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.