{"schemaVersion":"jobsearcher.job.v1","id":"415f5d998a11714ca0a62b35","url":"https://jobsearcher.com/jobs/415f5d998a11714ca0a62b35","canonicalUrl":"https://jobsearcher.com/jobs/415f5d998a11714ca0a62b35","title":"Data Science (Python) Quant Analyst","description":"Our client Global Investment Management Firm\r\nData Science & Analytics (DSA) – Analyst (Quant) - Associate\r\nfor a Full Time role\r\n4 days onsite / 1 day remote in their Park Avenue, New York offices\r\nSalary: $95–100K base / 10–15% bonus\r\nLevel: Analyst, Data Science & Analytics\r\nThis role Reports to: MD, DSA & Executive Director, AI & Business Analysis (AI Lead)\r\nyou will be working directly with: MDs, Bankers, AI Business Analysts, Data Scientists, IT Developers, Business Management, Product/Technology Teams across Global organization\r\nseeking Data Science & Analytics Analyst (Python/SQL) passionate about applying quantitative methods to solve real business problems and shaping the future of data-driven advisory,\r\nseeking a technically strong Data Science & Analytics Analyst who thrives at the intersection of analytics, financial services, and execution.\r\nRequres 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.\r\nAs 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.\r\nFirm is expanding its data science and AI capabilities to better support client delivery, banker productivity, and scalable internal innovation.\r\nFirm's vision is to build practical, high-impact analytical and AI capabilities that create measurable value.\r\nTo achieve this, we need an Analyst who can:\r\nApply rigorous quantitative methods to client and business problems\r\nBuild, test, and refine models and analytical assets using structured and unstructured data\r\nTranslate data into clear findings, recommendations, and decision support\r\nContribute to internal AI and analytics capabilities that can scale across teams\r\nKey Responsibilities Quantitative Analysis & Modeling Perform rigorous statistical analysis, exploratory data analysis, feature engineering, and model development across a range of client-facing and internal use cases\r\nBuild and refine predictive, classification, segmentation, NLP, and other analytical models using structured and unstructured datasets\r\nEvaluate model performance, document assumptions, and support model validation and testing\r\nUse Python, SQL, and related tools to extract, clean, transform, and analyze data efficiently and accurately\r\nDevelop repeatable analytical approaches and reusable code that improve quality, speed, and consistency\r\nClient Delivery Support Support senior team members in delivering analytical workstreams tied to client mandates, strategic analyses, and business development initiatives\r\nHelp frame business questions into analytical hypotheses, required data inputs, and model approaches\r\nPrepare analyses, visualizations, and outputs that can be translated into clear client-ready materials\r\nWork with bankers and internal stakeholders to refine requirements, validate findings, and improve usability of outputs\r\nContribute to high-priority, time-sensitive analyses in support of live deal, strategic, and sector work\r\nAI & Internal Platform Contribution Contribute to the development of internal AI and analytics assets, including reusable workflows, data pipelines, prompts, evaluation approaches, and model-enabled tools\r\nSupport the testing and refinement of AI-enabled workflows tied to knowledge retrieval, summarization, classification, and productivity enhancement\r\nHelp identify opportunities to reuse client-facing analytical patterns within the firm's internal AI build\r\nPartner with engineering and business teams to move analytical solutions from prototype to practical usage\r\nMeasurement, Governance, and Controls Document methodologies, data sources, model logic, and outputs in a clear and auditable manner\r\nSupport adherence to internal standards related to model governance, data quality, explainability, and information security\r\nAssist in defining success metrics for analytical solutions, including accuracy, time saved, quality lift, and business impact\r\nHelp maintain disciplined testing, issue tracking, and version control across analytical work\r\nWays of Working Operate with strong attention to detail, sound judgment, and a high bar for analytical quality\r\nCollaborate effectively across data science, business analysis, technology, and business stakeholders\r\nLearn quickly, absorb context fast, and contribute across multiple workstreams at once\r\nStay current on emerging techniques in machine learning, analytics, and AI relevant to financial services\r\nEducation Bachelor's degree required, preferably in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Finance, or a related quantitative field\r\nMaster's degree is a plus, but not required\r\nExperience 2 years of experience in data science, analytics, quantitative consulting, financial services,\r\nexperience in investment banking, financial services, consulting, or a similarly demanding environment is preferred\r\nExperience supporting client-facing analytical work is a plus\r\nCore Skills Strong quantitative, statistical, and problem-solving capabilities\r\nAbility to structure ambiguous questions into analytical workplans\r\nStrong written and verbal communication skills, including the ability to explain technical findings to non-technical audiences\r\nHigh attention to detail and ability to deliver under tight timelines\r\nAI, Data, and Technical Skills required Experience with Python and SQL\r\nStrong statistical analysis skills\r\nFamiliarity with common data science libraries and workflows for analysis, modeling, and visualization\r\nExposure to machine learning (ML) techniques such as regression, classification, clustering, time series, optimization, or NLP\r\nFamiliarity with working across structured and unstructured datasets\r\nInterested in applying quantitative methods to real commercial and client outcomes\r\nPreffered skills Exposure to LLMs, prompt design, retrieval workflows, or AI tooling is a plus\r\nFamiliarity with Power BI, Tableau, or similar visualization tools is a plus\r\nFamiliarity with Git, notebook-based development, and sound coding/documentation practices is preferred\r\nPS must currently reside in the NY metro area\r\nmust have a valid Work Permit for the Permanent employement\r\nJ-18808-Ljbffr","company":"Howard Sloan Search","rawCompany":"howard sloan search","city":"New York","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-07-16T01:41:48.364Z","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 Firm\r\nData Science & Analytics (DSA) – Analyst (Quant) - Associate\r\nfor a Full Time role\r\n4 days onsite / 1 day remote in their Park Avenue, New York offices\r\nSalary: $95–100K base / 10–15% bonus\r\nLevel: Analyst, Data Science & Analytics\r\nThis role Reports to: MD, DSA & Executive Director, AI & Business Analysis (AI Lead)\r\nyou will be working directly with: MDs, Bankers, AI Business Analysts, Data Scientists, IT Developers, Business Management, Product/Technology Teams across Global organization\r\nseeking Data Science & Analytics Analyst (Python/SQL) passionate about applying quantitative methods to solve real business problems and shaping the future of data-driven advisory,\r\nseeking a technically strong Data Science & Analytics Analyst who thrives at the intersection of analytics, financial services, and execution.\r\nRequres 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.\r\nAs 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.\r\nFirm is expanding its data science and AI capabilities to better support client delivery, banker productivity, and scalable internal innovation.\r\nFirm's vision is to build practical, high-impact analytical and AI capabilities that create measurable value.\r\nTo achieve this, we need an Analyst who can:\r\nApply rigorous quantitative methods to client and business problems\r\nBuild, test, and refine models and analytical assets using structured and unstructured data\r\nTranslate data into clear findings, recommendations, and decision support\r\nContribute to internal AI and analytics capabilities that can scale across teams\r\nKey Responsibilities Quantitative Analysis & Modeling Perform rigorous statistical analysis, exploratory data analysis, feature engineering, and model development across a range of client-facing and internal use cases\r\nBuild and refine predictive, classification, segmentation, NLP, and other analytical models using structured and unstructured datasets\r\nEvaluate model performance, document assumptions, and support model validation and testing\r\nUse Python, SQL, and related tools to extract, clean, transform, and analyze data efficiently and accurately\r\nDevelop repeatable analytical approaches and reusable code that improve quality, speed, and consistency\r\nClient Delivery Support Support senior team members in delivering analytical workstreams tied to client mandates, strategic analyses, and business development initiatives\r\nHelp frame business questions into analytical hypotheses, required data inputs, and model approaches\r\nPrepare analyses, visualizations, and outputs that can be translated into clear client-ready materials\r\nWork with bankers and internal stakeholders to refine requirements, validate findings, and improve usability of outputs\r\nContribute to high-priority, time-sensitive analyses in support of live deal, strategic, and sector work\r\nAI & Internal Platform Contribution Contribute to the development of internal AI and analytics assets, including reusable workflows, data pipelines, prompts, evaluation approaches, and model-enabled tools\r\nSupport the testing and refinement of AI-enabled workflows tied to knowledge retrieval, summarization, classification, and productivity enhancement\r\nHelp identify opportunities to reuse client-facing analytical patterns within the firm's internal AI build\r\nPartner with engineering and business teams to move analytical solutions from prototype to practical usage\r\nMeasurement, Governance, and Controls Document methodologies, data sources, model logic, and outputs in a clear and auditable manner\r\nSupport adherence to internal standards related to model governance, data quality, explainability, and information security\r\nAssist in defining success metrics for analytical solutions, including accuracy, time saved, quality lift, and business impact\r\nHelp maintain disciplined testing, issue tracking, and version control across analytical work\r\nWays of Working Operate with strong attention to detail, sound judgment, and a high bar for analytical quality\r\nCollaborate effectively across data science, business analysis, technology, and business stakeholders\r\nLearn quickly, absorb context fast, and contribute across multiple workstreams at once\r\nStay current on emerging techniques in machine learning, analytics, and AI relevant to financial services\r\nEducation Bachelor's degree required, preferably in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Finance, or a related quantitative field\r\nMaster's degree is a plus, but not required\r\nExperience 2 years of experience in data science, analytics, quantitative consulting, financial services,\r\nexperience in investment banking, financial services, consulting, or a similarly demanding environment is preferred\r\nExperience supporting client-facing analytical work is a plus\r\nCore Skills Strong quantitative, statistical, and problem-solving capabilities\r\nAbility to structure ambiguous questions into analytical workplans\r\nStrong written and verbal communication skills, including the ability to explain technical findings to non-technical audiences\r\nHigh attention to detail and ability to deliver under tight timelines\r\nAI, Data, and Technical Skills required Experience with Python and SQL\r\nStrong statistical analysis skills\r\nFamiliarity with common data science libraries and workflows for analysis, modeling, and visualization\r\nExposure to machine learning (ML) techniques such as regression, classification, clustering, time series, optimization, or NLP\r\nFamiliarity with working across structured and unstructured datasets\r\nInterested in applying quantitative methods to real commercial and client outcomes\r\nPreffered skills Exposure to LLMs, prompt design, retrieval workflows, or AI tooling is a plus\r\nFamiliarity with Power BI, Tableau, or similar visualization tools is a plus\r\nFamiliarity with Git, notebook-based development, and sound coding/documentation practices is preferred\r\nPS must currently reside in the NY metro area\r\nmust have a valid Work Permit for the Permanent employement\r\nJ-18808-Ljbffr","datePosted":"2026-07-16T01:41:48.364Z","dateModified":"2026-07-16T01:41:48.364Z","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":"415f5d998a11714ca0a62b35"},"url":"https://jobsearcher.com/jobs/415f5d998a11714ca0a62b35"}}