About Citco:
The market leader. The premier provider. The best in the business. At Citco, we’ve been the front-runner in our field since our incorporation in 1948 led to the evolution of the asset servicing sector itself. This pioneering spirit continues to guide us today as we innovate and expand, push beyond the boundaries of our industry, and shape its future. From working exclusively with hedge funds to serving all alternatives, corporations and private clients, our organization has grown immensely across asset classes and geographies. For us, this progress is a pattern that we’ll only maintain as we move forward, always prioritizing our performance. So for those who want to play at the top of their game and be at the vanguard of their space, we say: Welcome to Citco.
About the Team & Business Line:
Fund Administration is Citco’s core business, and our alternative asset and accounting service is one of the industry’s most respected. Our continuous investment in learning and technology solutions means our people are equipped to deliver a seamless client experience.
Why this role exists (Ops‑embedded, high‑impact digital transformation)
We are advancing the digital architecture that powers Market Risk, Performance, and Regulatory reporting by re‑engineering the underlying data, workflow, and analytics layers used across the organization. As reporting volumes, regulatory expectations, and data complexity continue to increase, we are investing in a modern, scalable backbone that strengthens controls, automates repeatable processes, and enables near‑real‑time insights for operational teams.
This role sits in Operations but is deeply technical: you will design and implement backend services, API‑driven workflows, data processing pipelines, and AI‑enabled components that support end‑to‑end reporting flows. You will work across Python‑based services, React interfaces, retrieval‑augmented generation (RAG) pipelines, and orchestration frameworks such as LangGraph to encode business logic, digitize validations, and operationalize analytics.
Partnering with IT for infrastructure, security, and cloud governance, you will focus on the application logic, data correctness, performance, and reliability of the operational ecosystem. Your contributions will directly shape how data is sourced, validated, transformed, and consumed—creating a robust, auditable, and scalable technical foundation for the next wave of reporting modernization.
Your work will directly influence how our analysts, reviewers, and leadership teams interact with data, make decisions, and deliver value—creating a long‑term, scalable foundation for our reporting ecosystem.
Role mix: ~70% hands‑on build & AI enablement (Python/React, APIs, RAG, orchestration) and ~30% functional/product leadership (reporting domain, process design, controls, stakeholder mgmt)
Responsibilities
What you’ll do
Build & AI Enablement (hands‑on, in partnership with IT)
Implement backend services (Python + Django/FastAPI/Flask) and React UI for operational workflows and dashboards; design secure REST APIs and data access.
Deliver enterprise‑ready RAG: document loading, chunking, embeddings, retrieval, citations, and evaluation; orchestrate agentic workflows with LangGraph/LangChain.
Integrate AWS Bedrock models (e.g., Claude, Llama, Titan) via approved patterns; apply guardrails, prompt governance, and grounding to minimize hallucinations.
Work with IT on hosting and controls (e.g., AWS accounts provided by IT, IAM roles, Secrets Manager/KMS, CloudWatch logging) while keeping app logic and product cadence within Ops.
Establish pragmatic CI/CD and testing (unit/integration/API tests), code reviews, and release calendars synchronized to reporting cycles.
Functional & Product (Ops‑owned)
Translate Market Risk, Performance, and Regulatory reporting needs into clear product epics, user stories, acceptance criteria, and a release plan aligned to reporting calendars.
Map current operational processes (data sourcing, validations, sign‑offs, controls) and design digitized workflows that reduce cycle time and defects.
Curate and maintain methodology and policy content (e.g., AIFMD/Form PF notes, OPERA calculations, performance methodology) to power AI‑assisted Q\&A with citations.
Run UATs, demos, trainings; gather feedback; ensure documentation (functional specs, SOPs, control narratives) and audit readiness.
Track and report value metrics: turnaround time, error/defect leakage, rework, % queries resolved by the AI assistant, user satisfaction.
Technical Skills (Required)
Programming & APIs
Strong hands‑on experience in Python, JavaScript (ES6+), SQL, and building REST APIs & modular services.
Experience with Django/FastAPI/Flask; secure API design (authn/authz, rate‑limits), and structured logging.
Frontend Development
React with modern component patterns (Hooks); responsive dashboards and form‑heavy Ops workflows.
Data & Storage
Relational databases (PostgreSQL/MySQL) and at least one NoSQL store (e.g., DynamoDB or MongoDB).
Familiarity with vector search for RAG (e.g., pgvector, Amazon OpenSearch Vector Engine, Pinecone/Weaviate optional).
AI & GenAI (Enterprise)
Integration with AWS Bedrock (e.g., Claude/Llama/Titan) using secure enterprise patterns.
LangGraph/LangChain for orchestration and agentic workflows (tool use, multi‑step reasoning, retrieval).
Design and implementation of RAG pipelines (document loaders, chunking, embeddings, retrieval, citation generation, evaluation).
Prompt engineering, grounding, and safety/red‑teaming practices relevant to regulated reporting contexts.
Cloud, Operations & Tooling (in partnership with IT)
Comfort deploying to AWS in collaboration with IT (e.g., EC2, API Gateway, S3, CloudWatch, Secrets Manager/KMS).
Docker for packaging; Git workflows; pragmatic CI/CD (GitHub/GitLab/Bitbucket) aligned to change control.
Testing and API tooling: PyTest, Postman, Swagger/OpenAPI; working knowledge of Jira.
Security & Controls
Working knowledge of OWASP Top 10, secure coding, input validation, dependency scanning; partner with IT Security on scans/pen‑tests and remediation.
Understanding of data privacy and audit evidence requirements within regulatory reporting.
Domain Skills & Functional Competencies (Preferred but not mandatory)
Understanding of Market Risk concepts (positions/exposures, factor sensitivities, stress/what‑if frameworks) and Performance measurement at a practical level (link to data lineage, reconciliations, and disclosures).
Exposure to Regulatory reporting—AIFMD, Form PF, OPERA, Factsheets—including data requirements, validation rules, sign‑off/attestation flows, and methodology notes management.
Strong sense of controls, auditability, and documentation (SOPs, run‑books, calculation explainers).
Ability to translate analyst and reviewer needs into clear user journeys, UI mocks, and reporting workflows.
Qualifications
Qualifications
6–10 years in Python development
1–3 years leading small squads or workstreams (backlog, ceremonies, code reviews, release mgmt).
Financial services experience preferred; Reporting exposure is a plus (not mandatory) with willingness to learn quickly.
Excellent communication—able to bridge operations, risk SMEs, and engineers.
Our Benefits
Your well being is of paramount importance to us, and central to our success. We provide a range of benefits, training and education support, and flexible working arrangements to help you achieve success in your career while balancing personal needs. Ask us about specific benefits in your location.
We embrace diversity, prioritizing the hiring of people from diverse backgrounds. Our inclusive culture is a source of pride and strength, fostering innovation and mutual respect.
Citco welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection.
