The initial focus is hands on: analysing front‑office sales data, understanding both data flows and how datasets are joined across systems, and defining practical strategies to address issues that affect FIC sales teams
Job Summary
The initial focus is hands on: analysing front‑office sales data, understanding both data flows and how datasets are joined across systems, and defining practical strategies to address issues that affect FIC sales teams.
You will have strong domain knowledge and the ability to work across organisational boundaries to solve complex, cross‑system data problems.
We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them.
Matching Summary
The initial focus is hands on: analysing front‑office sales data, understanding both data flows and how datasets are joined across systems, and defining practical strategies to address issues that affect FIC sales teams.
Skills & Requirements
Must-have
FIC sales data analysis
Data lineage and quality
Cross-system data problems
Front-office investment banking data
Fixed Income & Currencies domain expertise
Data architecture and modelling principles
Querying large-scale datasets
Nice-to-have
Comfortable with ambiguity
Evidence-driven problem solving
Collaborative, delivery-focused environment
AI and Machine Learning concepts
Continuous learning culture
Key Requirements
Senior individual contributor position
Hands-on Business Data Analyst track record
Advanced experience querying, exploring, and investigating large-scale datasets
Familiarity with scripting languages (e.g., Python)