Technical Client Services / Implementation Analyst - Risk and Python
Global Financial Services Firm is hiring for a Technical Client Implementation Analyst / Specialist with strong analytical, in-depth Derivatives / Margining experience and knowledge and client services skills to be based in their London office. Financial Services experience is essential, with a strong understanding of the trading lifecycle, as well as technical skills in Python (writing queries and scripts) and APIs. This is a permanent role. They have a hybrid set-up of 2-3 days in the office. Salary ranges between £50K - £70K, depending on experience.
This role plays a key part in ensuring smooth client onboarding and implementation, while supporting ongoing client success. You’ll be involved in coordinating technical integrations, assisting with solution rollouts, and providing hands-on support throughout the client lifecycle.
Responsibilities include:
- Lead small to large-scale implementation projects, creating and maintaining detailed implementation plans.
- Manage stakeholder communication and reporting, including task logs, RAID logs, and project trackers.
- Support technical integration of client data using APIs, SFTP, and UI tools, handling formats such as JSON, XML, and CSV.
- Analyse and debug large, complex datasets, identifying errors and ensuring data integrity.
- Test and validate client workflows post-integration, ensuring functionality aligns with requirements.
- Deliver client training and provide user documentation tailored to workflows.
- Collaborate with Development and Product teams to highlight enhancements and new feature requests.
- Escalate client concerns where necessary and proactively suggest process improvements within the Client Services team.
Skills & Experience:
- Proven project management experience using Smartsheets or MS Project.
- Strong organisational skills with the ability to manage multiple workstreams in parallel.
- Strong Python skills including writing scripts and queries.
- Experience working with and manipulating large datasets.
- Familiarity with APIs, SFTP and data integration.
- Experience using automation tools such as SoapUI or Postman.
- Ability to produce high-quality client-facing documentation.
- Proficiency with MS Word, Excel, PowerPoint.
Desirable:
- Knowledge of financial instruments - Prime Brokerage experience would be an added advantage.
- Familiarity with ETL layers and data transformations.
- Exposure to ITIL, Agile, or structured change environments.
Please apply for immediate interview!