9fin Interview Plan Template
9fin
About 9fin
The world's largest asset class, debt, operates with the worst data.
Technology has revolutionized equity markets with electronic trading, quant algos and instantaneous news. However, in debt capital markets, the picture is completely different. It still behaves like it’s in the 1980s; trillions of dollars of trades are placed over the phone, news is slow, and corporate credit information is imperfect and scattered.
Our mission is to change this.
9fin's proprietary technology delivers fast and comprehensive financial, credit, legal & ESG analysis. Our clients are able to make faster, more informed decisions, win more business and most importantly, save time.
Our fast growing list of clients include 9 of the top 10 Investment Banks, leading Asset Managers, Hedge Funds and Law Firms.
What you’ll work on
As a highly skilled Product Analyst, you will leverage deep analytical insights to directly influence product strategy and drive tangible business outcomes. You'll be instrumental in unearthing critical opportunities and risks across our complex product ecosystem, acting as a strategic thought partner.
Pioneer Insight Generation & Strategic Influence: Lead the end-to-end analytical lifecycle for key product initiatives, transforming complex, multi-source datasets into actionable, high-impact insights that directly shape product roadmap decisions, user experience enhancements, and feature prioritisation for our core offerings.
Elevate Product Analytics Capabilities: Act as the principal expert in defining, implementing, and evangelising best practices, processes, and cutting-edge tools for product analytics. You will continuously push the boundaries of how we leverage platforms like Amplitude to understand user behaviour and product performance, driving internal adoption and proficiency.
Drive Data Integrity & Metric Definitions: Take direct ownership for the integrity and reliability of product-related data, proactively identifying, investigating, and resolving complex data anomalies. Partner with Analytics Engineers to define and evolve the metrics and dimensions in the semantic layer (e.g. LookML) for product data, ensuring robust, scalable, and self-service analytics capabilities for the entire product organisation.
Strategic Cross-Functional Partnership: Serve as a trusted analytical advisor to Senior Product Managers, Engineering Leads, and Go-to-Market teams, translating intricate business questions into analytical frameworks. You will proactively identify key performance indicators (KPIs), establish ambitious targets, and deliver compelling narratives that drive alignment and action across the business.
Develop High-Impact Analytical Products: Design, build, and maintain sophisticated, intuitive dashboards and interactive reports within our BI tools (e.g. Metabase, Hex), transforming raw data into accessible, actionable insights that empower stakeholders to monitor performance, identify trends, and make rapid, informed decisions at scale.
Contribute to Analytical Excellence: Proactively identify opportunities to enhance our analytical infrastructure, improve data processes, and strengthen documentation. You will contribute significantly to establishing a culture of rigorous, data-driven decision-making across the product and engineering functions.
Establish Foundational Experimentation Capabilities: Lead the discovery and initial implementation of our product experimentation framework. You'll leverage techniques like Bayesian interpretation to extract actionable insights despite sample size challenges, building the bedrock for rigorous, scalable product iteration.
About You
We seek a highly autonomous and intellectually curious Product Analyst with a track record of driving significant product impact through deep analytical insights.
Proven Product Analytics Expertise: Extensive experience in a dedicated product analytics role within a fast-paced, data-rich B2B SaaS or fintech environment, demonstrating a clear progression in analytical complexity and strategic influence. Experience using analytical packages and libraries in Python is a significant plus, especially for deeper analysis and simple modelling (e.g. logistic regression, XGBoost).
Mastery of Product Analytics Platforms: Exceptional proficiency in modern product analytics tools (e.g., Amplitude, Mixpanel), with a proven ability to design sophisticated event taxonomies, conduct deep behavioural analysis, and extract non-obvious insights from user datasets.
Advanced SQL Proficiency: Expert-level command of SQL for complex data manipulation, analysis, and optimisation. Demonstrated experience in designing and building robust, scalable data models, with significant hands-on experience using dbt (data build tool) for transformations.
Exceptional Data Storytelling & Influence: Proven ability to translate complex analytical findings into clear, concise, and compelling narratives for both highly technical and executive non-technical audiences. You can confidently present insights and influence strategic decision-making.
Expert in Data Visualisation & BI Tools: Advanced proficiency in modern business intelligence tools, with experience of designing intuitive, high-impact dashboards and reports that empower self-service analytics.
Strategic Problem Solver: A proactive, innovative, and strategic mindset, driven to independently resolve ambiguous, high-impact data and product challenges, and continuously improve data processes, documentation, and analytical methodologies across the organisation.
Strong Data Warehousing Foundations: Solid architectural understanding of data warehousing concepts and practical experience working with cloud-based data platforms (e.g., Google BigQuery, Snowflake, Redshift) for scalable data analysis.
Our benefits
We’re a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel.
Financial & Insurance
Competitive Salary (our salary bands are benchmarked at the top end of the market)
Equity options
Pension (your minimum contributions are 4% with 9fin matching up to 7%)
Private Medical Insurance
Paid sick leave with Income Protection for long periods of illness
Group Life Assurance
Season Ticket Loan & Cycle to Work schemes
Time off
25 holiday days per year
Local public holidays (with the ability to exchange them for alternative days)
Hybrid working model, to allow you the flexibility to decide how, where and when you do your best work
Work abroad for up to 3 months a year
1 month paid sabbatical after 5 years of service
Enhanced parental leave & flexible working arrangements available
Training & Culture
Professional learning and development budget
Quarterly team socials
Summer and Winter company social events
A note from the hiring manager
At 9fin, data isn’t just a support function; it’s at the core of our product. You’ll be surrounded by smart, curious people who are passionate about using data to make better decisions, improve our product, and create meaningful impact. If you’re looking for autonomy to own high-impact initiatives from conception through to delivery, and the opportunity to influence the entire organisation, then 9fin might be the perfect fit for you. I’d love to hear from you, apply now to learn more! – Rory, Analytics Engineering Manager
9fin is an equal opportunities employer
At 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you’re excited about this role but your experience doesn’t perfectly align with the job description, we encourage you to apply anyway. You might just be who we’re looking for — either for this role, or perhaps another.