Job Description
The Market Data Analytics Team is part of the Traded Risk Management (TRM) department,
supporting a wide area of businesses within Financial Markets and Group Treasury. The Market
Data Analytics team is responsible for all aspects of market data used by the TRM department
including market risk, product control, and counterparty credit risk.
Our client is looking for a Senior Market Data Analyst/ Business Analyst to join the Market Data Analytics Team (MDAT) supporting a team focused on the management of market data sourcing,
transformations, models and proxies, as well as the development of dashboard and data analytics
and reporting tools, forming a market data centre of excellence within TRM. We are looking for a
candidate who has proven hands on experience in managing projects, analysing and visualising
large sets of market data, as well as a background in Market Risk and some derivatives pricing
knowledge.
Job Specification
Main Duties and Responsibilities of Role:
Developing and maintaining derived market data and proxy models for multiple asset
classes
Conducting analysis on large data sets, processes and technology systems
Coordinating and implementing market data used in market risk-related internal initiatives
as well as upcoming regulatory changes and strategic market data programmes
Being a point of contact to resolve market data queries from our stakeholders including
Trading, Risk and Model Validation
Collaborating with the global team across the full market data lifecycle including
requirements, architecture, implementation, testing, and release management
Working closely with the TRM teams to understand and deliver on their market data
requirements
Co-ordinating agile projects with IT developers and system support teams to develop and
maintain high market data quality standards on behalf of TRM
Working closely with Model Validation to close out market data related findings
Daily market data validation & reporting, defined by the Market Data Replacement & Proxy
Policy
Candidate Profile
Qualification/Education
Essential: Graduate (at least UK 2:1 degree) in a quantitative subject (i.e. Mathematics,
Computer science, Physics, Chemistry). Economics/Finance degrees considered
with a quantitative focus
Desirable: Professional qualification (e.g., PRM, FRM, CQF)
Experience/Knowledge
Essential:
Statistical and mathematical background
Experience in dealing with large market data sets and associated
technologies
Experience writing in Python to build solutions particularly with large
datasets
SQL experience
Good quantitative level of experience with several asset classes, their risks
and pricing
Strong level of understanding of quantification of market risk metrics (VaR,
HVaR, IRC, etc.) and market risk capital requirements
Desirable:
Experience with and keen interest in financial markets relevant policies,
guidelines and regulations
Understanding of regulatory frameworks as applied internally
Closing out model validation and audit findings
Azure DevOps and Git version control
Experience with systems such as Summit, Murex, Bloomberg, Superset
DAP, Reuters, ActivePivot.is also a plus
Personal Competencies
Essential:
Strong quantitative problem solving skills (this will be tested at interview)
Leadership skills which ideally included managing direct reports in a
previous role
Strong communication skills: Position involves regular interaction with
colleagues in varying degrees of seniority and understanding of new rules
and processes. Candidate should be able to adapt communications to
target audiences ranging from senior executives to junior colleagues
involved/impacted by new rules and processes
Self-starter, proactive, results driven and flexible, has the ability to adjust
quickly to new circumstances
Must be capable of working and delivering independently using time very
efficiently under tight timelines.
Team player with a mindset of empowering others
Delivery focused
Hands on approach with good analytical skills
Good verbal and written communication skills
Fluent in English