Analyst3

www.analyst3.ai

2 Jobs

3 Employees

About the Company

Analyst3 builds AI analysts for business brokers and lower middle market M&A advisors to scale operations without the costs and managerial challenges of traditional headcount.

Listed Jobs

Company Name: Analyst3
Job Title: Founding AI/Fullstack Engineer
Job Description: **Job Title** Founding AI/Fullstack Engineer **Role Summary** Lead the technical vision and execution for a vertical AI platform that accelerates M&A deal cycles. Own end‑to‑end development of agentic AI systems, scalable data pipelines, and RESTful services, while shaping product strategy and mentoring a small engineering team in a fast‑moving seed‑stage startup. **Expectations** - Deep expertise in AI agent systems (planning, routing, memory, retrieval, orchestration). - Proven full‑stack engineering background, delivering production‑grade APIs and data pipelines. - Strong product‑centric mindset: iterate quickly, measure user impact, and refine user experience. - Ownership mentality: make architectural decisions, set best practices, and drive execution from ideation to launch. - Comfortable with rapid, high‑volume experimentation and iterative learning typical of early‑stage companies. **Key Responsibilities** 1. Design and implement scalable agentic AI workflows (multi‑step planning, routing, memory, retrieval) that drive M&A lead sourcing and mandate execution. 2. Build and maintain robust data pipelines, model inference services, and third‑party integrations using Python, SQL, and TypeScript. 3. Create and expose high‑performance RESTful APIs (FastAPI/Azure) for front‑end and partner consumption. 4. Conduct model evaluation, benchmarking, and optimization to ensure accuracy, speed, and reliability. 5. Document architectural decisions, coding standards, and deployment procedures; lead code reviews and enforce quality. 6. Mentor junior engineers, fostering skill development, code ownership, and collaborative problem‑solving. 7. Work closely with product, design, and ops to translate business requirements into technical specifications. 8. Participate in product road‑mapping, GTM discussions, and fundraising communications to align engineering strategy with company goals. **Required Skills** - **AI & Machine Learning**: Agentic systems, multi‑step planning, retrieval‑augmented generation, model evaluation. - **Programming**: Proficiency in Python (FastAPI, Celery), TypeScript, SQL; strong command of version control (Git). - **Backend & Cloud**: Experience with Azure services, Postgres, API design, and orchestration frameworks. - **Data Engineering**: Build scalable data pipelines, ETL processes, and integrate external data sources. - **Product Acumen**: User‑centered design focus, metrics definition, iterative release cycles. - **Leadership**: Technical decision‑making, architecture documentation, mentorship, and cross‑functional collaboration. - **Startup Mindset**: Thrive in ambiguous, high‑velocity environments; take initiative and own outcomes. **Required Education & Certifications** - Bachelor’s degree (or higher) in Computer Science, Electrical Engineering, Data Science, or a related technical field. - No mandatory certifications; relevant coursework or self‑initiated projects demonstrating AI and full‑stack capabilities are valued.

Toronto, Canada

On site

01-12-2025

Company Name: Analyst3
Job Title: Founding Investment Banker – AI-Powered M&A
Job Description: **Job title:** Founding Investment Banker – AI‑Powered M&A **Role Summary:** Lead the design, development, and deployment of AI‑enhanced M&A support workflows for a startup that delivers “investment banking in a box.” The role blends hands‑on M&A expertise with product and AI strategy, driving the quality and methodology of AI analysts that support sell‑side and buy‑side mandates. Positions you on a trajectory toward broader leadership as the company scales. **Expectations:** - Deliver high‑impact results on real client mandates while shaping AI technology. - Exercise extreme ownership, maintain rigorous quality standards, and translate complex deal processes into scalable, AI‑driven solutions. - Own the customer experience from CIM creation to deal close, iterating on product features that solve real advisor pain points. - Mentor and manage junior analysts, fostering a culture of excellence within an early‑stage environment. - Collaborate closely with product, engineering, and GTM teams to keep technical direction aligned with advisor needs. **Key Responsibilities:** 1. Translate traditional M&A workflows (pitch decks, CIMs, teasers, data rooms, Q&A, diligence) into AI‑augmented processes. 2. Lead AI analyst design decisions for sell‑side and buy‑side mandates, setting functional specifications and quality benchmarks. 3. Own the end‑to‑end customer lifecycle: develop material templates, manage data room content, oversee diligence coordination, and ensure on‑time delivery. 4. Conduct live mandate work with senior M&A advisors to prototype, test, and refine AI capabilities. 5. Partner with product and engineering to prioritize features, relay advisor feedback, and validate commercial impact. 6. Build and coach a junior analyst/associate team, ensuring alignment with firm standards and technology adoption. **Required Skills:** - Minimum 3 years investment banking or M&A advisory experience, focused on lower‑middle or middle market deals. - Proven sell‑side track record: CIM and pitch deck creation, diligence management, and closing experience across multiple sectors. - Strong command of deal documentation (CIMs, teasers, Q&A, data rooms). - Experience running processes, managing deal workflows, and training junior staff. - Comfortable navigating ambiguity and owning outcomes in an early‑stage startup setting. - Basic knowledge of AI/LLMs and enthusiasm for integrating emerging technology into financial workflows. - Excellent written and verbal communication; ability to collaborate with senior bankers and business owners. **Required Education & Certifications:** - Bachelor’s degree in Finance, Economics, Business Administration, or a related field. - Professional certifications (e.g., CFA) are a plus but not mandatory.