{"schemaVersion":"jobsearcher.job.v1","id":"bd084276ca49decb6baad5be","url":"https://jobsearcher.com/jobs/bd084276ca49decb6baad5be","canonicalUrl":"https://jobsearcher.com/jobs/bd084276ca49decb6baad5be","title":"Data Science (Python) Quant Analyst","description":"Our client Global Investment Management Firmis seekng Data Science & Analytics (DSA) – Analyst (Quant) - Associatefor a Full Time role4 days onsite / 1 day remote in their Park Avenue, New York officesSalary: $95–100K base / 10–15% bonusLevel: Analyst, Data Science & AnalyticsThis role Reports to: MD, DSA & Executive Director, AI & Business Analysis (AI Lead)you will be working directly with: MDs, Bankers, AI Business Analysts, Data Scientists, IT Developers, Business Management, Product/Technology Teams across Global organisationseeking Data Science & Analytics Analyst (Python/SQL) passionate about applying quantitative methods to solve real business problems and shaping the future of data-driven advisory,seeking a technically strong Data Science & Analytics Analyst who thrives at the intersection of analytics, financial services, and execution.Requres strong quantitative instincts, sound coding skills, and an interest in using data science, machine learning, and AI to support client-facing work and the firm’s broader internal AI platform. The role is expected to support client work first, while also contributing to reusable internal capabilities, models, tooling, and workflows over time.As a Data Science & Analytics Analyst, you will work closely with senior team members, bankers, and business partners to analyze data, build models, structure datasets, and generate insights that improve decision-making, productivity, and client outcomes. You should be comfortable moving from problem definition to analysis to model development to clear communication of results.Firm is expanding its data science and AI capabilities to better support client delivery, banker productivity, and scalable internal innovation.Firm's vision is to build practical, high-impact analytical and AI capabilities that create measurable value.To achieve this, we need an Analyst who can:Apply rigorous quantitative methods to client and business problemsBuild, test, and refine models and analytical assets using structured and unstructured dataTranslate data into clear findings, recommendations, and decision supportContribute to internal AI and analytics capabilities that can scale across teamsKey ResponsibilitiesQuantitative Analysis & ModelingPerform rigorous statistical analysis, exploratory data analysis, feature engineering, and model development across a range of client-facing and internal use casesBuild and refine predictive, classification, segmentation, NLP, and other analytical models using structured and unstructured datasetsEvaluate model performance, document assumptions, and support model validation and testingUse Python, SQL, and related tools to extract, clean, transform, and analyze data efficiently and accuratelyDevelop repeatable analytical approaches and reusable code that improve quality, speed, and consistencyClient Delivery SupportSupport senior team members in delivering analytical workstreams tied to client mandates, strategic analyses, and business development initiativesHelp frame business questions into analytical hypotheses, required data inputs, and model approachesPrepare analyses, visualizations, and outputs that can be translated into clear client-ready materialsWork with bankers and internal stakeholders to refine requirements, validate findings, and improve usability of outputsContribute to high-priority, time-sensitive analyses in support of live deal, strategic, and sector workAI & Internal Platform ContributionContribute to the development of internal AI and analytics assets, including reusable workflows, data pipelines, prompts, evaluation approaches, and model-enabled toolsSupport the testing and refinement of AI-enabled workflows tied to knowledge retrieval, summarization, classification, and productivity enhancementHelp identify opportunities to reuse client-facing analytical patterns within the firm’s internal AI buildPartner with engineering and business teams to move analytical solutions from prototype to practical usageMeasurement, Governance, and ControlsDocument methodologies, data sources, model logic, and outputs in a clear and auditable mannerSupport adherence to internal standards related to model governance, data quality, explainability, and information securityAssist in defining success metrics for analytical solutions, including accuracy, time saved, quality lift, and business impactHelp maintain disciplined testing, issue tracking, and version control across analytical workWays of WorkingOperate with strong attention to detail, sound judgment, and a high bar for analytical qualityCollaborate effectively across data science, business analysis, technology, and business stakeholdersLearn quickly, absorb context fast, and contribute across multiple workstreams at onceStay current on emerging techniques in machine learning, analytics, and AI relevant to financial servicesEducationBachelor’s degree required, preferably in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Finance, or a related quantitative fieldMaster’s degree is a plus, but not requiredExperience2 years of experience in data science, analytics, quantitative consulting, financial services,experience in investment banking, financial services, consulting, or a similarly demanding environment is preferredExperience supporting client-facing analytical work is a plusCore SkillsStrong quantitative, statistical, and problem-solving capabilitiesAbility to structure ambiguous questions into analytical workplansStrong written and verbal communication skills, including the ability to explain technical findings to non-technical audiencesHigh attention to detail and ability to deliver under tight timelinesAI, Data, and Technical Skills requiredExperience with Python and SQLStrong statistical analysis skillsFamiliarity with common data science libraries and workflows for analysis, modeling, and visualizationExposure to machine learning (ML) techniques such as regression, classification, clustering, time series, optimization, or NLPFamiliarity with working across structured and unstructured datasets comfortable operating in a fast-paced, high-expectation environmentInterested in applying quantitative methods to real commercial and client outcomesPreffered skills:Exposure to LLMs, prompt design, retrieval workflows, or AI tooling is a plusFamiliarity with Power BI, Tableau, or similar visualization tools is a plusFamiliarity with Git, notebook-based development, and sound coding/documentation practices is preferredPSmust currently reside in the NY metro areamust have a valid Work Permit for the Permanent employement","company":"Howard Sloan Search","rawCompany":"howardsloan search","city":"New York","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-06-17T03:28:19.780Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"},{"code":"13-2051.00","title":"Financial and Investment Analysts","slug":"financial-and-investment-analysts"}],"industries":[{"code":"523940","title":"Portfolio Management and Investment Advice","slug":"portfolio-management-and-investment-advice"},{"code":"523999","title":"Miscellaneous Financial Investment Activities","slug":"miscellaneous-financial-investment-activities"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Science (Python) Quant Analyst","description":"Our client Global Investment Management Firmis seekng Data Science & Analytics (DSA) – Analyst (Quant) - Associatefor a Full Time role4 days onsite / 1 day remote in their Park Avenue, New York officesSalary: $95–100K base / 10–15% bonusLevel: Analyst, Data Science & AnalyticsThis role Reports to: MD, DSA & Executive Director, AI & Business Analysis (AI Lead)you will be working directly with: MDs, Bankers, AI Business Analysts, Data Scientists, IT Developers, Business Management, Product/Technology Teams across Global organisationseeking Data Science & Analytics Analyst (Python/SQL) passionate about applying quantitative methods to solve real business problems and shaping the future of data-driven advisory,seeking a technically strong Data Science & Analytics Analyst who thrives at the intersection of analytics, financial services, and execution.Requres strong quantitative instincts, sound coding skills, and an interest in using data science, machine learning, and AI to support client-facing work and the firm’s broader internal AI platform. The role is expected to support client work first, while also contributing to reusable internal capabilities, models, tooling, and workflows over time.As a Data Science & Analytics Analyst, you will work closely with senior team members, bankers, and business partners to analyze data, build models, structure datasets, and generate insights that improve decision-making, productivity, and client outcomes. You should be comfortable moving from problem definition to analysis to model development to clear communication of results.Firm is expanding its data science and AI capabilities to better support client delivery, banker productivity, and scalable internal innovation.Firm's vision is to build practical, high-impact analytical and AI capabilities that create measurable value.To achieve this, we need an Analyst who can:Apply rigorous quantitative methods to client and business problemsBuild, test, and refine models and analytical assets using structured and unstructured dataTranslate data into clear findings, recommendations, and decision supportContribute to internal AI and analytics capabilities that can scale across teamsKey ResponsibilitiesQuantitative Analysis & ModelingPerform rigorous statistical analysis, exploratory data analysis, feature engineering, and model development across a range of client-facing and internal use casesBuild and refine predictive, classification, segmentation, NLP, and other analytical models using structured and unstructured datasetsEvaluate model performance, document assumptions, and support model validation and testingUse Python, SQL, and related tools to extract, clean, transform, and analyze data efficiently and accuratelyDevelop repeatable analytical approaches and reusable code that improve quality, speed, and consistencyClient Delivery SupportSupport senior team members in delivering analytical workstreams tied to client mandates, strategic analyses, and business development initiativesHelp frame business questions into analytical hypotheses, required data inputs, and model approachesPrepare analyses, visualizations, and outputs that can be translated into clear client-ready materialsWork with bankers and internal stakeholders to refine requirements, validate findings, and improve usability of outputsContribute to high-priority, time-sensitive analyses in support of live deal, strategic, and sector workAI & Internal Platform ContributionContribute to the development of internal AI and analytics assets, including reusable workflows, data pipelines, prompts, evaluation approaches, and model-enabled toolsSupport the testing and refinement of AI-enabled workflows tied to knowledge retrieval, summarization, classification, and productivity enhancementHelp identify opportunities to reuse client-facing analytical patterns within the firm’s internal AI buildPartner with engineering and business teams to move analytical solutions from prototype to practical usageMeasurement, Governance, and ControlsDocument methodologies, data sources, model logic, and outputs in a clear and auditable mannerSupport adherence to internal standards related to model governance, data quality, explainability, and information securityAssist in defining success metrics for analytical solutions, including accuracy, time saved, quality lift, and business impactHelp maintain disciplined testing, issue tracking, and version control across analytical workWays of WorkingOperate with strong attention to detail, sound judgment, and a high bar for analytical qualityCollaborate effectively across data science, business analysis, technology, and business stakeholdersLearn quickly, absorb context fast, and contribute across multiple workstreams at onceStay current on emerging techniques in machine learning, analytics, and AI relevant to financial servicesEducationBachelor’s degree required, preferably in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Finance, or a related quantitative fieldMaster’s degree is a plus, but not requiredExperience2 years of experience in data science, analytics, quantitative consulting, financial services,experience in investment banking, financial services, consulting, or a similarly demanding environment is preferredExperience supporting client-facing analytical work is a plusCore SkillsStrong quantitative, statistical, and problem-solving capabilitiesAbility to structure ambiguous questions into analytical workplansStrong written and verbal communication skills, including the ability to explain technical findings to non-technical audiencesHigh attention to detail and ability to deliver under tight timelinesAI, Data, and Technical Skills requiredExperience with Python and SQLStrong statistical analysis skillsFamiliarity with common data science libraries and workflows for analysis, modeling, and visualizationExposure to machine learning (ML) techniques such as regression, classification, clustering, time series, optimization, or NLPFamiliarity with working across structured and unstructured datasets comfortable operating in a fast-paced, high-expectation environmentInterested in applying quantitative methods to real commercial and client outcomesPreffered skills:Exposure to LLMs, prompt design, retrieval workflows, or AI tooling is a plusFamiliarity with Power BI, Tableau, or similar visualization tools is a plusFamiliarity with Git, notebook-based development, and sound coding/documentation practices is preferredPSmust currently reside in the NY metro areamust have a valid Work Permit for the Permanent employement","datePosted":"2026-06-17T03:28:19.780Z","dateModified":"2026-06-17T03:28:19.780Z","hiringOrganization":{"@type":"Organization","name":"Howard Sloan Search","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bd084276ca49decb6baad5be"},"url":"https://jobsearcher.com/jobs/bd084276ca49decb6baad5be"}}