CommuniTech Recruitment Group
Front Office Investment Risk Senior Business Analyst. Asset Management. 6 month rolling contract. £800-900/ Day Inside IR35 PAYE. Hybrid 3 days a week in Central London office.
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Front Office Investment Risk Senior Business Analyst. Asset Management. 6 month rolling contract. £800-900/ Day Inside IR35 PAYE. Hybrid 3 days a week in Central London office.
Front Office Investment Risk Senior Business Analyst Asset Management – 6-Month Rolling Contract • £800–£900/Day • Inside IR35 PAYE • Hybrid (3 Days/Week in Central London)
About the Team
The Front Office Investment Risk Team is developing cutting-edge cloud-native applications while maintaining systems supporting legacy processes. This high-performing Agile team specialises in products used by:
- Risk Managers
- Portfolio Managers
- Investment Leadership
- Quantitative Analysts
Core to their approach is product discovery, user insight and outcome-driven development, bridging strategic initiatives with business-as-usual (BAU) support—whether designing new capabilities or resolving data discrepancies in production. They thrive on collaboration, speed and delivering tangible value to end-users.
The Role
Your client seeks a hands-on, product-centric Business Analyst to embed in their delivery teams, shaping both strategic direction and tactical execution. This isn’t traditional requirements-gathering—expect to:
- Work directly with engineers, business stakeholders and quant teams,
- Drive user discovery, define business logic, and own end-to-end product lifecycles,
- Build deep expertise in data models, risk analytics and production systems.
You’ll participate in the full Product Delivery Lifecycle, including:
- Business analysis and requirements definition
- Agile product ownership & backlog management
- Scrum-based project leadership
- Production support & release coordination
- End-user training & troubleshooting
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The role demands influence, technical curiosity and an ability to navigate complex systems—balancing quantitative risk logic with smooth stakeholder communication.
Core Skills & Competencies
Essential Communication & Collaboration
- Outstanding written/verbal communication—tailoring messaging for technical vs. business audiences.
- Stakeholder management: Balancing competing demands, building trust across hierarchy levels, and diplomatic conflict resolution.
Analytical & Technical Proficiency
- Data skills: Proficient in SQL, Excel, and Python; comfortable with Jira (backlog) and Confluence (documentation).
- Agile lifecycle expertise: Full delivery loop—discovery → refinement → release → feedback.
- Product mindset: Discovery, prioritisation, backlog refinement, and value articulation (linking technical work to business outcomes).
Planning & Problem-Solving
- Translate evolving business needs into clear features/epics/user stories.
- Maintain accurate backlogs, initiation documents, and definition of done.
- Adaptability: Navigate shifting stakeholder priorities with agility.
- Root-cause analysis: Investigate data pipelines, API responses and system workflows to resolve issues.
Key Responsibilities
- Requirement Elicitation: Work as an ongoing SME with Agile teams, translating business logic into actionable technical requirements.
- Feature Ownership: Distribute tasks between dev and support teams; ensure seamless delivery via epics, user stories, and acceptance criteria.
- Product Vision: Document current/desired states; create roadmaps and justify prioritisation trade-offs to leadership.
- End-User Engagement:
- Resolve queries, provide training, and train-the-trainer programs.
- Identify gaps in data/processes (e.g., via SQL, API calls) and recommend fixes.
- Release Management: Coordinate go/no-go decisions, create release notes, and validate post-launch outcomes.
- Continuous Improvement:
- Gather user feedback; support engineers with empirical data-backed design decisions.
- Escalate risks/dependencies proactively.
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Ideal Candidate
Experience & Domain Knowledge
A senior Business Analyst with:
- Front Office Investment Risk or adjacent domains (e.g., attribution, portfolio analytics, performance measurement).
- Confidence in modern portfolio theory, VaR, sensitivities, stress testing—or rapid learning ability in these areas.
Cultural Fit
- Thrives in a fast-paced, ambiguous environment with concurrent priorities.
- Proactive & curious: Self-starts investigations; queries data/configurations/processes independently.
- Tech-savvy: Open to exploring AI tooling, automation, and modern data architectures.
- Influential yet collaborative: Can challenge ideas constructively without undermining team input.
Next Steps: Applicants – send CV for immediate consideration.
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