Current Jobs 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.

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Purpose of role:

• This Data Engineer is a senior individual contributor responsible for leading the design, delivery, and operational support of complex, business‑critical data pipelines integrating investment and financial market data across multiple vendors and platforms.
• In addition to hands‑on delivery, the role carries accountability for technical leadership, including mentoring junior and mid‑level Data Engineers, promoting best practices, and maintaining high standards of engineering quality across the team.
• This Data Engineer is expected to lead solution design discussions, drive stakeholder collaboration, and take ownership of complex integration and data engineering initiatives within a hybrid on‑premises and multi‑cloud environment.
• This role represents the natural career progression from Mid‑Level Data Engineer and is characterised by increased autonomy, higher delivery capacity, and responsibility for more complex or strategically important work. It carries the accountability for the technical outcomes of delivery and has a career progression towards the Lead Data Engineer or Data Architect.

Duties and responsibilities:
Advanced Data Engineering & Solution Delivery

• Lead the design and implementation of complex, large‑scale data pipelines integrating market, reference, and investment data.
• Solve advanced data engineering challenges, including high‑volume processing, complex transformations, reconciliation, and performance optimisation.
• Ensure delivered solutions are scalable, resilient, secure, and fit for purpose in a regulated financial environment.

Technical Leadership & Standards

• Act as a technical authority within the Data Engineering team, promoting best practices in coding, testing, deployment, and operational support.
• Review designs, code, and implementations produced by junior and mid‑level engineers to ensure quality and consistency.
• Contribute to the evolution of data engineering standards, patterns, and reusable frameworks.

Mentoring & Capability Development

• Coach and mentor junior and mid‑level Data Engineers in data engineering techniques, tools, and the firm’s technology stack.
• Provide guidance on problem‑solving approaches, solution design, and operational readiness.
• Support the professional growth and technical maturity of the broader Data Engineering function

Stakeholder Leadership & Collaboration

• Lead technical engagement with business stakeholders, architects, and analysts to refine requirements and shape viable data engineering solutions.
• Translate complex business and regulatory requirements into clear technical designs and delivery plans.
• Act as a trusted technical partner to front‑office, middle‑office, and back‑office stakeholders.

Platform, Architecture & Governance Alignment

• Work closely with Data Architects and IT Architects to ensure solutions align with enterprise architecture, integration patterns, and data models.
• Ensure pipelines meet data governance, lineage, auditability, and regulatory expectations.
• Balance delivery speed with control, resilience, and long‑term maintainability.

Operational Excellence

• Take ownership of production pipelines, ensuring monitoring, alerting, and support processes are in place.
• Lead root‑cause analysis of complex production issues and implement durable fixes.
• Drive continuous improvement in pipeline reliability, performance, and supportability.

Required experience:

• 8–10 years’ experience in data engineering within complex enterprise environments.
• Track record of leading the delivery of complex data integration initiatives.
• Modern programming skills (high or low level) in Data Integration frameworks such as Synatic, n8n or similar, or, Python, Java or JavaScript.
• Advanced experience with ETL/ELT frameworks, orchestration tools, and scheduling platforms.
• Solid understanding of hybrid on‑premises and cloud‑based data architectures (AWS).
• Strong understanding of integration patterns, performance optimisation, and data quality frameworks.

Advantageous experience: 

• Financial services experience (asset management, fund services, banking, insurance) in a similar role, or at a vendor provisioning services to this industry.
• Experience working with AWS technology.

Required Qualifications:

• Tertiary qualification in Computer Science, Information Systems, Information Technology, Engineering, or similar.
• AWS certifications advantageous.

Key competencies:

• Demonstrated ability to mentor and uplift less‑experienced engineers.
• Strong stakeholder engagement and facilitation skills.
• Clear and structured communication, both technical and non‑technical.
• High level of ownership, accountability, and attention to detail.
• Deep understanding of data engineering solutions applicable to investment data domains (e.g., pricing, reference data, positions, trades, NAVs).
• Familiarity with front‑office, middle‑office, and back‑office data flows.
• Awareness of regulatory, audit, and risk considerations impacting financial data processing.
• Advanced skill with engineering data pipelines.

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Job Description
All applications include the following mandatory supporting documents:

• CV highlighting project delivery experience within fund services, asset management, or financial services ICT, with measurable outcomes.
• One-page project summary describing a complex or high-stakes project you led — including scope, methodology applied, key challenges encountered, and quantifiable results achieved.

Duties and responsibilities:

• Project Delivery & Lifecycle Management - Own and drive full project lifecycle from initiation and planning through execution, go-live, and closure across technical, operational and regulatory programmes.
• Technical Project Coordination & SDLC Oversight - Manage software procurement, vendor implementations, system integrations, and in-house development projects; coordinate Business Analysts, Developers/Engineers, and System Architects through structured SDLC delivery.
• Stakeholder Management & Governance - Manage relationships across business operations, ICT/PMO leadership, and external vendors; facilitate steering committees, workshops, and regular project meetings.
• Scope & RAID Management - Manage scope change rigorously, and own RAID (Risks, Assumptions, Issues, Dependencies) logs with proactive mitigation and escalation.
• Vendor & Third-Party Management - Coordinate external software vendors, system integrators, and service providers; hold third parties accountable to contractual deliverables, SLAs, and quality standards.
• BAU Enhancement & Incident Oversight - Manage structured intake and prioritisation of BAU enhancement requests and significant incidents escalated from operations teams.
• Regulatory & Compliance Programme Execution - Lead delivery of regulatory change projects, working closely with Compliance, Legal, and ICT teams to ensure obligations are met within prescribed timelines.
• PMO Reporting & Governance - Produce accurate and timely project status reports, executive dashboards, and portfolio-level MI for the Head of PMO, CTO and CIO.
• Risk, Issue & Dependency Management - Identify and actively manage project and cross-project risks, flagging interdependencies across the ICT portfolio in a structured and timely manner.
• Continuous Improvement & Lessons Learned - Embed structured lessons-learned processes at project closure; contribute to the ongoing development of PMO standards, templates and delivery practices.

Required experience:

• 8+ years' experience as a Project Manager within ICT supporting fund services, asset management, wealth management, or broader financial services operations in a technical capacity.
• Demonstrable track record of delivering technology-driven, operational and regulatory projects through full lifecycle - initiation, planning, execution, monitoring and closure.
• Practical, working understanding of fund services processes including fund accounting, transfer agency, settlements, custody, corporate actions, NAV calculation and fee billing.
• Experience managing SDLC projects - software procurement and selection, vendor implementations, system integrations, application development and post-implementation support transitions.
• Sufficient technical literacy to coordinate engineering teams, engage credibly with System Architects, review integration specifications, and proactively identify and manage technical risk; familiarity with APIs, middleware and ETL pipelines is advantageous.
• Solid experience managing projects, resource planning across multidisciplinary teams and structured RAID (Risks, Assumptions, Issues, Dependencies) management.
• Proven ability to produce high-quality project governance artefacts: project and delivery plans, RAID logs, status reports, change requests, steering committee packs and lessons-learned documentation.
• Experience working within regulated financial services environments; hands-on exposure to regulatory change programmes is an advantage.
• Proven track record engaging and managing stakeholders at all levels, including operational and technical teams as well as external vendors.
• Experience working alongside Business Analysts, Developers/Engineers, and System Architects within a structured ICT function or PMO.

Required Qualifications:

• Bachelor's degree in Finance, Business, Computer Science, Information Systems, or a related field.
• Formal project management certification: PRINCE2 (Practitioner) or PMP, and Agile/Scrum — a minimum of one active certification is required; a combination of methodologies is preferred.

Key competencies:

• Operational Expertise - Solid, credible understanding of fund administration operations and the domain systems that support them; able to engage meaningfully with business operations teams on process, workflow impact and system dependencies.
• Technical Fluency - Sufficient understanding of ICT infrastructure, application development, SDLC, and integration concepts to manage technical projects, coordinate engineering resources and identify risk without requiring close direction.
• Analytical - Strong structured thinking and root-cause problem-solving; data-driven approach to decision-making; ability to cut through ambiguity, prioritise competing demands and drive evidence-based recommendations under pressure.
• AI Literacy - Uses AI tools to streamline personal workflow and day-to-day tasks, and to support project delivery (reporting, documentation, risk analysis); applies critical judgement to AI outputs rather than accepting them at face value.
• Communication - Clear, concise written and verbal communication across technical and non-technical audiences; capable of producing executive-level reporting and steering committee packs and facilitating cross-functional workshops effectively.
• Stakeholder Management & Persuasion - Skilled at building trust and relationships across business, ICT, and vendor ecosystems; persuasive and confident in driving alignment across competing priorities and influencing outcomes without direct authority.
• Delivery-Oriented - Pragmatic, driven, and unwaveringly focused on measurable outcomes; comfortable managing complexity, removing blockers and holding teams accountable while maintaining productive working relationships.
• Self-Sufficient & Proactive - Takes initiative, anticipates issues before they escalate, and manages workload autonomously; exercises sound judgement and escalates appropriately without requiring hand-holding or close direction.
• Structured & Disciplined - Rigorous approach to planning, documentation, RAID management and governance; comfortable operating within regulated, audit-conscious environments and maintaining standards under delivery pressure.
• Team Player - Collaborative and constructive; contributes positively to a small, high-performing PMO and the broader ICT team culture; willing to roll up sleeves and support colleagues when the situation demands it.