Full-Time

Forward Deployed Investor

Posted on 8/18/2026

9fin

9fin

501-1,000 employees

Financial data platform for credit markets

No salary listed

London, UK

Hybrid

Hybrid working model; employees may work abroad for up to 3 months per year.

Category
Consulting (1)
Required Skills
LLM

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Requirements
  • At least 3 years of practitioner experience at an asset manager, credit fund, or insurer, with fluency across end-to-end investment workflows in the relevant area.
  • Experience in one or more of the following areas: credit portfolio management and research; private credit and direct lending; collateralized loan obligation investing; distressed and special situations; or buy-side transformation, data, or research technology functions focused on credit investing.
  • Demonstrable interest in technology applied to credit investing, such as participation in an internal artificial intelligence, data, or research technology working group or serving as an external vendor champion or evaluation lead.
  • Hands-on experience with modern domain tooling, including Rogo, Hebbia, AlphaSense, Octus, or comparable artificial-intelligence-native platforms.
  • Ability to operate inside confidential investment processes and maintain disciplined information boundaries between client accounts.
  • Ability to communicate effectively with analysts, portfolio managers, heads of research, chief investment officers, technical audiences, and business audiences.
  • Ability to collaborate across go-to-market, product, engineering, and other internal teams.
  • Ability to measure success by changes in client platform usage and investment outcomes.
Responsibilities
  • Map client investment workflows, including sourcing, screening, underwriting, credit committee preparation, portfolio monitoring, and relative value analysis, and identify the highest-value points for artificial intelligence integration.
  • Co-author adoption success criteria with clients based on their investment outcomes.
  • Build 9fin's artificial intelligence capabilities into client workflows using in-platform capabilities, Model Context Protocol integrations, agents, and future capabilities as they become available.
  • Iterate deployments based on actual usage behavior.
  • Onboard named users across investment, research, and risk functions.
  • Run enablement sessions with power users and identify and support client champions.
  • Monitor active usage and address dormant seats before they become churn signals.
  • Review adoption monthly with client champions and quarterly with the chief investment officer, head of research, or equivalent sponsor.
  • Feed structured deployment intelligence to product and engineering through prioritized account- and workflow-specific requests and cross-deployment patterns.
  • Provide the wider go-to-market organization with case studies, demo assets, workflow evidence, and competitive intelligence.
  • Identify expansion opportunities within served accounts for new users, use cases, departments, or products, and hand them to Account Management for commercial follow-up.
Desired Qualifications
  • Experience with high-yield, leveraged-loan, or multi-strategy credit investing, including screening, underwriting, credit committee processes, and ongoing portfolio monitoring.
  • Experience with origination, underwriting, documentation review, or portfolio monitoring at a private-credit or direct-lending platform.
  • Experience with collateralized loan obligation management, warehouse and portfolio construction, or collateralized loan obligation debt and equity tranche investing.
  • Experience with stressed and distressed credit analysis, restructuring and process tracking, documentation and covenant analysis, or capital-structure work.
  • Experience in investment data, quantitative or systematic credit research, a chief data office, digital transformation, or artificial intelligence strategy roles involving credit-investing workflow transformation.
  • Experience already working at a technology company focused on credit markets.
  • Experience evaluating or championing domain technology vendors.

9fin is a financial intelligence platform for credit market professionals. It combines AI-driven earnings transcripts, advanced search, ESG data, and tools for distressed and restructuring credits into a single subscription service. Users access detailed financial profiles, covenant analysis, and deal predictions, helping them understand legal risks and track market movements. The platform also aggregates news from about 2,000 sources and delivers it quickly to users’ inboxes. By offering a comprehensive suite of data and analytics, 9fin helps analysts and investment managers save time, win new business, and outperform peers. Its goal is to provide timely, in-depth insights that support decision making in the credit markets.

Company Size

501-1,000

Company Stage

Series C

Total Funding

$256.9M

Headquarters

London, United Kingdom

Founded

2016

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Simplify Jobs

Simplify's Take

What believers are saying

  • March 2026 Series C raised $170 million at a $1.3 billion valuation.
  • May 2026 hire of Kimberly Chin strengthens investment-grade coverage and content velocity.
  • July 2026 watchlist and beta BDC Valuations deepen product breadth for private credit buyers.

What critics are saying

  • Bloomberg reported February 2026 fundraising talks at a $1 billion valuation, showing pricing pressure.
  • Bloomberg called credit research highly contested in March 2026, squeezing 9fin's differentiation.
  • If banks reject embedded third-party AI under DORA scrutiny, enterprise adoption stalls in 2026.

What makes 9fin unique

  • 2026 BDC Watchlist flags $5.7 billion across 157 BDCs using Q1 2026 filings.
  • Amit Lalwani joined from Intapp in 2026 to scale enterprise revenue and workflows.
  • 9fin embeds AI chat, Research Grid, APIs, and MCP into credit analysis.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

401(k) Company Match

Paid Sick Leave

Disability Insurance

Commuter Benefits

Paid Vacation

Hybrid Work Options

Sabbatical Leave

Parental Leave

Flexible Work Hours

Professional Development Budget

Growth & Insights and Company News

Headcount

6 month growth

-3%

1 year growth

-4%

2 year growth

-1%
9fin
Jul 28th, 2026
Giving employees liquidity through 9fin's first secondary share sale

Following our $170M Series C, 9fin ran its first employee secondary sale, letting employees realise a portion of their equity at the same valuation.

Sifted
Jul 28th, 2026
9fin employees cash out equity after $170M Series C at $1.3B valuation

9fin, a debt intelligence platform, has conducted its first employee secondary share sale following its $170 million Series C funding round at a $1.3 billion valuation. More than half of eligible employees participated in the sale, allowing them to cash out a portion of their equity stakes. The transaction provides liquidity to staff members who have accumulated shares in the London-based unicorn. Employee secondary sales have become an increasingly common feature of late-stage funding rounds, enabling workers to realise value from their equity before an exit event. The move follows 9fin's substantial Series C raise, which cemented its status as a unicorn in the financial data and intelligence sector.

The Fintech Times
Jul 21st, 2026
9fin hires former JPMorgan digital banking chief huw Richards.

9fin hires former JPMorgan digital banking chief huw Richards. 9fin, the AI-native platform for global debt capital markets, has appointed Huw Richards as head of customer partnerships, a newly created position based in the company's New York office. Richards spent 23 years at JPMorgan, where he led several debt financing businesses globally before becoming the lead architect of the bank's Digital Investment Bank unit, a programme designed to embed technology and data more deeply into its investment banking operations. The hire signals a deliberate shift in how 9fin is positioning itself with its largest institutional clients. Rather than selling a data subscription at arm's length, the company says it is increasingly embedding its platform directly into client workflows via API and model context protocol connections, and through a suite of 9fin agents that institutions can use standalone or link to their own AI systems. Why the hire matters. Richards brings a credential that is difficult to replicate on the open market: he has been the buyer, not just the seller, of the kind of AI-driven data infrastructure that 9fin is now offering. Having run digital transformation from inside JPMorgan, he understands the procurement cycles, integration constraints and internal politics that determine whether an external platform gains genuine operational adoption or remains a peripheral tool. "In over 30 years in debt capital markets, I've not seen a moment as pivotal as this one for unlocking data-led insight," Richards said. "AI's potential is only fully unlocked when it's grounded in trusted, proprietary data. 9fin has both. The opportunity now is to connect that data directly to the AI-driven workflows of the world's largest institutions." 9fin says more than 350 banks, asset managers, law firms and advisers use its platform daily. The company has positioned its proprietary data as the differentiating layer that makes its AI outputs more reliable than general-purpose models trained on publicly available information, a framing that has become increasingly common among financial data vendors as the market for AI tooling in capital markets matures. Market context. The debt markets data and intelligence space has become more competitive as institutional buyers raise their expectations of what AI integration should look like in practice. Bloomberg, Refinitiv and a set of specialist credit intelligence providers all compete for the workflow of credit analysts and portfolio managers, while a growing cohort of AI-native challengers, 9fin among them, has built natively on large language models rather than retrofitting them onto legacy data architectures. The regulatory backdrop is also relevant. As financial institutions in the UK and EU face obligations under DORA and evolving FCA operational resilience guidance, the decision to embed a third-party AI platform into core investment banking workflows carries governance and vendor-concentration risk assessments that senior customer-facing hires are increasingly expected to navigate alongside commercial conversations. Richards's experience at JPMorgan positions him to engage with those concerns credibly. The near-term markers to watch are whether 9fin announces specific enterprise integrations off the back of this hire, and whether the customer partnerships model accelerates the company's progression toward a deeper, systems-level relationship with the bulge-bracket institutions that represent its highest-value segment.

PR Newswire
Jul 16th, 2026
9fin identifies $5.7B of loans held by BDCs 'at risk' with new comprehensive watchlist

9fin has launched a comprehensive BDC Watchlist identifying $5.7 billion of loans across 157 business development companies as potentially at risk. The AI-native information platform analysed Q1 2026 filings and found 468 individual loan positions showing material value erosion, representing 1.9% of the $305.2 billion BDC universe. The watchlist tracks quarter-over-quarter declines in fair value marks, identifying credits that have fallen below 90% and face potential further deterioration. These at-risk loans show an erosion of $1.2 billion from their $6.9 billion par value. Blackstone Private Credit Fund has the highest exposure with 37 positions cited, more than double any other vehicle. Some loans, including data analytics platform Qlik and logistics software company Solera, appear across 10 different BDC portfolios. The tool sits alongside 9fin's BDC Valuations platform, currently in beta.

The Fintech Times
Jun 26th, 2026
9fin appoints Intapp veteran Amit Lalwani as CRO to drive global expansion.

9fin appoints Intapp veteran Amit Lalwani as CRO to drive global expansion. Institutional fixed-income markets are undergoing a profound, software-driven modernization wave as complex credit workflows transition away from legacy terminal systems toward specialized intelligence networks. In a significant institutional play to capture this multi-trillion-dollar vertical, 9fin, the AI-native platform built explicitly for global debt markets, has officially named Amit Lalwani as its first chief revenue officer (CRO). Based in New York, Lalwani will report directly to 9fin chief executive officer and co-founder Steven Hunter. In this newly created executive post, his primary mandate centers on architecting an integrated, high-performing global revenue apparatus spanning enterprise sales, corporate account management, client success pipelines, and end-to-end revenue operations. The scaling metrics of an AI fintech unicorn. The heavyweight executive hire lands at a definitive milestone in 9fin's operational trajectory. Over the past twelve months, the company successfully closed a $170 million Series C funding round, minting its status as a market unicorn with a formal valuation of $1.3 billion. Backed by this capital, the platform has achieved significant cross-border scale: * Hyper-Growth Velocity: The business has sustained multiple consecutive fiscal years of 100% Annual Recurring Revenue (ARR) growth. * Geographic Proliferation: The platform's United States division is currently outlacing all other geographic territories, complemented by aggressive entry into major hubs across Latin America and the Asia-Pacific (APAC) region. * Institutional Penetration: More than 350 elite institutions now natively rely on the platform to guide critical credit decisions, a cohort comprising tier-one investment banks, global asset managers, corporate law firms, and advisory groups. The Intapp and Dealogic operational blueprint. Lalwani steps into the CRO role backed by more than two decades of proven leadership experience engineering commercial scale for high-growth financial technology organizations. He joins the debt capital markets platform from specialized software provider Intapp, where he functioned as vice president of financial services. During his impactful eight-year tenure across Intapp and DealCloud, Lalwani orchestrated a massive commercial expansion, spearheading account management and sales teams across the Americas, EMEA, and APAC corridors. Under his commercial leadership, the financial services division achieved a staggering 22x increase in client acquisition alongside a 25x expansion in ARR. Prior to his hyper-scale achievements at Intapp, Lalwani dedicated over 15 years to capital markets data provider Dealogic. While there, he occupied multiple executive positions traversing enterprise software sales, localized product development, and global account management frameworks, equipping him with a deep understanding of institutional buyer workflows. "Amit brings a rare combination of understanding our market and customers, and having scaled commercial organisations to hundreds of millions in ARR," noted Steven Hunter, CEO and co-founder of 9fin. "Our vision is to be the number one AI platform in the debt markets, and Amit is here to build the commercial machine to get us there". Embedding generative AI inside credit workflows. The structural foundation of 9fin - originally established by former J.P. Morgan banker Steven Hunter and veteran Deutsche Bank engineer Hussam El-Sheikh - combines proprietary fixed-income data pools, predictive analytics, and automated workflows into a single interface. The platform's latest technological leap involves the native deployment of AI Chat and the Research Grid. These advanced systems inject tailored generative AI directly into day-to-day credit analysis, allowing investment teams to parse complex debt covenants, compare historical yields, and generate automated research briefs with unparalleled speed. "9fin possesses the perfect combination of cutting-edge technology, elite talent, and proprietary data to spearhead the AI-driven transformation of global debt markets," added Lalwani. "It is incredibly rare to find a platform so deeply embedded across the entire credit ecosystem... The commercial runway ahead of us is enormous, and I am thrilled to lead the charge as we accelerate into our next hyper-growth chapter". As global debt markets grow increasingly complex amid shifting macroeconomic interest rate regimes, the ability to rapidly digest unstructured credit documentation via AI is transitioning from an operational luxury to an absolute necessity. Operating from centralized hubs in London, New York, Hong Kong, and Belfast, 9fin's newly consolidated leadership stack is uniquely positioned to transition legacy fixed-income analytics into a highly automated, intelligent era.