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Technical Project Manager – Financial Services (AI-first

Job in London, Greater London, W1B, England, UK
Listing for: SymphonyAI
Full Time position
Listed on 2026-08-18
Job specializations:
  • IT/Tech
    Cybersecurity, AI Engineer (Applied/Software), AI Evaluation
Job Description & How to Apply Below
Position: Technical Project Manager – Financial Services (AI-first)
Introduction

Job Title:

Technical Project Manager Department:
Professional Services and AI Value Delivery

Reports To:

Customer Engagement Manager / Portfolio Manager Travel:
Up to 25% for customer engagements at bank sites

About SymphonyAI Financial Services:

SymphonyAI Financial Services is the global leader in AI-powered financial crime prevention. We provide SensaAI and Net Reveal, combining AI and non-AI software, to help over 300 banks, insurers, and financial firms prevent money laundering, fraud, sanctions breaches, and market abuse. Our systems sit between criminals and the financial system and are closely monitored by top regulators around the world.

Overview:

As a Technical Project Manager, you will own the end-to-end delivery of SensaAI and Net Reveal deployments at major financial institutions. You will lead complex, multi-stream projects spanning transaction monitoring, sanctions screening, KYC, and fraud, and act as the single point of accountability for delivery quality, timelines, regulatory readiness, and customer satisfaction.

Job Description

Key Responsibilities:

Run Strong, Modern Project Management:

Lead single-workstream or small multi-workstream projects within an existing customer engagement, typically spanning engineering, data science, and customer IT, with senior TPM or engagement manager oversight on cross-team dependencies, escalations, and decisions that affect the broader program.

Run delivery the AI Fast way — short cycles, working software, instrumented decisions, and decisions made on evidence rather than opinion, even inside long bank change-management calendars.

Maintain rigorous operating cadence: kickoff, weekly delivery, risk and issue management, change control, financial tracking, lessons learned, and the regulator-grade documentation expected in financial services, working in partnership with the broader delivery team.

Contribute to delivery of assets — playbooks, accelerators, model tuning patterns, MRM evidence templates, and reference deployments — that the rest of the Financial Services AI Value Delivery practice can reuse.

Use AI tools in your own workflow — for planning, status synthesis, risk analysis, alert and scenario review, customer artifacts, and quality checks. We expect AI-first behavior from the people delivering AI.Drive and champion AI adoption within teams by actively motivating and enabling individuals to integrate AI into their daily workflows, ensuring its practical use delivers measurable business value.

Deploy AI Financial Crime Technology Successfully, In Production:

Own the end-to-end delivery of SensaAI and Net Reveal projects typically up to $1M in budget, operating within a defined scope and existing contract — from kickoff through model tuning, user acceptance, go-live, and hypercare — and ensuring alignment on schedule, budget, quality, and risk. Engage senior TPMs for scope-change decisions, commercial trade-offs, and complex risk calls.

Orchestrate cross-functional teams (solutions architecture, data science, engineering, and customer stakeholders) to ensure the technical solution is coherent, compliant, and delivers against agreed financial crime objectives, challenging assumptions where needed and driving decision-making.

Drive AI deployment readiness for regulated environments: data lineage, model evaluation and explainability, alert quality benchmarks, scenario tuning, transaction monitoring above-the-line and below-the-line testing, sanctions list refresh, payments cutover plans, and parallel-run strategies.

Operationalize the AI value case in production with the bank to instrument and track the outcomes that matter — alert reduction, investigator productivity, SAR quality, time-to-decision, and total cost of compliance — and surface the results to the engagement manager, who leads renewal and expansion conversations with the customer.

Produce model risk management evidence packs that satisfy SR 11-7, SS1/23, and equivalent regulatory regimes, alongside the bank’s MRM and internal audit functions.

Manage Senior Bank Stakeholders with Rigor and Empathy:

Co-lead the customer relationship with the engagement manager, serving as the…
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