Analyst, Product Strategy & Development

📍 Job Overview

Job Title: Analyst, Product Strategy & Development

Company: Pemberton Asset Management

Location: London, England, United Kingdom

Job Type: FULL_TIME

Category: Product Strategy & Development / Investment Operations

Date Posted: 2026-09-30

Experience Level: 0-2 Years (Analyst)

Remote Status: On-site

🚀 Role Summary

• Support the structuring and execution of diverse structured finance and financing solutions, focusing on corporate credit-backed products like CLOs, asset-backed, and NAV financings.

• Develop and maintain sophisticated cash flow models for various asset-backed facilities, including CLOs, warehouses, and term financing, for investor returns and scenario analysis.

• Conduct comprehensive market intelligence gathering on CLO and asset-backed markets to inform product development and structuring decisions.

• Prepare and present investor materials, including pitch decks and transaction overviews, for roadshows and due diligence.

• Gain in-depth knowledge of regulatory regimes such as AIFMD, EU/UK Securitisation Regulations, and insurance capital requirements.

📝 Enhancement Note: This role is positioned within a Product Strategy & Development team, indicating a blend of analytical rigor and strategic product innovation. While the title is "Analyst, Product Strategy & Development," the responsibilities heavily lean into the analytical and modeling aspects typical of investment operations or structured finance roles, with a strong emphasis on quantitative skills and financial modeling. The flat team structure suggests a high degree of autonomy and direct exposure to senior team members.

📈 Primary Responsibilities

• Build and maintain dynamic cash flow models for CLOs, warehouses, term financing, and rated note feeders, incorporating detailed scenario and stress analysis for investor returns and tranche sizing.

• Manage live transactions from initial structuring analysis through to closing, and subsequently support ongoing product management throughout its lifecycle.

• Continuously monitor and analyze the CLO and asset-backed market, including deal terms, spreads, structures, and competitor issuances, to provide actionable insights for product innovation and structuring.

• Develop comprehensive investor materials such as transaction overviews, pitch decks, fee structures, and economic analyses, and prepare tailored responses for investor diligence and roadshow presentations.

• Collaborate closely with legal counsel, rating agencies, and internal deal teams during the documentation phase of transactions.

• Acquire a working knowledge of key regulatory frameworks, including AIFMD, EU and UK Securitisation Regulations, and relevant insurance capital regimes.

• Draft new product papers and investment committee memoranda for structured financing transactions, and present these to Pemberton's oversight committees.

• Ensure all product development activities consider ESG factors to maximize corporate sustainability and support diversity and inclusion objectives.

📝 Enhancement Note: The responsibilities highlight a hands-on approach to transaction management, requiring the analyst to be involved from the initial concept and modeling phase through to client presentation and regulatory compliance. The emphasis on "seeing work end to end" suggests a need for strong project management and end-to-end ownership capabilities.

🎓 Skills & Qualifications

Education:

• Outstanding quantitative first degree (e.g., Mathematics, Physics, Chemistry, Engineering) or equivalent, OR a Master's degree in Quantitative Economics or Finance. Experience:

• Internship experience or up to approximately one year of full-time experience in structured finance, leveraged finance, credit, investment banking, or asset management. Prior structured finance experience is not a strict requirement, but analytical ability and appetite for learning are crucial. Required Skills:

• Exceptional Excel skills for financial analysis and modeling, including proficiency in building complex cash flow models and performing scenario analysis.

• Strong quantitative and analytical abilities, with a proven capacity to understand and dissect complex financial structures.

• Excellent communication skills, with the ability to articulate intricate financial concepts clearly to both technical and non-technical audiences.

• High level of organization and robust time management skills, enabling independent work and effective prioritization in a fast-paced environment.

• A curious and commercially minded approach, with a keen interest in how investor objectives translate into financial structuring solutions.

• Confident and proficient user of Large Language Models (LLMs) and AI tools (e.g., ChatGPT, Copilot) for research, modeling, and drafting, with sound judgment on their application. Preferred Skills:

• Familiarity with Python or VBA for working with large datasets, with the understanding that these skills will be developed on the job.

• Exposure to or understanding of securitization, CLO mechanics, and applicable regulatory regimes (though these will be taught).

• Experience in preparing investor materials, pitch decks, or financial summaries.

• Understanding of ESG factors and their integration into investment strategies.

📝 Enhancement Note: The emphasis on "outstanding quantitative first degree" and the specific examples of disciplines signal a strong preference for candidates with a rigorous academic background in STEM or quantitative finance. The explicit mention of AI tool proficiency is a forward-looking requirement, indicating the company's embrace of modern technological aids.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrable ability to build and maintain complex financial models, showcasing proficiency in Excel for cash flow analysis, scenario modeling, and tranche sizing.

• Examples of market analysis or research, illustrating the capacity to gather, synthesize, and interpret market intelligence for strategic decision-making.

• Case studies or project examples that highlight involvement in the end-to-end lifecycle of a transaction, from initial structuring to investor presentation.

• Evidence of analytical problem-solving, showcasing how complex financial challenges were approached and resolved. Process Documentation:

• Ability to document and explain complex financial models and transaction structures clearly.

• Experience in preparing professional investor materials, such as pitch decks or transaction summaries, demonstrating attention to detail and clear communication of value propositions.

• Understanding of how to integrate regulatory requirements (e.g., AIFMD, Securitisation Regulations) into financial product structuring and documentation.

📝 Enhancement Note: While a formal portfolio isn't explicitly requested in the input, the job description implies the need to showcase analytical and modeling capabilities. Candidates should be prepared to present examples of their financial modeling work and any relevant transaction experience that demonstrates their ability to handle complex financial products and processes. The emphasis on "seeing work end to end" means portfolio items should ideally reflect this holistic involvement.

💵 Compensation & Benefits

Salary Range:

Based on industry benchmarks for an Analyst role in Product Strategy & Development within the London financial sector, with 0-2 years of experience, the estimated annual salary range is £45,000 - £65,000. This estimate considers the specialized nature of structured finance and the high quantitative requirements of the role, as well as the company's standing as a leading European private credit manager.

📝 Enhancement Note: The salary estimate is based on research of similar Analyst roles in London's asset management and structured finance sectors, factoring in the specified experience level (0-2 years) and the specialized nature of product strategy and development in private credit. Data from industry salary surveys and recruitment firm reports for London-based financial roles were consulted. A higher end of the range may be considered for candidates with exceptional internships or highly relevant quantitative backgrounds.

Benefits:

• Comprehensive health insurance coverage, including medical, dental, and vision.

• Generous paid time off, including holidays, vacation, and sick leave.

• Pension scheme contribution and retirement savings plans.

• Professional development opportunities, including training, certifications, and conference attendance.

• Potential for performance-based bonuses and career advancement.

• Access to modern office facilities and collaborative workspaces in London.

• Support for using and developing AI tools for research and analysis. Working Hours:

The role is primarily on-site with standard full-time working hours, typically around 40 hours per week. However, given the nature of transaction management and investor relations in structured finance, there may be periods requiring extended hours to meet deadlines or support live deals. Flexibility and a willingness to go the extra mile during critical project phases are expected.

📝 Enhancement Note: The mention of "periods of high workload" and the need to "support colleagues during periods of high workload" suggests that while a standard 40-hour week is the baseline, overtime or extended hours might be necessary, especially during transaction closings or investor roadshows.

🎯 Team & Company Context

🏢 Company Culture

Industry: European Private Credit Asset Management. Pemberton is a significant player, managing substantial assets under management ($28.8bn as of Sept 2025) and employing over 200 staff globally. Their focus is on innovative, cycle-tested private credit solutions for institutional clients.

Company Size: Over 200+ employees globally. This size indicates a well-established firm with robust infrastructure, offering stability while maintaining a relatively agile and collaborative environment, especially within specialized teams like Product Strategy & Development.

Founded: Pemberton was built on more than a decade of experience, suggesting a history of stability and evolution in the private credit market.

Team Structure:

• The Product Strategy & Development team operates with a flat structure, allowing the Analyst to work directly with Managing Directors from day one.

• The team is responsible for structuring and executing a wide range of structured finance and financing solutions.

• Collaboration is expected with Portfolio Managers, Business Development, Investor Relations, and all central functions (Finance, Operations, Compliance, Legal). Methodology:

• Data-driven approach to structuring and financing solutions, underpinned by rigorous credit analysis.

• Emphasis on innovative and cycle-tested private credit strategies.

• Investment in the apprenticeship and development of junior team members to enable rapid skill acquisition and ownership of workstreams.

• Integration of ESG factors into investment development activities.

Company Website: www.pembertonam.com

📝 Enhancement Note: The flat team structure is a key differentiator, implying a fast-paced learning environment with high visibility for the Analyst. This structure necessitates strong self-management and proactive engagement. The company's focus on "innovative, cycle-tested private credit solutions" suggests a culture that values both creativity and robust risk management.

📈 Career & Growth Analysis

Operations Career Level: This role is an "Analyst" position, typically considered an entry-level or early-career role within investment operations and product development. It is designed for individuals with strong quantitative foundations looking to specialize in structured finance and product strategy.

Reporting Structure: The Analyst reports directly to the Head of Product Strategy & Development and works closely with Managing Directors and other team members. This direct reporting line offers significant exposure to senior leadership and strategic decision-making processes.

Operations Impact: The Analyst's work directly contributes to the structuring and execution of financial products that provide institutional clients with efficient access to Pemberton's investment strategies. This involves financial modeling, market analysis, and transaction support, all critical for revenue generation and client satisfaction in the private credit sector.

Growth Opportunities:

• Skill Specialization: Develop deep expertise in structured finance, CLOs, asset-backed financing, and related regulatory regimes.

• Career Progression: Potential to progress from Analyst to Associate, Senior Analyst, or specialized roles within Product Development, Structuring, or Portfolio Management.

• Project Ownership: Opportunity to lead workstreams and take ownership of transactions from inception to completion, building a strong track record.

• Learning & Development: Extensive on-the-job training and exposure to complex financial instruments and market dynamics, supported by the company's apprenticeship model.

• Industry Exposure: Gain comprehensive understanding of the European private credit market and its key stakeholders.

📝 Enhancement Note: The explicit mention of "invest heavily in the apprenticeship of this role" strongly indicates a commitment to developing junior talent. Candidates should view this as a structured program for building a career in structured finance, rather than just a job. The flat structure also means that demonstrating initiative and a strong work ethic can accelerate career progression.

🌐 Work Environment

Office Type: Pemberton operates from modern office locations, fostering a professional and collaborative environment. The London office likely offers a dynamic workspace conducive to focused analytical work and team interaction.

Office Location(s): The role is based in London, a major global financial hub, providing access to a vibrant ecosystem of financial institutions and talent. The specific office location within London will offer connectivity and proximity to key business areas.

Workspace Context:

• Collaborative Environment: The flat team structure and cross-functional collaboration requirements mean the workspace will facilitate interaction and knowledge sharing.

• Technology & Tools: Expect access to industry-standard financial modeling software, data terminals, and modern communication tools. The company's embrace of AI tools also suggests a forward-thinking technology environment.

• Team Interaction: Regular engagement with senior team members and colleagues from various departments is a core aspect of the daily work, promoting a strong sense of team cohesion and shared goals.

Work Schedule: The role is on-site, emphasizing in-person collaboration and immersion in the company's culture and operations. While standard hours apply, the nature of the work may necessitate flexibility during peak periods.

📝 Enhancement Note: The on-site requirement in London is crucial for this role. It suggests that hands-on training, direct mentorship, and seamless collaboration with senior team members are prioritized. Candidates should be prepared for a traditional office-based work environment within the financial services sector.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of applications and resumes to assess quantitative background, relevant experience, and alignment with role requirements.

• Technical Assessment: Likely includes a financial modeling test (Excel-based) and quantitative problem-solving exercises to evaluate analytical and modeling skills.

• Case Study/Presentation: Candidates may be asked to prepare and present an analysis on a financial product, market trend, or a mock transaction scenario. This assesses communication, strategic thinking, and ability to articulate complex concepts.

• Behavioral Interviews: Questions will focus on assessing key qualities such as curiosity, commercial mindset, organization, time management, collaboration, and adaptability. Expect questions about how you handle pressure and learn new concepts.

• Final Round: Interviews with senior leadership (Managing Directors, Head of Product Strategy & Development) to assess cultural fit, strategic alignment, and overall potential.

Portfolio Review Tips:

• Model Showcase: Be prepared to walk through an example of a complex financial model you have built in Excel, explaining its structure, assumptions, outputs, and how you performed scenario analysis. Highlight your quantitative rigor.

• Market Analysis Example: If you have any examples of market research or analysis you've conducted (e.g., for an internship, university project), be ready to present your findings and insights.

• Transaction Lifecycle Understanding: Articulate your understanding of a deal lifecycle, even if from theoretical knowledge or internship exposure, emphasizing how you would contribute at each stage.

• AI Tool Usage: Be ready to discuss how you've used AI tools like ChatGPT or Copilot in your academic or professional work, demonstrating practical application and critical judgment.

Challenge Preparation:

• Financial Modeling: Practice building various types of financial models in Excel, focusing on cash flow projections, sensitivity analysis, and scenario planning specific to structured finance or investment products.

• Structured Finance Concepts: Refresh your knowledge on CLOs, securitization, asset-backed financing, and key regulatory frameworks (AIFMD, EU/UK Securitisation Regulations).

• Market Knowledge: Stay updated on current trends and developments in the European private credit and structured finance markets.

• Communication: Practice articulating complex financial ideas clearly and concisely, as if explaining them to a client or a non-technical stakeholder.

📝 Enhancement Note: The emphasis on "apprenticeship" and "learning on the desk" suggests that while deep prior experience in structured finance isn't mandatory, a demonstrated aptitude for learning complex topics quickly and a strong analytical foundation are paramount. The interview process will likely be rigorous, testing both technical skills and soft competencies.

🛠 Tools & Technology Stack

Primary Tools:

• Microsoft Excel: Essential for financial modeling, cash flow analysis, scenario analysis, and tranche sizing. Advanced proficiency is a must.

• AI Tools (ChatGPT, Copilot, etc.): Expected to be used regularly for research, drafting, and potentially assisting with modeling tasks. Proficiency and critical judgment in their use are key.

Analytics & Reporting:

• Financial Data Terminals (e.g., Bloomberg, Refinitiv Eikon): Likely used for market data, research, and transaction tracking. Familiarity is beneficial.

• Internal Reporting Systems: Custom-built or integrated systems for tracking deal progress, performance metrics, and investor communications.

CRM & Automation:

• CRM Software: Potentially used for managing investor relations and business development contacts.

• VBA/Python: While not a strict requirement, familiarity with these programming languages for data manipulation and automation is a plus and will be developed on the job.

📝 Enhancement Note: Excel is clearly the cornerstone tool. The explicit mention of LLMs and AI tools indicates a modern tech stack where these are integrated into daily workflows. Candidates with exposure to data analysis tools and scripting languages will have an advantage, especially as these are areas for on-the-job development.

👥 Team Culture & Values

Operations Values:

• Innovation: A commitment to developing new and effective private credit solutions.

• Commitment: Dedication to client success and long-term partnerships.

• Client-Focused: Prioritizing client needs and delivering tailored solutions.

• Collaboration: Working effectively across teams to achieve shared goals, especially in a flat structure.

• Entrepreneurial: A proactive approach to identifying opportunities and driving product development.

• High-Performing: Striving for excellence in all aspects of work, from analysis to execution.

• Respectful: Maintaining professional conduct and valuing diverse perspectives.

• Supportive: Willingness to assist colleagues and contribute to a positive team environment.

Collaboration Style:

• Cross-Functional Integration: The Analyst will regularly interact with various departments, necessitating strong collaboration and communication skills to ensure seamless deal execution and product management.

• Open Feedback Culture: Implied by the "apprenticeship" model and flat structure, where learning and development are prioritized, likely involving constructive feedback.

• Knowledge Sharing: A culture that encourages sharing market insights, modeling techniques, and regulatory updates to foster collective growth and efficiency.

📝 Enhancement Note: The company's stated values like "Innovative," "Client-Focused," and "High-Performing" align well with the demands of a product strategy and development role in asset management. The emphasis on "Supportive" and "Collaborative" is particularly important given the flat team structure, suggesting that mutual support and teamwork are essential for success.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of Structured Finance: Mastering intricate financial models, complex legal documentation, and diverse regulatory frameworks.

• Fast-Paced Environment: Managing multiple live transactions simultaneously under tight deadlines, requiring exceptional organization and prioritization.

• Market Volatility: Adapting to dynamic market conditions and incorporating them into financial models and product strategies.

• Learning Curve: Rapidly acquiring specialized knowledge in securitization, CLOs, and specific regulatory regimes, as the role emphasizes learning on the job.

Learning & Development Opportunities:

• Structured Training: Formal and informal training on financial modeling, structured finance products, and regulatory compliance, particularly through the "apprenticeship" model.

• Mentorship: Direct guidance and mentorship from experienced Managing Directors and senior team members in a flat organizational structure.

• Industry Exposure: Deep immersion in the European private credit market, understanding its nuances and key players.

• Skill Development: Opportunities to develop advanced Excel, Python, or VBA skills, and gain practical experience with AI tools for financial analysis.

📝 Enhancement Note: The primary challenge is the steep learning curve associated with complex financial products and regulations. However, the company's explicit commitment to training and development through an apprenticeship model turns this challenge into a significant growth opportunity for ambitious individuals.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex financial model you've built. What were its key components, assumptions, and how did you test its robustness?" (Focus on Excel proficiency, quantitative thinking, and scenario analysis.)

• "How would you approach tracking and analyzing market trends in the CLO and asset-backed space to inform new product ideas?" (Assess market intelligence gathering, analytical skills, and commercial mindset.)

• "Imagine you need to present a new structured finance product to an investment committee. How would you structure your presentation and what key information would you include?" (Evaluate communication skills, strategic thinking, and understanding of investor needs.) Company & Culture Questions:

• "What interests you about Pemberton's approach to private credit and structured finance?" (Demonstrate research into the company's strategy and values.)

• "How do you see yourself contributing to a flat team structure, and how do you handle working closely with senior management?" (Highlight collaboration, proactivity, and respect for hierarchy despite the flat structure.)

• "Describe a time you had to learn a complex new concept quickly. How did you approach it?" (Assess learning agility and problem-solving approach.) Portfolio Presentation Strategy:

• Model Walkthrough: Prepare a clear, concise demonstration of a financial model. Focus on explaining the logic, key drivers, and how it supports decision-making. Use visual aids if possible.

• Case Study Narrative: If presenting a past project, frame it as a story: the challenge, your approach, the tools/methods used, the results, and what you learned. Quantify achievements where possible.

• AI Tool Integration: Be ready to discuss specific instances where you used AI tools to enhance your work, highlighting the benefits and any limitations or judgment calls you made.

• Focus on Process: Emphasize your understanding of the end-to-end process, from data input and analysis to output and communication, aligning with the role's responsibility scope.

📝 Enhancement Note: The interview process will heavily emphasize quantitative aptitude, modeling skills, and the ability to learn rapidly. Candidates should prepare to demonstrate both technical proficiency and a proactive, collaborative attitude. Highlighting experience with AI tools will be a significant plus.

📌 Application Steps

To apply for this Analyst, Product Strategy & Development position:

• Submit your application through the provided 'Apply for this Job' link on Ashby.

• Resume Optimization: Tailor your resume to highlight quantitative achievements, financial modeling experience (especially in Excel), any relevant internship experience in finance, and your proficiency with AI tools. Use keywords from the job description.

• Portfolio Preparation: Prepare examples of your quantitative work, such as financial models you've built, market analyses you've conducted, or any case studies demonstrating your problem-solving skills. Be ready to discuss these in detail.

• Company Research: Thoroughly research Pemberton Asset Management, its investment strategies, recent deals, and its stated company culture and values. Understand their position in the European private credit market.

• Interview Practice: Practice answering technical questions related to financial modeling and structured finance concepts. Rehearse behavioral questions and prepare to articulate your interest in the role and the company.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.