scientist","company":{"id":20709,"name":"Standard Chartered","domain":"sc.com","url":"https://alion.io/company/standard-chartered-gbs","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":{"grade":"A","score":96,"open_postings":79,"ghost_share":0,"stale_share":0.354,"repost_share":0.013,"time_to_fill_p50_days":21,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Data Science","role_family":"Data Science","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-11-09T20:43:14Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-11T08:27:25Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Summary\nWe are looking for a Data Scientist to join our OTCR Transformation Programme in London, where you will leverage advanced analytics, machine learning, and data visualisation to deliver actionable insights that support strategic risk decisions. This is an opportunity to work on high-impact transformation initiatives, collaborate with senior stakeholders, and help build a stronger data-driven risk culture across the organisation.\nKey Responsibilities\nData Analysis and Modelling\nPerform exploratory data analysis to identify trends, anomalies and insights across internal and external datasets.\nDevelop and implement predictive models using machine learning, statistical methods and natural language processing, where appropriate.\nApply quantitative analysis to support scenario assessments, thematic reviews and stress testing.\nEnsure model outputs are explainable, validated and compliant with internal governance standards.\nData Management and Quality Assurance\nIngest, clean and transform datasets from internal systems (e.g. M7, iTrack, FICA) and external sources (e.g. ORX and industry loss databases).\nBuild and maintain reliable data pipelines to support consistent and repeatable analysis.\nMaintain data integrity through data lineage documentation, quality checks and reconciliation processes.\nEnsure datasets are audit-ready and meet internal governance and regulatory requirements.\nData Visualisation and Communication\nDevelop dashboards and visualisations using Power BI, Tableau, Python or equivalent tools.\nPresent analytical findings clearly to support senior management decision-making.\nTranslate complex technical outputs into practical insights for governance and committee reporting.\n\nStakeholder Collaboration and Analytical Support\nWork closely with Risk SMEs, Technology teams and business stakeholders to define analytical requirements and develop practical solutions.\nProvide data-driven insights to support risk management and transformation decisions.\nShare analytical expertise and contribute to building data literacy and analytical capabilities within OTCR.\nRisk Governance and Compliance\nEnsure analytical activities comply with applicable risk management frameworks, data governance standards and regulatory requirements.\nMaintain appropriate documentation, controls and evidence to support model validation, audit and regulatory scrutiny.\nEscalate material data quality issues, analytical limitations and risks to relevant stakeholders.\nSkills and Experience\nPriority Skills\nData Science and Advanced Analytics\nStatistical Modelling and Machine Learning\nData Management and Quality Assurance\nPython / R / SQL\nData Visualisation and Reporting\nAnalytical and Critical Thinking\nRisk Management and Regulatory Knowledge\nStakeholder Engagement and Communication\nData Governance and Model Validation\nTransformation Programme Support\nOther Skills\nSpark / SAS and Large-Scale Data Processing\nPower BI / Tableau\nData Pipeline Development\nScenario Analysis and Stress Testing\nCross-Functional Collaboration\nQualifications\n5-8 years of experience in data science, advanced analytics or statistical modelling, preferably within financial services or risk management.\nPractical experience in data analysis, machine learning, data pipeline development and data visualisation, with the ability to communicate technical findings to non-technical stakeholders. Experience supporting large-scale transformation or regulatory programmes is desirable.\nBachelor’s or Master’s degree in Data Science, Statistics, Computer Science or a related discipline.\nRelevant professional certifications in data science, analytics or related disciplines are desirable.\nProficiency in English, including the ability to communicate technical findings clearly to business stakeholders.\nAbout Standard Chartered\nWe're a global bank connecting clients to our differentiated network, offering growth opportunities in the world's most dynamic markets. Our strategy, which combines cross-border capabilities and leading wealth management expertise, helps us deliver our purpose - to drive commerce and prosperity through our unique diversity.\nOver our 170-year history, and across a unique geographical footprint connecting Asia, Africa and the Middle East to each other and the world, we've built a bank like no other, with diverse capabilities and partnerships that set us apart.\nWhat We Offer\nBeing part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions, and geographies.\nIn line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.\nCore bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.\n Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.\nFlexible working options based around home and office locations, with flexible working patterns.\nProactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global employee assistance programme, sick leave, mental health first-aiders and self-help toolkits.\n A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual, and digital learning.\nVisit our careers website to learn more about us: 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