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- Tasks: Lead market data sourcing, analytics, and reporting for financial markets.
- Company: Join an international bank's Market Data Analytics Team in Traded Risk Management.
- Benefits: Enjoy a dynamic work environment with opportunities for global collaboration.
- Why this job: Be at the forefront of market data excellence and impact financial decision-making.
- Qualifications: Must have a UK 2:1 degree in a quantitative subject and proficiency in Python and SQL.
- Other info: Experience with Azure DevOps and familiarity with regulatory frameworks is a plus.
The predicted salary is between 43200 - 72000 £ per year.
My client are an international bank who are looking to hire in their Market Data Analytics Team within the Traded Risk Management (TRM) department. This team supports various businesses in Financial Markets and Group Treasury, handling all aspects of market data for market risk, product control, and counterparty credit risk.
They are looking to hire a senior market data VP to manage market data sourcing, transformations, models, and proxies. This role involves developing dashboards, data analytics, and reporting tools, forming a market data centre of excellence within TRM.
Develop and maintain derived market data and proxy models for multiple asset classes.
Analyse large data sets, processes, and technology systems.
Coordinate and implement market data for internal initiatives and regulatory changes.
Resolve market data queries from stakeholders including Trading, Risk, and Model Validation.
Collaborate globally across the market data life-cycle, from requirements to release management.
Work closely with TRM teams to meet their market data needs.
Coordinate agile projects with IT developers and system support teams.
Ensure high market data quality standards.
Close out market data-related findings with Model Validation.
Perform daily market data validation and reporting.
Experience with large market data sets and associated technologies.
Proficiency in Python and SQL.
Knowledge of multiple asset classes, their risks, and pricing.
Understanding of market risk metrics (VaR, HVaR, IRC) and market risk capital requirements.
Interest in financial markets policies, guidelines, and regulations.
Familiarity with regulatory frameworks.
Experience with Azure DevOps, Git, and systems like Summit, Murex, Bloomberg, Superset DAP, Reuters, ActivePivot
Graduate (UK 2:1 degree) in a quantitative subject (e.g., Mathematics, Computer Science, Physics, Chemistry).
Market Data Analyst - Market Risk VP employer: Pure Search
Contact Detail:
Pure Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Market Data Analyst - Market Risk VP
✨Tip Number 1
Make sure to showcase your experience with large market data sets and the technologies associated with them. Highlight specific projects where you've successfully managed data sourcing, transformations, or developed dashboards.
✨Tip Number 2
Demonstrate your proficiency in Python and SQL by discussing relevant projects or tasks where you utilized these skills. This will show that you have the technical expertise needed for the role.
✨Tip Number 3
Familiarize yourself with the regulatory frameworks and market risk metrics mentioned in the job description. Being able to discuss these topics intelligently during interviews will set you apart from other candidates.
✨Tip Number 4
Network with professionals in the financial markets sector, especially those who work in market data analytics. Engaging with industry peers can provide valuable insights and potentially lead to referrals.
We think you need these skills to ace Market Data Analyst - Market Risk VP
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Highlight your experience with market data sourcing, transformations, and analytics in your application.
Tailor Your CV: Customize your CV to reflect your relevant skills and experiences, particularly in Python, SQL, and handling large market data sets. Emphasize your familiarity with financial markets and risk metrics.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the specific needs of the Market Data Analytics Team. Discuss your experience with regulatory frameworks and your ability to collaborate across teams.
Highlight Technical Skills: In your application, make sure to showcase your technical skills, especially your proficiency in tools like Azure DevOps, Git, and any relevant systems such as Bloomberg or Murex. This will demonstrate your readiness for the role.
How to prepare for a job interview at Pure Search
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and SQL during the interview. Be prepared to discuss specific projects where you've utilized these skills, especially in handling large market data sets.
✨Understand Market Risk Metrics
Familiarize yourself with key market risk metrics such as VaR, HVaR, and IRC. Be ready to explain how these metrics apply to the role and how you have used them in past experiences.
✨Demonstrate Collaboration Experience
Since the role involves working closely with various teams, prepare examples that showcase your ability to collaborate effectively across departments. Highlight any experience coordinating agile projects with IT developers.
✨Stay Updated on Regulatory Frameworks
Show your interest in financial markets policies and regulations. Discuss any relevant knowledge you have about regulatory frameworks and how they impact market data management.
