Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers software and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.
Title of Role: Forward Deployed Research Analyst
Location: New York City NY (Hybrid 4 days/week onsite) Company Stage of Funding: Post-PMF bootstrapped ($10M ARR client-funded growth) Office Type: Hybrid Salary: $200000 $250000 Competitive Equity Visa: Visa sponsorship available (case-by-case; limited new H1B support)
Company Description
Our client is building an AI-powered platform that enables hedge funds and asset managers to become AI-native by transforming how investment research portfolio management and risk workflows are executed.
The platform is already deployed across leading institutional investment firms and is used to automate and enhance core workflows such as equity research risk monitoring and portfolio analysis.
This is a rare opportunity to join a fast-scaling AI infrastructure company at the ground floor of its client-facing forward-deployed team working directly with some of the most sophisticated investment organizations in the world.
What You Will Do
Embed directly with hedge fund and asset management clients on-site
Deeply understand equity research portfolio management and risk workflows
Translate real-world investment processes into AI-powered workflows and systems
Build and deploy production-grade AI agents connectors and automation workflows
Work closely with engineering to convert client needs into scalable platform features
Act as a direct feedback loop between investment professionals and product teams
Build reusable investment workflow playbooks across clients
Use live financial data environments to design and refine AI systems
Identify high-leverage opportunities to automate and enhance research workflows
Partner with senior investors and PMs to improve decision-making processes using AI
Ideal Candidate Background
37 years of experience in equity research hedge funds or asset management
Experience in:
Fundamental equity research (buy-side or sell-side preferred)
Quant research portfolio management or risk (bonus)
Hands-on experience with financial data platforms:
Bloomberg FactSet CapIQ Visible Alpha PitchBook or similar
Exposure to AI tools or applied AI workflows (agents automation or side projects strongly preferred)
Strong Python / SQL or data manipulation skills
Experience working directly with portfolio managers or senior investment professionals
Comfortable operating in unstructured client-facing environments
Preferred / Strong Signals
Experience at hedge funds asset managers or institutional research teams
Background in multi-strategy or systematic investment workflows
Hands-on experience building AI tools for research or financial workflows
Exposure to workflow automation or internal tooling in finance environments
Experience working in high-trust client-embedded roles
Strong Signals
Deep equity research or investment decision-making experience
Proven ability to build or experiment with AI agents or automation systems
Strong technical fluency in AI concepts (LLMs RAG embeddings etc.)
High ownership mindset in ambiguous fast-moving environments
Ability to operate directly with senior investors and C-suite stakeholders
Strong communication and trust-building skills in client-facing settings
Experience building 01 systems in finance or data-heavy environments
Compensation and Benefits
Base salary: $200000 $250000
Equity: Competitive early-stage equity
Hybrid role in New York City (4 days onsite)
Direct access to founders and investment clients
High ownership low bureaucracy environment
Fast iteration cycles in production environments
Exposure to top-tier hedge funds and asset managers
Why Join
This is a rare forward-deployed AI role at the intersection of equity research hedge fund workflows and applied AI systems.
You will work directly inside institutional investment teams and help redesign how research and portfolio workflows are executed using AI.
If you want to build production AI systems that sit inside real hedge fund decision-making environments and directly shape how institutional investors use AI this is a high-impact ground-floor opportunity with significant ownership and visibility.
Required Experience:
IC
Who is Recruiting from Scratch:Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers software and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.Title of Role: Forward Dep...
Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers software and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.
Title of Role: Forward Deployed Research Analyst
Location: New York City NY (Hybrid 4 days/week onsite) Company Stage of Funding: Post-PMF bootstrapped ($10M ARR client-funded growth) Office Type: Hybrid Salary: $200000 $250000 Competitive Equity Visa: Visa sponsorship available (case-by-case; limited new H1B support)
Company Description
Our client is building an AI-powered platform that enables hedge funds and asset managers to become AI-native by transforming how investment research portfolio management and risk workflows are executed.
The platform is already deployed across leading institutional investment firms and is used to automate and enhance core workflows such as equity research risk monitoring and portfolio analysis.
This is a rare opportunity to join a fast-scaling AI infrastructure company at the ground floor of its client-facing forward-deployed team working directly with some of the most sophisticated investment organizations in the world.
What You Will Do
Embed directly with hedge fund and asset management clients on-site
Deeply understand equity research portfolio management and risk workflows
Translate real-world investment processes into AI-powered workflows and systems
Build and deploy production-grade AI agents connectors and automation workflows
Work closely with engineering to convert client needs into scalable platform features
Act as a direct feedback loop between investment professionals and product teams
Build reusable investment workflow playbooks across clients
Use live financial data environments to design and refine AI systems
Identify high-leverage opportunities to automate and enhance research workflows
Partner with senior investors and PMs to improve decision-making processes using AI
Ideal Candidate Background
37 years of experience in equity research hedge funds or asset management
Experience in:
Fundamental equity research (buy-side or sell-side preferred)
Quant research portfolio management or risk (bonus)
Hands-on experience with financial data platforms:
Bloomberg FactSet CapIQ Visible Alpha PitchBook or similar
Exposure to AI tools or applied AI workflows (agents automation or side projects strongly preferred)
Strong Python / SQL or data manipulation skills
Experience working directly with portfolio managers or senior investment professionals
Comfortable operating in unstructured client-facing environments
Preferred / Strong Signals
Experience at hedge funds asset managers or institutional research teams
Background in multi-strategy or systematic investment workflows
Hands-on experience building AI tools for research or financial workflows
Exposure to workflow automation or internal tooling in finance environments
Experience working in high-trust client-embedded roles
Strong Signals
Deep equity research or investment decision-making experience
Proven ability to build or experiment with AI agents or automation systems
Strong technical fluency in AI concepts (LLMs RAG embeddings etc.)
High ownership mindset in ambiguous fast-moving environments
Ability to operate directly with senior investors and C-suite stakeholders
Strong communication and trust-building skills in client-facing settings
Experience building 01 systems in finance or data-heavy environments
Compensation and Benefits
Base salary: $200000 $250000
Equity: Competitive early-stage equity
Hybrid role in New York City (4 days onsite)
Direct access to founders and investment clients
High ownership low bureaucracy environment
Fast iteration cycles in production environments
Exposure to top-tier hedge funds and asset managers
Why Join
This is a rare forward-deployed AI role at the intersection of equity research hedge fund workflows and applied AI systems.
You will work directly inside institutional investment teams and help redesign how research and portfolio workflows are executed using AI.
If you want to build production AI systems that sit inside real hedge fund decision-making environments and directly shape how institutional investors use AI this is a high-impact ground-floor opportunity with significant ownership and visibility.
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