VP - Technical Program Manager - Autonomous Alpha Generation Platform

JOB DESCRIPTION

We are seeking a

We are seeking a Vice President – Technical Program Manager (TPM) to drive the vision, program execution, and cross-functional delivery of our central Autonomous Alpha Generation Platform
. Positioned at the convergence of quantitative research, artificial intelligence, automated trading systems and scalable platform engineering, this ecosystem enables autonomous AI/ML agents and qua Vntitative researchers to explore signal spaces, engineer features, evaluate statistical models, and run high‑fidelity simulations.

In this role, the TPM serves as a key strategic facilitator, program leader, and platform enabler. The primary focus is defining, building, and deploying a modular, extensible central infrastructure that seamlessly integrates into the existing workflows, software architectures, and specialized strategies of individual trading desks.

The ideal candidate combines strong technical platform leadership with experience in machine learning and automated trading systems with structured project and program management discipline. You will lead cross‑functional delivery across engineering, research, and business teams, architecting pluggable framework interfaces that allow internal teams to customize capabilities while embedding human control points and intuitive user interfaces into agentic workflows.

• Platform Leadership & Program Management
• Drive end‑to‑end project management and program execution for the central platform, establishing clear delivery milestones, release schedules, and cross‑functional dependencies across multi‑team engineering sprints.
• Lead integration initiatives to tie central platform infrastructure into the desk‑specific applications, execution systems, and strategy frameworks of individual trading teams.
• Define and measure platform adoption, developer experience (DX), throughput velocity, and system reliability metrics across internal client groups.
• Coordinate cross‑functional alignment across Quantitative Research, Core Technology, Data Engineering, Infrastructure, and Risk Governance teams.
• Extensible Frameworks & Modular Integration
• Drive an open, highly flexible platform architecture, establishing SDKs, APIs, and plugin standards that enable internal clients and trading desks to easily plug in their own proprietary capabilities, custom analytical modules and execution simulators.
• Abstract core platform mechanisms so desk quants retain full flexibility over their proprietary trading logic while benefiting from centralized compute, data storage, and automated strategy exploration infrastructure.
• Maintain standardized validation contracts, parameter sweep frameworks, and cross‑asset evaluation hooks across all integrated plugins.
• Human Control Points & User Interface Design
• Define requirements for Human‑in‑the‑Loop (HITL) control mechanisms, establishing structured approval gates, confidence thresholds, and real‑time intervention capabilities within autonomous agent workflows.
• Address user interface (UI/UX) challenges by partnering with front‑end engineering teams to deliver intuitive dashboards and control centers that provide quants and portfolio managers with real‑time visibility, inspection tools, audit trails, and manual override controls over agent decisions.
• Ensure all workflow checkpoints comply with internal Model Risk Management (MRM) and regulatory oversight standards.
• Core Data & MLOps Infrastructure
• Direct requirements for scalable, central data and feature infrastructure, ensuring strict point‑in‑time integrity and dataset lineage tracking across raw, synthetic, and model‑derived data assets.
• Establish unified cataloging, metadata searchability, and data discovery interfaces to support seamless…