포지션 상세
[Why LinqAlpha]
Our mission is to build the alpha intelligence layer for global public markets. We equip portfolio managers, analysts, and sales teams at the world’s leading hedge funds, asset managers, and investment banks with AI-native deep research, meeting intelligence, and structured / alternative data analytics that compress days of institutional workflow into minutes. We are not incrementally improving how finance runs. We are rebuilding the substrate underneath it.
Why a vertical AI layer for institutional finance matters. Every serious investor asked us the same question during our Series A: what stops a horizontal model provider from doing what LinqAlpha does? The answer is where finance actually lives. Real investment workflows sit inside proprietary data, regulated environments, and years of institutional context that no general model has access to. We build the vertical layer that turns raw capability into decision-grade output the buy-side actually trusts. Today we deliver as SaaS. Next is API and MCP-based agent delivery. Ultimately we deliver as VPC and on-prem inside the largest Wall Street institutions. That progression is the moat, and it is not something a horizontal model provider can lift and shift.
This is a defining moment to join. We just closed a $22M Series A, co-led by AVP (formerly AXA Venture Partners) and GFT Ventures with our existing lead Atinum Investment following on, joined by a global syndicate that includes Z Venture Capital and SBI Investment in Japan, Betatron in Hong Kong and Singapore, SV Investment, East Ventures, NuVentures, and leading Korean institutions across Samsung Securities, Mirae Asset, Shinhan, NH, and Hana. Almost every investor is already deeply engaged with us. This round is not just capital, it is a distribution engine. We have 70+ paying institutional clients, 90%+ retention, and a plan to grow 10x every 12 months across six connected offices: New York, Boston, Seoul, Hong Kong, Singapore, and London.
The bar inside the team is high. We take talent density seriously, and we take our users even more seriously. Our team is sharp, motivated, and deeply committed to the mission. We take ownership of complex problems and stay relentlessly focused on our users. If you thrive in a fast-moving environment, demand excellence in yourself and the people around you, and want to help set the standard for AI-native infrastructure in institutional finance, this is where you should be.
• Combine an analyst's perspective with a product builder's instinct to help define, together with the team, where LinqAlpha needs to go next quarter and next year.
[What You Will Do]
• Map LinqAlpha's product workflows from the end user's perspective and surface the highest-leverage improvement opportunities.
• Draft product specs for new agents and features, and align priorities with product and engineering.
• Run client research, interviews, and QA to collect qualitative and quantitative feedback and turn it into insight the team can act on.
• Author and iterate on domain content, prompts, and evaluation rubrics grounded in capital markets expertise.
• Act as the communication bridge across research, engineering, and GTM, and document the key decisions.
• Genuine excitement about imagining and validating new workflows at the intersection of AI and financial research.
• Ability to work through a full-cycle capital markets research process on your own: disclosures, financial statements, industry analysis.
• Data-driven, logical, and evidence-based thinking, with the execution to structure and solve ambiguous problems.
• Comfortable speaking the language of engineers and designers when scoping product specs together.
Our mission is to build the alpha intelligence layer for global public markets. We equip portfolio managers, analysts, and sales teams at the world’s leading hedge funds, asset managers, and investment banks with AI-native deep research, meeting intelligence, and structured / alternative data analytics that compress days of institutional workflow into minutes. We are not incrementally improving how finance runs. We are rebuilding the substrate underneath it.
Why a vertical AI layer for institutional finance matters. Every serious investor asked us the same question during our Series A: what stops a horizontal model provider from doing what LinqAlpha does? The answer is where finance actually lives. Real investment workflows sit inside proprietary data, regulated environments, and years of institutional context that no general model has access to. We build the vertical layer that turns raw capability into decision-grade output the buy-side actually trusts. Today we deliver as SaaS. Next is API and MCP-based agent delivery. Ultimately we deliver as VPC and on-prem inside the largest Wall Street institutions. That progression is the moat, and it is not something a horizontal model provider can lift and shift.
This is a defining moment to join. We just closed a $22M Series A, co-led by AVP (formerly AXA Venture Partners) and GFT Ventures with our existing lead Atinum Investment following on, joined by a global syndicate that includes Z Venture Capital and SBI Investment in Japan, Betatron in Hong Kong and Singapore, SV Investment, East Ventures, NuVentures, and leading Korean institutions across Samsung Securities, Mirae Asset, Shinhan, NH, and Hana. Almost every investor is already deeply engaged with us. This round is not just capital, it is a distribution engine. We have 70+ paying institutional clients, 90%+ retention, and a plan to grow 10x every 12 months across six connected offices: New York, Boston, Seoul, Hong Kong, Singapore, and London.
The bar inside the team is high. We take talent density seriously, and we take our users even more seriously. Our team is sharp, motivated, and deeply committed to the mission. We take ownership of complex problems and stay relentlessly focused on our users. If you thrive in a fast-moving environment, demand excellence in yourself and the people around you, and want to help set the standard for AI-native infrastructure in institutional finance, this is where you should be.
주요업무
• Develop a deep understanding of our clients' research and investment workflows, and translate that understanding into a product direction that maps to the domain in the real world.• Combine an analyst's perspective with a product builder's instinct to help define, together with the team, where LinqAlpha needs to go next quarter and next year.
[What You Will Do]
• Map LinqAlpha's product workflows from the end user's perspective and surface the highest-leverage improvement opportunities.
• Draft product specs for new agents and features, and align priorities with product and engineering.
• Run client research, interviews, and QA to collect qualitative and quantitative feedback and turn it into insight the team can act on.
• Author and iterate on domain content, prompts, and evaluation rubrics grounded in capital markets expertise.
• Act as the communication bridge across research, engineering, and GTM, and document the key decisions.
자격요건
• Minimum 2 to 3 years of experience as an analyst or in IBD: sell-side research, buy-side asset manager, hedge fund, IB coverage, M&A, ECM, DCM, or in-house research center.• Genuine excitement about imagining and validating new workflows at the intersection of AI and financial research.
• Ability to work through a full-cycle capital markets research process on your own: disclosures, financial statements, industry analysis.
• Data-driven, logical, and evidence-based thinking, with the execution to structure and solve ambiguous problems.
• Comfortable speaking the language of engineers and designers when scoping product specs together.
