Senior Product Manager

Anyone interested can share your CV in the email jobs@hiringgo.com.

Key Responsibilities:

• Vision & roadmap:

  Define and communicate the product vision and roadmap for our risk modules, aligned to regulatory expectations.

• Risk management principles (ISO 31000):

  Articulate purpose, risk criteria, appetite/tolerances, and governance; design audit-ready processes.

• Risk problem framing:

  Use research, data, and risk insights to translate operational/model/climate (ESG) risk disciplines into clear, detailed requirements.

• Controls & effectiveness (CER):

  Map real-world controls to a Control Effectiveness Rating; design testing/attestation so evidence updates CER over time.

• Scoring logic:

  Define and maintain thresholds, banding, and decision rules for Inherent Risk → Residual Risk.

• Model design & calibration:

  Apply best-practice risk-model methodologies; define features, weights, and normalisation; run back-tests and sensitivity analysis; set cutoffs; monitor drift; document assumptions and data lineage.

• System design (risk):

  Understand and design features for RCSA, KRI/KCI thresholding, loss-event capture, issues/actions, control attestations, risk appetite & limits, and portfolio risk views.

• Regulatory & governance alignment

  : Ensure designs support ISO 31000, BCBS 239 (risk data aggregation/reporting), the three lines of defence, audit trails, segregation of duties, SOX-style controls, and privacy/security guardrails (e.g., ISO 27001/27701, PDPA/GDPR).

• Decisioning & model governance:

  Partner with risk SMEs and data teams to shape scoring/rules engines; ensure explainability, data lineage/metadata, and model governance (e.g., SR 11-7).

• Cross-functional delivery:

  Work with risk experts, engineering, design, and operations to ship high-quality solutions on time; keep scope crisp and outcomes measurable.

• Backlog & PRDs:

  Prioritise the backlog; write clear PRDs and user stories; manage requirements with Product Owners and engineering.

• Customer journeys & UX

  : Be the voice of the risk user—risk managers, first-line operators, auditors—ensuring fast triage, transparent rationale, and clean evidence.

• Stakeholder communications:

  Proactively communicate progress, risks, and tradeoffs across UK / Singapore / India time zones with concise, data-driven updates.

• Agile leadership

  : Support Agile ceremonies (PI/iteration planning, stand-ups, reviews); balance strategic thinking with hands-on prototyping, validation, and delivery.

Preferred Qualifications and Experience:

Required Skills & Qualifications

• 7–10+ years in Product Management or Business Analysis building risk / GRC / financialservices products.
• Industry experience in risk assessment (financial services, commodities, insurance).
• Proven ownership across the full product lifecycle (strategy → discovery → delivery → launch → iterate).
• Deep familiarity with risk-management concepts, including operational risk (RCSA, KRI/KCI, loss events, issues/actions, risk appetite).
• Experience aligning products to frameworks such as ISO 31000, BCBS 239, the three lines of defence, COSO, and data/privacy/security standards (ISO 27001/27701, PDPA/GDPR).
• Strong Agile delivery (Scrum/Kanban/SAFe) and backlog management; outcome-driven prioritisation.
• Ability to turn complex risk requirements into simple, testable stories and flows.
• Excellent stakeholder management across risk, compliance, and engineering.
• Strong understanding of digital products, customer journeys, UX principles, and datadriven decision-making.
• Strong organizational and prioritization skills, able to balance short-term needs with longterm strategy.

Additional Skills as Plus

• Agile certification (SAFe or equivalent).
• Broad knowledge of digital product trends and their application in regulated environments.
• Proven delivery in regulated sectors (Financial Services, Risk, etc.).
• Willingness to act as Scrum Master when needed.
• Strong analytical and problem-solving skills, high attention to detail, and a bias for impact.