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senior data analyst

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

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

Data Engineer, Product Analytics (University Grad)

Algomarketing

<div><h3 class="jobSectionHeader">Description</h3><div> 

JOB TITLE Marketing Data Operations Analyst</div><div></div><div> 

LOCATION US, East Coast</div><div></div><div> 

CONTRACT 6-month contract, with extension opportunities</div><div> 
</div><div>ABOUT ALGOMARKETING</div><div>
&mdash;</div><div>
Algomarketing are experts at delivering programs and resourcing for strategic roles within Marketing teams. We are a global team of Marketing experts, spanning 30 countries across Asia Pacific, the Americas, Africa, and Europe. Highly experienced in enterprise B2B Marketing, and specialized in technology and SaaS.</div><div></div><div> 
Our team works collaboratively, with experience from the world's largest and most ambitious brands, including Google, Stripe, Workday, Worldpay, Accenture, ACI Worldwide, GSK, and Allianz.</div><div></div><div> 
We empower Marketers through Algorithmic Marketing, a data-driven approach that delivers deeper insights, faster execution, and streamlined operations.</div><div></div><div> 
Visit our website to read more about us.</div><div></div><div> 
ABOUT THE ROLE</div><div>
&mdash;</div><div>
The Marketing Data Operations Team covers the management and maintenance of the infrastructure that provides the Marketing Database for the organization. This also involves the processes and procedures used to collect, ingest, process, store, analyse and distribute data effectively and efficiently for Enterprise Marketing.</div><div></div><div> 
Reporting into the Senior Manager, Marketing Data Operations, the role of the Marketing Data Operations Analyst leverages data to drive effective marketing campaigns through segmentation, audience creation and database management. The Marketing Data Operations Analyst plays a critical role in collaborating with marketing teams to understand priorities and ensures alignment between data strategies and regional objectives. This role manages and enhances the marketing database's integrity, develops targeted audience segments, and creates innovative segmentation strategies for email campaigns.</div><div>
&mdash;</div><ul>
<li>Apply best practices to uphold high standards of data quality, facilitating precise audience segmentation, reporting and analysis.</li>
<li>Leading the continuous efforts to look for ways to improve data quality within the database to maximise marketable audiences and database utilisation.</li>
<li>Create, manage and develop audiences and segmentation models for improved audience targeting.</li>
<li>Gathering marketer requirements to build effective audience lists for marketing campaigns.</li>
<li>Leading the charge to proactively create and maintain communication with the marketing team to define audience criteria, ensuring alignment with regional priorities and effective segmentation.</li>
<li>Drive collaboration with marketers to create and test new audience segments, presenting ideas and solutions to enhance database performance and drive engagement.</li>
<li>Provide ongoing sessions with the marketing team to help improve understanding and best utilisation of Zooms marketing database.</li>
<li>Owning the responsibility to ensure compliance with privacy laws (e.g. GDPR) and internal opt-in requirements for both new data and data stored in the database.</li>
<li>Collaborating with the Data Operations Team, as well as our wider Marketing Ops and cross-functional IT and Data Teams to ensure that the marketing database in our Data Warehouse platform remains up-to-date and aligned with organizational needs.</li>
<li>Support in the processing and management of incoming lead data, ensuring the accurate classification of data.</li></ul><div> 
</div><div>
&mdash;</div><ul>
<li>Ideally has a Bachelor's degree in a technology or computer science-related subject.</li>
<li>5+ years of related experience working with large-scale databases that focus on both B2C/B2B data.</li>
<li>Very strong knowledge of marketing data, tools, and technologies, including CRM systems, CDP/SCV, marketing automation platforms, data warehouses, and dashboard/reporting tools.</li>
<li>Very strong expertise in data analysis, reporting, and strong proficiency in SQL or equivalent.</li>
<li>Very strong attention to detail and analytical mindset, with an ability to turn data into actionable insights.</li>
<li>Excellent communication skills to collaborate with cross-functional teams and key stakeholders, with an ability to explain complex technical concepts to non-technical stakeholders.</li>
<li>Problem-solving mindset with attention to detail, and can work independently and take initiative.</li></ul> 
<h3 class="jobSectionHeader">
Key Responsibilities</h3><div> 
&mdash;</div><ul>
<li>Apply best practices to uphold high standards of data quality, facilitating precise audience segmentation, reporting and analysis.</li>
<li>Leading the continuous efforts to look for ways to improve data quality within the database to maximise marketable audiences and database utilisation.</li>
<li>Create, manage and develop audiences and segmentation models for improved audience targeting.</li>
<li>Gathering marketer requirements to build effective audience lists for marketing campaigns.</li>
<li>Leading the charge to proactively create and maintain communication with the marketing team to define audience criteria, ensuring alignment with regional priorities and effective segmentation.</li>
<li>Drive collaboration with marketers to create and test new audience segments, presenting ideas and solutions to enhance database performance and drive engagement.</li>
<li>Provide ongoing sessions with the marketing team to help improve understanding and best utilisation of Zooms marketing database.</li>
<li>Owning the responsibility to ensure compliance with privacy laws (e.g. GDPR) and internal opt-in requirements for both new data and data stored in the database.</li>
<li>Collaborating with the Data Operations Team, as well as our wider Marketing Ops and cross-functional IT and Data Teams to ensure that the marketing database in our Data Warehouse platform remains up-to-date and aligned with organizational needs.</li>
<li>Support in the processing and management of incoming lead data, ensuring the accurate classification of data.</li></ul><div></div><h3 class="jobSectionHeader"> 
About Algomarketing&reg;</h3><div>
At Algomarketing, we revolutionize industry standards by propelling world-leading brands to new heights with rapid insights, accelerated executions, and seamless operations. Our team leverages cutting-edge technologies like machine learning, natural language processing, and robotic process automation to transform marketing and sales landscapes. 
</div><div>We are a global marketing &amp; sales operations and technology consultancy with a presence in 27 countries across 6 continents. Our diverse team of 100+ marketing and MarTech experts collaborates to deliver impactful, data-driven solutions. 
</div><div>Join us to be part of an innovative, dynamic environment where your skills will help drive the future of marketing. Experience professional growth and make a global impact with Algomarketing.</div><div>
 
Learn more about our services through our customer success stories, where we've brought the concept of Algorithmic Marketing to life. Visit our website to read more.</div></div>

Marketing Data Operations Analyst- US, East Coast

Crédit Agricole CIB

<div>
 
 
 Team and position
 
 
 
 
 
 
 Credit Agricole is among world top 10 banking groups. Our NY based Leveraged Finance team is directly responsible for origination and execution of LBOs with leading Private Equity Funds in North America, as well as financings for leveraged (non-investment grade) corporates, across loans and HY bonds. In addition, the team is also in charge of event driven financings (M&amp;A and IPO related) for Investment Grade clients, and of leveraged / structured financing transactions in the TMT sector, including the current wave of infrastructure flavored deals (towercos, data centers, fibercos, GPU Financings) with Infrastructure Funds, across North America and Latam. It is referred to internally as the &ldquo;LATFG&rdquo; team (Leveraged, Acquisition &amp; TMT Finance).
 
 
 
 
 
 Building on its recent successes, the team is expanding to support its strong growth ambitions. In order to address the increasing volumes of credit and reporting management work generated by our expanding loan portfolio, we are setting up a portfolio management (PFM) team.
 
 
 We are opening a Portfolio Management analyst position. The analyst will report to the Director in charge of Portfolio Management, with regular interaction with the origination part of LATFG team.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 1) Credit monitoring of our loan portfolio:
 
 
 Contribute to the ongoing credit monitoring work for part of the leveraged finance and TMT loan portfolio (current volume of about 75 deals): write up of annual reviews, credit papers in relation to
 
 
 waivers and amendments, quarterly write ups for distressed loans. In close coordination with
 
 
 respective deal/client teams.
 
 <ul>
 <li>
 Proactively flag to client teams any early warning signals of credit deterioration, concerns, or ideas for commercial opportunities
 </li>
 <li>
 Ensure timely propagation of internal risk rating decisions within the internal IT systems.
 </li>
 <li>
 Occasionally represent the team in the various credit committees (NY credit committee, CLF credit committee, CRC) and monitoring committees (Quarterly committees for underperforming loans or loans under watchlist &ldquo;SARs&rdquo; and &ldquo;SACs&rdquo;), underperforming or under watch loans
 </li>
 <li>
 Coordinate with CLF Loan Operations team to monitor evolution of the portfolio (increases or reductions via amortization, prepayments, secondary trades etc)
 </li>
 <li>
 Coordinate with CLF Loan Operations and respective deal/client teams to ensure authorizations recorded in internal systems are accurate and up to date.
 </li>
 <li>
 Maintain close coordination on all of the above tasks with respective LATFG client teams. Interact with clients whenever necessary to clarify credit related questions, in coordination with the LATFG client team.
 </li>
 <li>
 Review quarterly or annual information provided by client, connect to lender or investor calls organized by clients and relay summaries of meaningful information to LATFG team manager and respective LATFG client team.
 </li>
 <li>
 Depending on deal flow, there will also be occasional opportunities to get involved in live, new deals as part of the origination deal team.
 </li>
 </ul>
 
 
 
 
 2) Contribute to Internal and Regulatory Reporting:
 
 <ul>
 <li>
 Collect data and under PFM Director, assist with the regular requests for reporting from our
 </li>
 </ul>
 
 internal stakeholders (HO business line, COO teams, RPC): monthly anomaly reports, monthly
 
 
 LevFin excel pipeline, quarterly portfolio review files, &ldquo;deals world&rdquo; database for LBOs, etc
 
 <ul>
 <li>
 Contribute to recurring, ad hoc, and annual audits (NY annual and quarterly Compliance Loan Review, ad hoc NY portfolio reviews, Internal Audit &ldquo;Inspection Generale&rdquo;, add hoc CUSO reviews)
 </li>
 <li>
 Assist team manager and respective deal teams in ensuring that the CLF pipeline tool (&ldquo;Diamond&rdquo;) is up to date.
 </li>
 <li>
 Contribute to occasional ad hoc information requests when and as required
 </li>
 <li>
 Assist LATFG manager with periodic estimate of landing vs budget and other planning tasks
 </li>
 </ul>
 
 
 
 
 
 Candidate background / experience
 
 
 <ul>
 <li>
 Ideally 1-2 years experience in either a leveraged finance environment (portfolio management, credit analyst or origination and execution), or a credit risk / credit underwriting and monitoring function.
 </li>
 <li>
 Relevant academic background (BA/BS degree with economics/finance major coursework, ideally Master's degree &ndash; Msc Finance or MBA).
 </li>
 </ul>
 
 
 
 
 
 Skills
 
 
 <ul>
 <li>
 Strong quantitative and qualitative analytical skills
 </li>
 <li>
 Prior experience in financial analysis, cash flow modeling experience will be a plus
 </li>
 <li>
 Reliability, attention to detail and quality outputs,
 </li>
 <li>
 Good organizational skills: ability to keep track of deadlines, to organize its own work
 </li>
 <li>
 Good communication and interpersonal skills (ability to communicate seamlessly with various front office deal teams, and capacity to interact convincingly and forcefully with internal partners, in particular with risk &amp; senior representatives from business line or coverage)
 </li>
 <li>
 MS Office suite proficiency
 </li>
 <li>
 Fluency in a second language (in particular French, Portuguese, Spanish) is a plus.
 </li>
 </ul>
 
 
</div>

Leveraged, Acquisition & TMT Finance Americas – Portfolio Management - Analyst

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

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