Job Description

Technical Business Analyst - Derived Pricing

Location: London
Job Type: Contract
Industry: Business Transformation

London - Hybrid (3 days on-site).

6 Months

UMBRELLA only

PCD320043

Role overview

We are currently seeking an ambitious individual to join our clients team as Technical Business Analyst for Derived Pricing working together with colleagues to define, manage and achieve strategic business outcomes.
This role is created in the context of increasing pace in the implementation of the multi-year Data strategy for Markets and Securities Services, and sits in the Data Operations Product team, alongside other data domain aligned Product owners. The role reports to the Head of MSS Pricing Product.
Role purpose

The Technical Business Analyst will use their SME knowledge of pricing, Enterprise Data Management (EDM) software and data governance to support the Head of MSS Pricing Product to deliver a best-in-class pricing offering for MSS.
The output of this role will ensure the provision of a high-quality data sourcing, mastering, distribution, and control service for MSS Pricing needs.
In this role, the individual will:

Function as the point contact for technical questions from pricing consumers and other stakeholders covering the end-to-end pricing process from sourcing, mastering and derivation to publication.
Apply a technical lens to change requests to ensure the chosen solution is appropriate, feasible from both a technical and cost perspective, maintainable and meets the client data governance standards.
Provide training and support to the Deriving Pricing Operations team to ensure they have the right level of technical knowledge and skill on all aspects of the derivation process to perform their role to a high standard.
Create innovative solutions to difficult problems and ensure services and outcomes are developed in line with long-term data consumers' business needs.
Define user stories and assist the product owner prioritise the book of work throughout the agile project lifecycle in conjunction with change & delivery leads and in partnership with consumers across the lines of business.
Contribute to ensure the Data Product team is seen as a thought leader for the design of effective data services, and as delivering tangible improvements for the MSS business.
Role-model the Data & Reg Reporting vision, to instil a culture that inspires and engages people with the clients Values and goals as the basis of inclusive, high-performing, customer-centric teams.
Knowledge

Deep understanding of instrument pricing, derivations and market data processes across asset classes.
Knowledge of derivatives, bonds and securities and their quoting conventions.
Strong knowledge of Enterprice Data Management (EDM) systems preferably the Gresham Prime EDM platform.
Experience of LSEG Datascope Select and Bloomberg Per-Security offerings is an advantage.
Experience of using quant libraries to perform pricing derivations is an advantage.

Experience

Proven ability to understand and resolve complex pricing issues.
Proven track record of training and supporting team members to understand and resolve technical issues.
Proven track record of solution design for complex data and system architecture challenges.
Proven ability in working across multi-disciplinary and multi-cultural, diverse work environments.
Strong analytical background and a track record of working with large and complex data sets.

Key Skills

Proven subject-matter expertise - demonstrates a thorough understanding of derived pricing.
Have excellent presentation, communication, and interpersonal skills with a proven ability to communicate effectively and confidently at all levels.
Demonstrate a strong 'can do' attitude, high level of motivation to solve difficult problems, meet aggressive deadlines and targets.
Well-developed planning and time management skills to progress multiple initiatives in parallel.
Be tenacious in approach with the ability to challenge the norm / present viable alternative approaches.
Have a high level of drive and intrinsic motivation to ensure successful delivery of initiatives.
Conceptual and Logical data modelling.
Functional / Technical story writing.
API analysis and design
Artificial Intelligence analysis and design experience (Semantic modelling, Meta Data design, Knowledge graph experience).