Technical Programme Manager ? Strategic Investment Platform

Below is a polished, ready‑to‑publish version of the Technical Programme Manager – Strategic Investment Platform role, followed by a short “What to look for in candidates” checklist and a set of interview questions you can use to assess the most critical competencies.

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📄 Technical Programme Manager – Strategic Investment Platform

Location: [City, Country] – hybrid/remote as agreed
Reporting to: Head of the Investment Platform
Employment type: Full‑time, senior individual‑contributor

About the client

A world‑leading global bank with a 150‑year heritage in quantitative finance and structured investment products. The firm is launching a multi‑year, next‑generation investment platform that will enable data‑driven, systematic strategies to be built, back‑tested, and deployed at institutional scale.

Why this role matters

The platform sits at the nexus of quant research, engineering, IT infrastructure, and the business. As the Technical Programme Manager you will be the “glue” that keeps dozens of inter‑dependent teams moving together, ensuring delivery is coherent, evidence‑based, and continuously improving.

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Key Responsibilities

Area	What you’ll do
Delivery orchestration	• Own end‑to‑end delivery coherence across multiple engineering squads (Quant, Core Platform, Data, Infra). • Identify, track, and resolve cross‑team dependencies before they become blockers.
Evidence‑based cadence	• Define and enforce delivery cycles built on working integrations, demonstrable interfaces, and measurable performance benchmarks.
Testing & environments	• Design the overall testing strategy (unit, integration, performance, regression). • Ensure appropriate test and staging environments are provisioned, version‑controlled, and kept in sync with production.
Risk & issue management	• Surface technical risks, unknowns, and integration challenges early. • Maintain a systematic risk‑log, drive mitigation actions, and report status to senior sponsors.
Stakeholder communication	• Translate complex technical concepts into clear, accurate narratives for senior business leaders. • Proactively manage expectations – communicate constraints, trade‑offs, and realistic delivery horizons.
Continuous improvement	• Challenge assumptions, validate claims, and surface inefficiencies across the programme. • Partner with team leads on resourcing, prioritisation, and capacity planning.
Governance & compliance	• Ensure delivery artefacts (design docs, test results, performance metrics) meet internal audit and regulatory standards.
Mentoring & influence	• Operate without direct line authority; influence Quant, Tech, IT, and Business teams through credibility, data‑driven arguments, and strong relationship‑building.

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Required Experience & Skills

Must‑have	Nice‑to‑have
Domain expertise – Proven delivery of complex technology programmes in investment banking, quantitative finance, or systematic investment platforms.	Direct exposure to structured products, equity derivatives, or passive systematic platforms.
Quant‑tech fluency – Hands‑on experience working with Quant researchers & developers; comfortable with Python, C++, distributed data systems, market‑data feeds.	Experience with GPU‑accelerated analytics, low‑latency messaging (e.g., FIX, Kafka), or cloud‑native data lakes.
Program‑level coordination – Demonstrated ability to manage cross‑team dependencies, risk registers, and evidence‑based delivery cycles.	Prior experience building back‑testing pipelines or productionising research‑to‑trading workflows.
Technical breadth – Solid understanding of software architecture, CI/CD pipelines, container orchestration (K8s/Docker), and infrastructure (Linux, networking, storage).	Certifications in Project Management (PMP, PRINCE2, AgilePM) or Cloud (AWS/GCP/Azure).
Influence without authority – Comfortable operating in large matrix organisations; strong, adaptable communication style.	Experience leading large‑scale transformation programmes (>£100M).
Analytical mindset – Ability to surface inefficiencies, challenge assumptions, and drive data‑driven decisions.	Publications or patents in quantitative finance or related fields.

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What We Offer

• Competitive total‑remuneration (base + performance bonus + long‑term incentives).
• Flexible working – hybrid model with generous remote‑work days.
• Professional development – tuition reimbursement, conference budget, and internal learning pathways.
• Impact – Directly shape a platform that will be the backbone of the firm’s next‑generation investment strategies.

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📋 What to Look for in Candidates

Competency	Evidence to Seek
Strategic delivery mindset	Describes a concrete programme where they mapped dependencies, set evidence‑based milestones, and delivered on time despite matrix constraints.
Quant‑tech fluency	Talks fluently about Python/C++ libraries, market‑data ingestion, back‑testing frameworks, and can explain a typical research‑to‑production workflow.
Risk & issue leadership	Shows a risk‑log or example of surfacing a hidden integration risk early and steering mitigation actions.
Communication & translation	Provides a sample slide or narrative that turned a technical design into a business‑focused story for senior executives.
Influence without authority	Gives examples of gaining buy‑in from disparate teams (Quant, Infra, Business) without formal reporting lines.
Continuous improvement	Mentions a process change (e.g., moving from waterfall to iterative delivery) that produced measurable efficiency gains.

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🎤 Sample Interview Questions

Delivery & Coordination

1. Program Overview: Tell me about the most complex technology programme you’ve delivered in an investment‑banking environment. What were the key milestones, and how did you keep the many teams aligned?
2. Dependency Management: Describe a situation where a cross‑team dependency threatened to become a blocker. How did you identify it early, and what steps did you take to resolve it?

Evidence‑Based Delivery

3. Metrics & Benchmarks: What performance or quality metrics did you define for a recent platform release? How did you ensure those metrics were tracked and acted upon?
4. Testing Strategy: Walk me through the testing strategy you built for a distributed data‑processing pipeline. How did you guarantee the right environments were available?

Quant‑Tech Fluency

5. Quant Collaboration: Give an example of a time you worked directly with quant researchers to translate a research prototype into a production‑ready component.
6. Technology Stack: What are the trade‑offs between using Python vs. C++ for latency‑sensitive quant modules? How have you managed those decisions in past programmes?

Risk & Issue Management

7. Risk Identification: How do you systematically surface unknowns in a large‑scale integration project? Can you share a concrete risk‑log you maintained?
8. Mitigation: Tell me about a risk that materialised despite mitigation. What was the impact and what did you learn?

Communication & Influence

9. Stakeholder Narrative: Explain a complex technical architecture to a senior business sponsor who has no technical background. What approach do you take?
10. Influence Without Authority: Describe a time you needed to get a team to adopt a new process, but you didn’t have direct reporting lines. How did you achieve buy‑in?

Continuous Improvement & Challenge Assumptions

11. Process Review: Give an example where you challenged an existing assumption about a platform’s scalability. What data did you use, and what was the outcome?
12. Efficiency Gains: What inefficiency did you uncover in a programme, and how did you redesign the workflow to improve it?

Culture & Fit

13. Matrix Environment: What’s your approach to navigating a large matrix organisation where priorities can shift quickly?
14. Future Vision: If you were to design the next‑generation investment platform from scratch, what three architectural principles would you champion?

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Next Steps

1. Finalize the job posting – copy the “Key Responsibilities”, “Required Experience & Skills”, and “What We Offer” sections into your ATS or careers page.
2. Screening rubric – use the “What to Look for in Candidates” table to score CVs (e.g., 0‑5 per competency).
3. Interview plan – schedule a 2‑stage process: (a) technical delivery interview (focus on delivery, risk, testing) and (b) senior stakeholder interview (focus on communication, influence, vision).

Feel free to let me know if you’d like:

• A shorter, bullet‑point version for LinkedIn or job boards.
• A candidate scorecard template for interviewers.
• Sample email outreach to passive candidates.

I’m happy to help you tailor any of the above to your exact branding and timeline. 🚀