afc modelling - data scientist - associate - vice president

data engineer

(usa) data analyst ii

afc modelling - data scientist - associate - vice president Jobs in New York

analyst, advanced analytics Jobs in New York

analyst, advanced analytics

analyst, data and analysis Jobs in New York

analyst, data and analysis

data science python quant analyst

Howard-Sloan Search

<div>
 
 
 Our client Global Investment Management Firm
 
 
 
 
 is seekng
 
 
 
 Data Science &amp; Analytics (DSA) &ndash; Analyst (Quant) - Associate
 
 
 
 for a
 
 Full Time role
 
 
 4 days onsite / 1 day remote in their Park Avenue, New York offices
 
 
 
 Salary:
 
 $95&ndash;100K base / 10&ndash;15% bonus
 
 
 
 Level
 
 : Analyst, Data Science &amp; Analytics
 
 
 
 
 
 
 This role Reports to
 
 :
 
 
 MD, DSA
 
 
 &amp;
 
 
 Executive Director, AI &amp; 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 organisation
 
 
 
 
 
 seeking Data Science &amp; 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 &amp; 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&rsquo;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 &amp; 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 problems
 
 <ul>
 <li>
 Build, test, and refine models and analytical assets using structured and unstructured data
 </li>
 <li>
 Translate data into clear findings, recommendations, and decision support
 </li>
 <li>
 Contribute to internal AI and analytics capabilities that can scale across teams
 </li>
 </ul>
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 Quantitative Analysis &amp; Modeling
 
 
 <ul>
 <li>
 Perform rigorous statistical analysis, exploratory data analysis, feature engineering, and model development across a range of client-facing and internal use cases
 </li>
 <li>
 Build and refine predictive, classification, segmentation, NLP, and other analytical models using structured and unstructured datasets
 </li>
 <li>
 Evaluate model performance, document assumptions, and support model validation and testing
 </li>
 <li>
 Use Python, SQL, and related tools to extract, clean, transform, and analyze data efficiently and accurately
 </li>
 <li>
 Develop repeatable analytical approaches and reusable code that improve quality, speed, and consistency
 </li>
 </ul>
 
 
 Client Delivery Support
 
 
 <ul>
 <li>
 Support senior team members in delivering analytical workstreams tied to client mandates, strategic analyses, and business development initiatives
 </li>
 <li>
 Help frame business questions into analytical hypotheses, required data inputs, and model approaches
 </li>
 <li>
 Prepare analyses, visualizations, and outputs that can be translated into clear client-ready materials
 </li>
 <li>
 Work with bankers and internal stakeholders to refine requirements, validate findings, and improve usability of outputs
 </li>
 <li>
 Contribute to high-priority, time-sensitive analyses in support of live deal, strategic, and sector work
 </li>
 </ul>
 
 
 AI &amp; Internal Platform Contribution
 
 
 <ul>
 <li>
 Contribute to the development of internal AI and analytics assets, including reusable workflows, data pipelines, prompts, evaluation approaches, and model-enabled tools
 </li>
 <li>
 Support the testing and refinement of AI-enabled workflows tied to knowledge retrieval, summarization, classification, and productivity enhancement
 </li>
 <li>
 Help identify opportunities to reuse client-facing analytical patterns within the firm&rsquo;s internal AI build
 </li>
 <li>
 Partner with engineering and business teams to move analytical solutions from prototype to practical usage
 </li>
 </ul>
 
 
 Measurement, Governance, and Controls
 
 
 <ul>
 <li>
 Document methodologies, data sources, model logic, and outputs in a clear and auditable manner
 </li>
 <li>
 Support adherence to internal standards related to model governance, data quality, explainability, and information security
 </li>
 <li>
 Assist in defining success metrics for analytical solutions, including accuracy, time saved, quality lift, and business impact
 </li>
 <li>
 Help maintain disciplined testing, issue tracking, and version control across analytical work
 </li>
 </ul>
 
 
 
 
 
 Ways of Working
 
 
 <ul>
 <li>
 Operate with strong attention to detail, sound judgment, and a high bar for analytical quality
 </li>
 <li>
 Collaborate effectively across data science, business analysis, technology, and business stakeholders
 </li>
 <li>
 Learn quickly, absorb context fast, and contribute across multiple workstreams at once
 </li>
 <li>
 Stay current on emerging techniques in machine learning, analytics, and AI relevant to financial services
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree required, preferably in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Finance, or a related quantitative field
 </li>
 <li>
 Master&rsquo;s degree is a plus, but not required
 </li>
 </ul>
 
 
 Experience
 
 
 <ul>
 <li>
 2 years of experience in data science, analytics, quantitative consulting, financial services,
 </li>
 <li>
 experience in investment banking, financial services, consulting, or a similarly demanding environment is preferred
 </li>
 <li>
 Experience supporting client-facing analytical work is a plus
 </li>
 </ul>
 
 
 Core Skills
 
 
 <ul>
 <li>
 Strong quantitative, statistical, and problem-solving capabilities
 </li>
 <li>
 Ability to structure ambiguous questions into analytical workplans
 </li>
 <li>
 Strong written and verbal communication skills, including the ability to explain technical findings to non-technical audiences
 </li>
 <li>
 High attention to detail and ability to deliver under tight timelines
 </li>
 </ul>
 
 
 AI, Data, and Technical Skills
 
 required
 
 <ul>
 <li>
 Experience with Python and SQL
 </li>
 <li>
 Strong statistical analysis skills
 </li>
 <li>
 Familiarity with common data science libraries and workflows for analysis, modeling, and visualization
 </li>
 <li>
 Exposure to machine learning (ML) techniques such as regression, classification, clustering, time series, optimization, or NLP
 </li>
 <li>
 Familiarity with working across structured and unstructured datasets
 </li>
 <li>
 
 
 comfortable operating in a fast-paced, high-expectation environment
 </li>
 <li>
 Interested in applying quantitative methods to real commercial and client outcomes
 </li>
 </ul>
 
 
 
 
 Preffered skills:
 
 <ul>
 <li>
 Exposure to LLMs, prompt design, retrieval workflows, or AI tooling is a plus
 </li>
 <li>
 Familiarity with Power BI, Tableau, or similar visualization tools is a plus
 </li>
 <li>
 Familiarity with Git, notebook-based development, and sound coding/documentation practices is preferred
 </li>
 </ul>
 
 
 
 
 PS
 
 
 must currently reside in the NY metro area
 
 
 must have a valid Work Permit for the Permanent employement
 
 
 
</div>

Data Science (Python) Quant Analyst

Inherent Technologies

<div>
 
 Job Description
 
 
 
 Seeking a
 
 hands-on AI Engineer/Developer
 
 to rapidly prototype and deliver AI-driven solutions across investment, research, and trading functions. This role is ideal for someone who can bridge
 
 financial domain knowledge with applied AI/ML development
 
 , building proof-of-concepts that can evolve into production-grade tools supporting investment decision-making.
 
 
 
 Key Responsibilities
 
 
 
 Design and develop
 
 AI/ML prototypes
 
 using Python to support investment research, portfolio analytics, and trading insights
 
 
 Build and test
 
 LLM-based and data-driven use cases
 
 (e.g., research summarization, signal generation, document analysis, automation)
 
 
 Work closely with
 
 investment professionals, research teams, and data engineers
 
 to translate business needs into functional AI solutions
 
 
 Develop and integrate
 
 data pipelines, APIs, and analytical models
 
 to support rapid experimentation
 
 
 Leverage tools such as
 
 Jupyter, Pandas, NumPy, LangChain, and cloud AI services (AWS/Azure/OpenAI)
 
 
 
 Perform
 
 data exploration, feature engineering, and model validation
 
 on financial datasets
 
 
 Iterate quickly on prototypes, incorporating feedback to refine models and outputs
 
 
 Ensure solutions consider
 
 data security, governance, and compliance
 
 within a financial services environment
 
 
 
 Required Qualifications
 
 
 
 10+ years of experience in
 
 Python development
 
 with strong hands-on coding ability
 
 
 Experience building
 
 AI/ML or LLM-based applications and prototypes
 
 
 
 Exposure to
 
 financial services, asset management, trading, or investment research
 
 
 
 Strong experience with
 
 data analysis libraries
 
 (Pandas, NumPy) and working with structured/unstructured data
 
 
 Familiarity with
 
 APIs, microservices, and cloud platforms (AWS, Azure, or GCP)
 
 
 
 Ability to work in a
 
 fast-paced, iterative environment
 
 with direct interaction with business stakeholders
 
 
 
 Preferred Qualifications
 
 
 
 Experience with
 
 LLM frameworks
 
 (LangChain, RAG architectures, vector databases)
 
 
 Knowledge of
 
 financial data sets, market data, or portfolio analytics
 
 
 
 Experience prototyping tools for
 
 quant research, credit analysis, or trading workflows
 
 
 
 Familiarity with
 
 Snowflake, Databricks, or modern data platforms
 
 
 
 
 What Success Looks Like
 
 
 
 Rapid delivery of
 
 high-impact AI prototypes
 
 that demonstrate clear business value
 
 
 Strong collaboration with front-office teams to
 
 solve real investment and research problems
 
 
 
 Ability to evolve prototypes into scalable solutions in partnership with engineering teams
</div>

Python Developer/AI Engineer

Spendid Farms

Job Title: Data Analyst Company: Splendid Farms Location: New York, New York, United States Employment Type: FULL_TIME About Splendid Farms Splendid Farms is a reliable leader in the agri-food industry, delivering value through a comprehensive range of services including export, marketing, packaging, logistics, agricultural production, and the distribution of agricultural inputs. We are committed to excellence and innovation, and we are looking for a talented individual to join our team. Job Overview We are seeking a meticulous and insightful Data Analyst to join our dynamic team. The ideal candidate will be passionate about data and its ability to drive business decisions. In this role, you will be responsible for analysing complex datasets to derive actionable insights that will influence strategy across our core operations, from agricultural production to global logistics. You will work closely with various departments to help them understand data, identify trends, and make better-informed decisions. Responsibilities * Collect and interpret data from diverse sources, including production metrics, supply chain logs, and market trends. * Analyse results using statistical techniques and provide clear, comprehensive reports and dashboards. * Develop and implement databases, data collection systems, and data analytics strategies that optimise statistical efficiency and quality. * Identify, analyse, and interpret trends or patterns in complex data sets to provide valuable business insights. * Create compelling data visualisations and presentations to communicate findings to stakeholders at all levels of the organisation. * Collaborate with management and departmental heads to prioritise business and information needs. * Contribute to the optimisation of logistics, marketing, and distribution processes through data-driven recommendations. Qualifications * Proven experience as a Data Analyst or in a similar analytical role. * Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with exceptional attention to detail and accuracy. * Proficiency in SQL and experience with data visualisation tools such as Tableau or Power BI. * Excellent knowledge of statistical packages (e.g., Excel) and/or programming languages (e.g., Python, R). * A degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or a related field. * Superb communication and presentation skills, with the ability to convey complex findings in a clear and concise manner. * Experience within the agriculture, food production, or supply chain industry is highly desirable. Benefits * A competitive salary and benefits package. * Opportunities for professional development and continuous learning. * A collaborative and supportive work environment. * Generous annual leave allowance. * Company pension scheme.

Data Analyst

Capula

<div>The Firm
Capula Investment Management is a leading global quantitative hedge fund managing over $30 billion in assets, specializing in fixed income, macro, and multi-asset strategies. We operate across multiple geographies with a strong commitment to risk management and quantitative excellence.
The Role
We are seeking a Market Risk professional to join our dynamic risk team. In this role, you will be responsible for monitoring and analyzing market risks across the firm&rsquo;s portfolios, ensuring robust measurement and management of risk exposures. You will work closely with traders, portfolio managers, and quantitative researchers to support risk reporting, stress testing, and risk mitigation initiatives.
Key Responsibilities<ul><li>
Perform daily market risk analysis and P&amp;L attribution across multiple asset classes including fixed income, equities, and derivatives.</li><li>
Develop and maintain risk models, tools, and dashboards to enhance risk visibility and decision-making.</li><li>
Conduct stress testing, scenario analysis, and back-testing to assess portfolio risk under various market conditions.</li><li>
Collaborate with trading, quant, and IT teams to improve risk systems and data quality.</li><li>
Support regulatory and internal risk reporting requirements.</li></ul>
What We Offer
An opportunity to work in a fast-paced, intellectually stimulating environment with exposure to global financial markets and cutting-edge risk management practices. You will be part of a collaborative and highly skilled team committed to excellence and innovation. 
Requirements 
<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative discipline such as Mathematics, Finance, Economics, Statistics, or Engineering.</li><li>
3+ years experience in market risk management, preferably in a hedge fund or investment management environment.</li><li>
Strong analytical and quantitative skills with experience in risk modeling and statistical analysis.</li><li>
Proficiency in programming languages such as Python, SQL, or R for data analysis and risk system development.</li><li>
Knowledge of financial markets, instruments, and risk metrics including VaR, stress testing, and scenario analysis.</li><li>
Excellent communication and teamwork skills.</li><li>
Experience with risk management systems and cloud platforms (AWS, Linux) is a plus.</li></ul> 

Benefits 
Capula is committed to supporting all employees in developing their careers and delivering their best work. We offer a collaborative and high-performance environment where portfolio managers are empowered with resources, autonomy, and the opportunity to make a significant impact. Benefits include:<ul><li>
A highly competitive base salary and discretionary bonus structure, reviewed annually (USD 180,000-260,000 TC)</li><li>
20 days of paid annual leave, plus public holidays
</li><li>Comprehensive medical and dental insurance, along with other core employee benefits
</li><li>Exceptional training, mentoring, and staff development opportunities to support continuous professional growth
</li><li>Exposure to a flat and agile organisational structure, enabling greater ownership and decision-making responsibility
</li><li>Onsite breakfast, lunch, and dinner provided daily in our employee restaurant
</li><li>Access to a dynamic, intellectually engaging team with cross-asset collaboration and open communication</li></ul></div>

Market Risk Associate

VIZIO

<div>
 Position Summary...As a Data Analyst II, you will leverage advanced analytical techniques and business knowledge to support data-driven decision-making across multiple domains. This role involves identifying relevant data sources, ensuring data quality, and applying statistical methods to generate actionable insights for VIZIO's Inscape clients. You will collaborate with stakeholders to develop visualizations and reports that effectively communicate findings, while supporting process improvements and project delivery. The position requires proficiency in data management, exploratory analysis, and clear communication to influence business outcomes and drive continuous improvement within a complex organizational environment.
 
 
 About the team:
 
 
 The team delivers VIZIO&rsquo;s Inscape TV data solutions to publishers, agencies, and brands by collaborating across functions with a foundation of respect, integrity, and accountability. Focused on continuous improvement, members utilize data insights and innovative approaches to enhance results. Leadership supports talent development through coaching and constructive feedback, fostering resilience and a growth mindset. Committed to exceptional customer experiences, the team upholds high ethical standards and operates in a results-driven environment aligned with Walmart&rsquo;s core values and strategic goals.
 
 
 What you'll do...
 
 
 <ul>
 <li>
 Analyze complex data sets to identify trends, patterns, and insights that support business decision-making across multiple domains.
 </li>
 <li>
 Develop and maintain data models, dashboards, and visualizations using advanced tools to communicate findings effectively.
 </li>
 <li>
 Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
 </li>
 <li>
 Support data quality management by profiling, cleansing, and validating data to ensure accuracy and reliability.
 </li>
 <li>
 Assist in the identification and sourcing of relevant data to address business challenges and improve processes.
 </li>
 <li>
 Present analytical results clearly to stakeholders, adapting communication to different audiences.
 
 
 </li>
 </ul>
 What you'll bring:
 
 
 <ul>
 <li>
 Proficiency in big data analytics and statistical techniques to support business problem-solving and decision-making.
 </li>
 <li>
 Experience with data visualization tools such as Python libraries, Tableau, or PowerBI to create clear and impactful graphical representations.
 </li>
 <li>
 Strong knowledge of database technologies including SQL and NoSQL for effective data sourcing and management.
 </li>
 <li>
 Ability to analyze data quality, perform data cleansing, and support data governance practices.
 </li>
 <li>
 Effective communication skills to present insights and influence stakeholders across multiple business domains.
 </li>
 <li>
 Familiarity with exploratory data analysis and relevant scripting languages to identify trends and correlations.
 
 
 </li>
 </ul>
 At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
 
 
 You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
 
 
 For information about PTO, see https://one.walmart.com/notices.
 
 
 Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
 
 
 Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
 
 
 
 For Information About Benefits And Eligibility, See One.Walmart.
 
 
 
 The annual salary range for this position is $84,000.00 - $156,000.00
 
 
 
 Additional Compensation Includes Annual Or Quarterly Performance Bonuses.
 
 
 
 Additional compensation for certain positions may also include :
 
 
 <ul>
 <li>
 Stock
 
 
 </li>
 </ul>
 ㅤ
 
 
 ㅤ
 
 
 ㅤ
 
 
 ㅤ
 
 
 &lrm;
 
 
 
 Minimum Qualifications...
 
 
 
 
 
 Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
 
 
 
 
 Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field Option 2: 2 years' experience in data analysis, data science, statistics, or related field.
 
 
 
 Preferred Qualifications...
 
 
 
 
 
 Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
 
 
 
 
 Data science, data analysis, statistics, or related field, Master&rsquo;s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau)
 
 
 Primary Location...
 
 
 350 5TH AVE, STE 4800 NEW YORK, NY 10118-4801, United States of America
 
 
 Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.
</div>

(USA) Data Analyst II

Forge Global

<div><div>At Forge, we know our team is our greatest asset. As technology innovators in the private market, our vision is to deliver a richer future for everyone. We live that vision through our values of being bold, accountable, and humble. We experience the value that our vision brings to the world every day, helping the teams behind the greatest innovations of our generation, from space travel to artificial intelligence, and more.

With liquidity solutions, exclusive data and insights, a custody offering, and a vibrant marketplace, Forge&rsquo;s goal is to build the best-in-class technology infrastructure to power a global private market that is transparent, accessible, and seamless for companies, their employees, and investors. Through Forge, employees can sell their private shares, employers can reward shareholders with pre-IPO liquidity and individual and institutional investors can participate in private unicorn growth.

Forge's differentiated global marketplace addresses rising demand among individual and institutional investors for exposure to private company stocks and is building a growing network effect.

Our ability to offer these powerful financial solutions has generated incredible interest from investors, demand from customers, and a need to grow our team to meet the needs of more companies, teams, and innovators in this way.</div><div>

The Role:
We are looking to hire a Senior Data Analyst to join our Analytics team. In this role, you will partner with stakeholders across Product, Marketing, Finance, and Senior Leadership to deliver data-driven insights that influence strategy and decision-making across Forge. You will design and execute experiments, build new datasets, automate reporting, develop predictive analytics and attribution models &mdash; ultimately shaping how we measure, understand, and grow our marketplace. This is a high-impact individual contributor role, ideal for someone who thrives at the intersection of analytics, product strategy, and organizational impact.

Responsibilities:
<ul>
<li>Shape business strategy by using SQL, Python, and other analytics tools to analyze data, highlight opportunities, and provide insights that directly inform product and company direction.</li>
<li>Develop predictive models and forecasting tools using Python to support growth, product efficiency, and marketplace strategy leveraging internal user data and external GTM data sources.</li>
<li>Build decision-making tools by designing, maintaining, and automating datasets, dashboards, and reporting infrastructure in Snowflake, Segment, Looker, and Heap to deliver clear insights that support long-term growth strategies.</li>
<li>Automate recurring reporting and analytics processes using Python.</li>
<li>Communicate findings through clear narratives, visualizations, and presentations to senior stakeholders.</li>
<li>Improve our data infrastructure by identifying opportunities to enhance data quality, consistency, and documentation, enabling scalable, accurate, and reliable analytics across Forge.</li>
<li>Design and analyze A/B tests and other experiments in Launch Darkly to guide product development and measure impact.</li>
</ul>
Qualifications:
<ul>
<li>4+ years of experience in analytics, product analytics, data science or a related field.</li>
<li>Expert-level SQL (advanced queries, optimization, and performance tuning).</li>
<li>Proficient in Python (2+ years) for data analysis, automation, visualization, and forecasting/modeling.</li>
<li>Hands-on experience with BI and data visualization tools, ideally Looker or Tableau, and data warehouses such as Snowflake.</li>
<li>Strong foundation in experimental design and A/B testing methodology, preferably with experience in Launch Darkly and Heap.</li>
<li>Demonstrated ability to develop predictive models and apply statistical analysis in a business context.</li>
<li>Excellent analytical and problem-solving skills, with the ability to structure ambiguous problems and translate business questions into technical analyses.</li>
<li>Strong communication and storytelling skills &mdash; able to present complex insights in a clear, actionable way to both technical and non-technical audiences.</li>
<li>Track record of working cross-functionally and managing multiple stakeholders and priorities.</li>
<li>Undergraduate degree in finance, economics, statistics, mathematics, engineering or related field.</li>
<li>Physical requirements: operate a computer for 8 hours per day; give and receive detailed information through verbal and written communication</li>
</ul>
For residents of New York, New York the annual salary range for this role is $98,000 - $100,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors</div><div>

Upon offer, we conduct background checks that include employment and education verification, state, and county criminal history searches as well as fingerprint and drug test.

Forge is proud to be an equal opportunity employer committed to supporting a diverse and inclusive workplace. Our employment decisions are made without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, veteran status, or any other characteristic protected by federal, state, or local laws.</div></div>

Senior Data Analyst

Argo Group

<div>Company
Shared Services
Argo and Farm Family are specialty property and casualty insurance brands whose underwriting companies are wholly-owned subsidaries of Clearbrook Holdings Inc. Argo and Farm Family partner with agents and brokers to provide insurance solutions that enable businesses to manage risks with confidence. 
 
Job Description
Summary:
The Sr Data Analyst partners with stakeholders across P&amp;C Operations (Underwriting, Product, Actuarial, Claims, and Marketing) to deliver advanced analytical insights that inform business strategy and operational decision-making.
This role&rsquo;s responsibility includes performing data analysis (e.g., conceptualization, mining/modeling, and presentation of data) and developing methods to efficiently capture, manage, and analyze data.
The position serves as a trusted partner to business leaders by translating complex data into clear, actionable insights and identifying opportunities to improve processes and outcomes.
This is a 100% in-office position. Candidates must be able to work on-site at a designated company office during standard business hours. 
 
Essential Responsibilities:
<ul><li>Partners with stakeholders to define business problems, translate data needs into analytical solutions, and ensure alignment between business objectives and data outputs.
</li><li>Develops and maintains methods to distribute management information, as appropriate, throughout P&amp;C Operations using tools, standards, and platforms in use at the time with minimal guidance.
<ul><li>Designs, develops, and maintains dashboards (Power BI), reports, and data products for use throughout P&amp;C Operations using the tools, standards, and platforms in use at the time with minimal guidance.
</li><li>Develops and optimizes SQL queries, Python/PySpark scripts, and data pipelines to extract, transform, and validate data for analysis and reporting.
</li></ul></li><li>Independently leads analytics initiatives, managing priorities, timelines, and deliverables from intake through deployment.
</li><li>Responds to support questions promptly, courteously, and accurately, with an analysis of the results and any issues or changes made with minimal guidance.
</li><li>Synthesizes analytical findings into clear insights and recommendations, tailoring communication for both technical and non-technical audiences.
</li><li>Ensure enterprise reporting and analytics adhere to defined data governance standards, business rules, and data quality expectations.
</li><li>Validates data accuracy and completeness across source systems and downstream reporting layers, identifying trends, anomalies, and data quality issues. Performs quality assurance checks to validate completeness and accuracy of data and/or deliverables for release with minimal guidance.
</li><li>Supports recurring operational data needs (e.g., month‑end, quarter‑end, and ongoing production reporting cycles) by ensuring timely, accurate delivery of analytics and reports.
</li><li>Identifies trends, patterns, and opportunities within data to support process improvements and strategic initiatives.
</li></ul>Additional Responsibilities:
<ul><li>Document, update, and utilize the policies, procedures, and processes used throughout P&amp;C Operations.
</li><li>Mentor junior analysts by reviewing policies, procedures, and processes and validating the queries/code, reports, and dashboards for accuracy and quality.
</li><li>Proactively identify opportunities with the appropriate stakeholders to remedy the errors timely with minimal guidance.
</li><li>Ensures that the data produced remains secure, respecting corporate privacy and security procedures.
</li><li>Assists with training for stakeholders in areas such as proper data usage, SQL, or Power BI.
</li><li>Collaborate with data engineering and platform teams to ensure alignment between analytics solutions and enterprise data platforms (e.g., cloud data warehouses, semantic models, and BI environments). 
</li></ul> 
Qualifications / Experience Required:
<ul><li>Four to six years of relevant work experience
</li><li>Bachelor&rsquo;s degree in mathematics, computer science, data science, data analytics, or a related field. Equivalent work experience in a business or technical environment will be considered in lieu of a bachelor&rsquo;s degree.
</li><li>Proficient in Python/PySpark, SQL (CTE, window functions) and Power BI using graphs, charts, and map features.
</li><li>Experience in data quality control/governance, data mining, and modeling
</li><li>Working knowledge of emerging analytics technology (e.g., Agentic AI/ML concepts)
</li><li>Strong soft skills with clear, effective oral and written communication.
</li></ul>Preferred Qualifications:
<ul><li>Experience in Microsoft Fabric, Snowflake Ecosystem, and Visual Studio Code
</li><li>Strong understanding of Property &amp; Casualty insurance data concepts and operational workflows is preferred.
</li></ul>The base salary range provided below is for hires in those geographic areas only and will be commensurate with candidate experience. Pay ranges for candidates in other locations may differ based on the cost of labor in that location. 
 
Omaha &amp; Albany Pay Range $95,000 - $115,000
Chicago Pay Range $103,000 - $133,000
NYC Pay Range $113,000 - $143,000
<div>PLEASE NOTE:
Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas.
If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at 210-321-8400.
Notice to Recruitment Agencies:
 
Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and / or its affiliates will not be responsible for any fees associated with unsolicited submissions.
We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics.
The collection of your personal information is subject to our HR Privacy Notice
Benefits and Compensation
We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program&mdash;including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.</div></div>

Sr Data Analyst

Explore 205+ Data science python quant analyst in New York this June. Find roles across top companies and apply now to boost your career.