Referment
Product Architect (B055E39)
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Product Architect
Referment is working with a capital markets technology company whose quantitative analytics and software are used by banks, asset managers, and other financial institutions to price derivatives and manage risk. The business is building its next generation of front-to-risk solutions, pairing AI-enabled capability with the deterministic, auditable calculations that regulated institutions require.
This Product Architect role sits in the Product & Engineering organization and reports to the Head of Engineering for the firm's flagship analytics platform. It is a senior individual contributor position that acts as a trusted partner to engineering leadership, owning the quality of end-to-end solution design and the platform's architectural direction.
You'll be the bridge between business intent and technical execution — turning complex product requirements into designs engineering teams can build with clarity, and challenging assumptions across product, quant, and engineering discussions before implementation begins.
The Role
- Translate business and product requirements into clear, end-to-end solution designs with product management, business analysts, development leads, and architects.
- Decompose complex features and workflows into implementable solutions, surfacing business rules, dependencies, edge cases, cross-functional impacts, and delivery risks.
- Drive development readiness by refining requirements, user stories, process flows, and acceptance criteria before engineering execution.
- Produce design artifacts — logical designs, workflow definitions, dependency maps, and interface specifications — using prototypes, scripts, or mockups where helpful.
- Act as steward of the platform architecture: keep ownership and system boundaries clear, design APIs and integrations thoughtfully, and drive reusable, consistent capabilities.
- Assess impact across data models, analytics, workflows, integrations, deployment, upgrade paths, and future platform evolution.
- Address non-functional requirements including scalability, performance, maintainability, configurability, backward compatibility, and SaaS readiness.
- Facilitate design decisions across product, financial engineering, architecture, and engineering, and help shape how AI is incorporated into product workflows.
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What We're Looking For
- A bachelor's degree in finance, mathematics, computer science, engineering, or a related field; an advanced degree or CFA, FRM, or PRM is a plus.
- 10+ years in financial technology, capital markets software, quantitative analytics, product development, financial engineering, business analysis, or solution architecture.
- Strong understanding of the derivative trade lifecycle from a front, middle, and/or back-office perspective.
- Familiarity with pricing, valuation, risk, P&L, VaR, stress testing, market and reference data, security master, trade capture, and position management.
- Knowledge of financial product structures, curve building, valuation and pricing models, and risk analytics across asset classes such as fixed income, credit, equities, commodities, and FX.
- Experience interpreting customer, product, or business needs and translating them into functional and technical requirements.
- Practical fluency across APIs, databases, data models, integrations, cloud services, microservices, and software delivery.
- Intermediate scripting or prototyping skills, preferably in Python.
- Excellent communication and documentation skills, with the ability to record assumptions, decisions, trade-offs, and risks — and to work across multiple geographies.
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This could suit...
product architects, financial engineers, business analysts, or solution architects with a capital markets or derivatives technology background who want to operate at the intersection of product, quant, and engineering.
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