Business Analyst — Fund Administration at Prescient

Job Description
All applications include the following mandatory supporting documents:

• CV highlighting asset administration projects and measurable outcomes.
• One-page case summary describing a specific asset servicing/process improvement or automation you led, including baseline metrics, solution, and results.
• Include any AI initiatives that led to efficiencies and cost savings.

Duties and responsibilities:

• Technical Requirements & Solution Design.
• Asset Administration Process Improvement.
• Requirements & Solution Design.
• AI & Intelligent Automation.
• Data & Reporting.
• Stakeholder Management.
• Testing & Implementation.
• Controls & Compliance.
• Continuous Improvement & Root Cause Analysis.
• Data Engineering Coordination.

Required experience:

• 5+ years’ experience as a Business Analyst, Systems Analyst, or similar within ICT supporting asset management and fund administration.
• Experience in fund accounting, transfer agency, or prime broker operations.
• Deep knowledge of settlements, custody, corporate actions, reconciliations, NAV support, and asset servicing.
• Experience with relevant investment administration / accounting software.
• Strong technical skills: SQL, data modelling, API design/REST, JSON/XML, experience specifying integrations with middleware, message queues, or ETL tools.
• Proven experience documenting requirements, data mappings, and test plans; comfortable writing user stories and acceptance criteria.
• Solid understanding of internal controls and audit processes; experience supporting internal/external audits.
• Some experience with cloud platforms and ML tooling (AWS) or close collaboration with cloud/ML teams.
• Hands-on exposure to ETL tools, workflow automation, or API-based integrations.
• Experience with working with AI in automation tasks to reduce time to delivery.

Required Qualifications:

• Bachelor’s degree in finance, Economics, Business, Computer Science, Information Systems or related field.

Key competencies:

• Operational expertise - deep practical understanding of securities lifecycle and settlement mechanics, trade capture, settlement lifecycle, custody, corporate actions, income processing, NAV support.
• Analytical - strong quantitative analysis, root-cause diagnosis, troubleshooting, and KPI-driven improvement focus.
• Technical fluency - able to translate business problems into technical designs and integration specifications.
• Communication - clear, concise technical documentation, executive summaries, and ability to run cross-functional workshops and bridge ICT and business stakeholders.
• Collaboration - builds credibility with trading, operations, custody, fund accounting, and vendor partners.
• Security & Controls mindset - evidence-driven approach to improve controls and reduce operational risk. Embeds security, auditability, and resilience into solution designs.
• Delivery-oriented - pragmatic and prioritises and drives technical delivery with measurable operational impact.
• AI literacy - define data/validation needs for ML, interpret model metrics, and specify monitoring requirements.