Job Title Data ScientistDuration 12 MonthsWork Model Hybrid (3 days per week in office)Role Overview We are seeking an experienced Data Scientist with strong Banking and Capital Markets domain expertise to support data-driven decision-making initiatives. The role focuses on analyzing complex financial datasets, developing statistical and machine learning models, and supporting risk, compliance, and regulatory use cases. The ideal candidate brings deep analytical skills, strong SQL and Python experience, and the ability to translate business and regulatory requirements into effective analytical solutions.Typical Day in the RoleAnalyze large, complex datasets from banking and capital markets domains to extract insights and identify trendsDevelop, validate, and deploy statistical models and machine learning solutions to support business initiativesCollaborate with business stakeholders to translate financial and regulatory requirements into analytical solutionsSupport risk, compliance, and regulatory reporting use cases (e.g., stress testing, credit risk)Perform data exploration, feature engineering, and model performance evaluationDesign and optimize SQL queries for data extraction, transformation, and analysisDevelop analytics workflows and models using Python and related librariesCommunicate insights through dashboards, visualizations, and clear documentationEnsure data quality, integrity, and compliance with internal governance and regulatory standardsCandidate Requirements Must-Have Skills10+ years of proven experience as a Data Scientist or Data Analyst, with 10+ at least 5 years in Banking or Capital Markets calculations5+ years of proficiency in SQL for complex data querying and performance optimization2+ years of hands‑on experience with Python (basic coding knowledge)Experience working with large structured and unstructured datasetsStrong foundation in statistics, data analysis, and predictive modelingNice-to-Have SkillsStrong understanding of financial products, markets, and industry dataKnowledge of regulatory frameworks and reportingFamiliarity with data visualization tools such as Power BI or TableauBasic understanding of LLMs and AI tools (e.g., Copilot)Soft SkillsStrong analytical thinking and problem-solving abilitiesExcellent communication and stakeholder management skillsAbility to work independently and collaborate effectively in cross‑functional teamsHigh attention to detail with a strong focus on data accuracy and governanceAbility to explain complex models and results to non‑technical audiencesEducation Bachelor’s degree required; experienced candidates prioritizedCandidate Profile Best Candidate:Extensive experience in Banking and Capital Markets data analysisStrong regulatory and risk domain knowledgeHands‑on expertise in SQL and Python applied to real‑world financial use casesAverage Candidate:Solid data science fundamentals with some banking exposureMeets core SQL and Python requirementsLimited regulatory or advanced financial domain experience#J-18808-Ljbffr