Job Specifications
Responsibilities
job summary:
AI Strategy & Opportunity Discovery
Collaborate with product owners, business partners, and engineers to surface AI/GenAI opportunities aligned to investment management objectives (ETFs, IMG operations, data workflows).
Assist in shaping AI strategy within Investment Systems, including prioritization of use cases, value assessment, and alignment to business goals.
Evaluate where AI can enhance efficiency, decision support, or process automation across investment and operational domains.
Rapid Experimentation & Prototyping
Drive quick turn proof of concepts and prototypes to test feasibility and value.
Convert successful experiments into actionable recommendations and partner with engineering teams to implement solutions.
Leverage GenAI frameworks, automation tooling, and cloud based AI services to build practical demonstrations.
SDLC & Operational Efficiency
Identify opportunities to improve the SDLC using AI (AI assisted development, automated documentation, enhanced testing, workflow insights).
Support teams in adopting AI enabled engineering practices and promote consistency with enterprise standards.
Consultation & Influence
Translate ambiguous or complex business problems into clear, data informed solution options.
Communicate insights and recommendations to partners with clarity and strategic framing.
Help build awareness and understanding of AI capabilities, risks, and constraints across Investment Systems.
Qualifications
5-8+ years of related experience, including 2-3+ years working with AI/ML, GenAI, analytics, or automation solutions.
Demonstrated experience in investment management, ETFs, index operations, trading workflows, or similarly data driven financial environments.
Robust ability to prototype quickly and move from idea → experiment → validated recommendation.
Hands on experience with GenAI tools, cloud based AI/ML services (AWS preferred), or automation frameworks.
Solid understanding of SDLC practices and modern engineering workflows.
Robust problem solving, communication, and consulting skills.
Bachelor's degree required; advanced degree preferred.
Preferred Qualifications
Background in applying AI and automation to operational or investment processes.
Experience with AI assisted developer tools (e.g., GitHub Copilot, Claude Code) or workflow automation platforms.
Familiarity with investment datasets, ETF and/or Investment Management operational flows, and risk/compliance expectations.
Describe the specialized knowledge, experience, and technical skills that must be applied to meet the position's responsibilities. Note the minimum years of work experience needed -- general business experience vs. specifically related experience (e.g., computer skills, LAN knowledge, graphics). Please list languages, platform, mfr. (e.g. Microsoft), version, and Integrated Development Environment (IDE). Ex: Visual C, Borland C, C++, Visual Basic, Java, NT3.51/NT 4.0, Visual Studio ver. 7.0. All qualifications are assumed to be required unless stated preferred.
location: Malvern, Pennsylvania
job type: Contract
salary: $64.70 - 69.70 per hour
work hours: 8am to 5pm
education: Bachelors
Responsibilities
Responsibilities
AI Strategy & Opportunity Discovery
Collaborate with product owners, business partners, and engineers to surface AI/GenAI opportunities aligned to investment management objectives (ETFs, IMG operations, data workflows).
Assist in shaping AI strategy within Investment Systems, including prioritization of use cases, value assessment, and alignment to business goals.
Evaluate where AI can enhance efficiency, decision support, or process automation across investment and operational domains.
Rapid Experimentation & Prototyping
Drive quick turn proof of concepts and prototypes to test feasibility and value.
Convert successful experiments into actionable recommendations and partner with engineering teams to implement solutions.
Leverage GenAI frameworks, automation tooling, and cloud based AI services to build practical demonstrations.
SDLC & Operational Efficiency
Identify opportunities to improve the SDLC using AI (AI assisted development, automated documentation, enhanced testing, workflow insights).
Support teams in adopting AI enabled engineering practices and promote consistency with enterprise standards.
Consultation & Influence
Translate ambiguous or complex business problems into clear, data informed solution options.
Communicate insights and recommendations to partners with clarity and strategic framing.
Help build awareness and understanding of AI capabilities, risks, and constraints across Investment Systems.
Qualifications
Preferred Qualifications
Background in applying AI and automation to operational or investment processes.
Experience with AI assisted developer tools (e.g., GitHub Copilot, Claude Code) or workflow automation platforms.
Familiarity with investment datasets, ETF and/or Investment Managemen