CasperStudios Investment Compliance Technical Lead at Casper Studios to lead transformation of investment management agreement compliance systems. Build semantic and data foundations for structured, searchable compliance rules.
Responsibilities
We're looking for someone who sits at the intersection of investment compliance expertise and technical architecture. You'll lead a project for a trillion-dollar AUM asset manager, transforming how they manage Investment Management Agreements (IMAs) - a massive corpus of PDF documents that define how each client's portfolio can be managed.
Today, the firm's teams manually search these documents and copy critical terms into spreadsheets or trading systems. The same rule can appear across an IMA, an amendment, an email, and other systems - creating slow work and genuine risk that staff use outdated terms, miss amendments, or apply the wrong rules to a client portfolio.
You'll build the semantic and data foundation that turns this into a structured, searchable, deterministic compliance system. Think: rules that understand effective dates, preserve amendment history, trace back to source clauses, and can be tested like code.
This is a role for someone who owns outcomes, bridges business and technical domains, and wants unusual amounts of responsibility early.
Assess the landscape: Map how restrictions, benchmarks, exceptions, and remediation requirements are currently expressed across IMAs, amendments, and CRIMS configurations
Define the semantic model: Design the canonical vocabulary, schema, and rule composition model that represents restrictions, thresholds, and exceptions consistently - with effective dating, versioning, and provenance baked in
Resolve ambiguity: Work directly with legal, compliance, and investment stakeholders to interpret guideline language and turn it into unambiguous, computable rules
Model the hard parts: Structure limits, ratings, benchmarks, breaches, remediation actions, and effective-date logic - the full complexity of investment mandates
Design traceability: Ensure every rule traces back to its source clause and interpretation, with auditable change control
Prototype and guide implementation: Build the initial platform, establish rule validation and scenario-testing practices, and set the technical direction for the team
What You’ll Bring
Technical Architecture & Implementation
Qualification
Required
Experience with rules engine or decision-modeling tools such as Drools, DMN, Camunda, or Open Policy Agent
Experience modeling temporal/versioned data models
Experience with knowledge graphs or semantic modeling technologies such as RDF, OWL, or ontology