The Planet Group
This range is provided by The Planet Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base Pay Range $70.00/hr staking
Mission Bridge the gap between emerging AI capabilities and the complex world of Investment Management. You will partner with Product Owners and Engineering teams to identify, prototype, and scale GenAI solutions that optimize
ETF operations, trading workflows, and software delivery (SDLC).
Core Priorities
Discovery & Strategy:
Surface high-value AI use cases across investment data workflows and prioritize them based on business impact and feasibility.
Rapid Prototyping:
Lead “Idea-to-POC” initiatives. You’ll build functional demonstrations using GenAI frameworks and cloud services (AWS) to prove value before full-scale engineering.
Operational Alpha:
Identify ways to use AI to sharpen investment decision‑making and automate manual back‑office processes.
AI-Enabled Engineering:
Drive the adoption of AI‑assisted development tools (e.g., GitHub Copilot) to accelerate the SDLC while maintaining security and risk standards.
Qualifications
Experience:
5–8+ years in professional tech/strategy, with at least 2–3 years focused specifically on AI, GenAI, or advanced automation.
Domain:
A strong background in
Investment Management, ETFs, or Trading
environments is essential. You understand how financial data moves.
The “Builder” Mindset:
Hands‑on experience with LLMs, GenAI frameworks, and cloud‑based AI services (AWS preferred).
The “Consultant” Skillset:
Ability to influence stakeholders without direct authority and translate “AI hype” into structured, data‑backed business cases.
Nice‑to‑Haves
Experience in highly regulated environments (Model Risk, Compliance, Governance).
Familiarity with AI‑assisted developer tools like Claude Code or agentic workflow platforms.
Seniority Level \ Deric Mid‑Senior level
Employment Type Contract
Job Function Information Technology
#J-18808-Ljbffr
Base Pay Range $70.00/hr staking
Mission Bridge the gap between emerging AI capabilities and the complex world of Investment Management. You will partner with Product Owners and Engineering teams to identify, prototype, and scale GenAI solutions that optimize
ETF operations, trading workflows, and software delivery (SDLC).
Core Priorities
Discovery & Strategy:
Surface high-value AI use cases across investment data workflows and prioritize them based on business impact and feasibility.
Rapid Prototyping:
Lead “Idea-to-POC” initiatives. You’ll build functional demonstrations using GenAI frameworks and cloud services (AWS) to prove value before full-scale engineering.
Operational Alpha:
Identify ways to use AI to sharpen investment decision‑making and automate manual back‑office processes.
AI-Enabled Engineering:
Drive the adoption of AI‑assisted development tools (e.g., GitHub Copilot) to accelerate the SDLC while maintaining security and risk standards.
Qualifications
Experience:
5–8+ years in professional tech/strategy, with at least 2–3 years focused specifically on AI, GenAI, or advanced automation.
Domain:
A strong background in
Investment Management, ETFs, or Trading
environments is essential. You understand how financial data moves.
The “Builder” Mindset:
Hands‑on experience with LLMs, GenAI frameworks, and cloud‑based AI services (AWS preferred).
The “Consultant” Skillset:
Ability to influence stakeholders without direct authority and translate “AI hype” into structured, data‑backed business cases.
Nice‑to‑Haves
Experience in highly regulated environments (Model Risk, Compliance, Governance).
Familiarity with AI‑assisted developer tools like Claude Code or agentic workflow platforms.
Seniority Level \ Deric Mid‑Senior level
Employment Type Contract
Job Function Information Technology
#J-18808-Ljbffr