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For Companies At a Glance
- Tasks: Join our market data team to analyse and improve financial data for risk calculations.
- Company: LSEG is a global leader in financial markets, driving stability and growth for over 300 years.
- Benefits: Enjoy healthcare, retirement planning, paid volunteering days, and a commitment to wellbeing.
- Why this job: Be part of a dynamic culture that values individuality and encourages innovative ideas.
- Qualifications: Strong numeracy skills with a degree in finance, mathematics, or related fields required.
- Other info: We embrace diversity and are committed to sustainability in our operations.
The predicted salary is between 43200 - 72000 £ per year.
LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a commitment to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs.
This position is within LSEG Post Trade Solutions. The applicant will be part of the Acadia market data team and based in London. They will work closely with colleagues in the operations and development functions in the US, Ireland, UK, Philippines and Germany. The market data team at Acadia is responsible for construction, validation, maintenance and analysis of market data and reference data used in Acadia's risk calculation and backtesting services. We support OTC portfolios across rates, FX, equity, credit, commodities and fixed income securities. Market data is key to our pricing, and we engage closely with the quant development, DB development, support, and reconciliations teams to drive quality and develop our products.
Role Responsibilities
- Construction, deployment and testing of new market data.
- Documentation of models.
- Monitoring data quality.
- Assessing quality of derivative pricing.
- Developing and implementing improvements to data modelling.
- Developing and implementing improvements to our automation in Python.
- Developing and implementing improvements to our pricing software in C++.
Experience and Qualifications Required
- Strong understanding of financial derivatives pricing.
- Competent with Python scripting (pandas, numpy, requests/http).
- Competent with continuous integration processes.
- Familiar with C++.
- Ability to research and present models.
- Familiarity with at least one market data vendor (Refinitiv/LSEG D&A esp.).
Candidate Profile
- Highly numerate with a degree or equivalent experience in quantitative finance, mathematics, statistics or science-related fields.
- Financial markets and products experience, either within risk management, product control or middle office environments (e.g. fund administration).
- Experience of product development lifecycle.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law.
Senior Market Data Analyst - London Stock Exchange Group employer: London Stock Exchange Group
Contact Detail:
London Stock Exchange Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Market Data Analyst - London Stock Exchange Group
✨Tip Number 1
Familiarise yourself with the specific market data vendors mentioned in the job description, such as Refinitiv and LSEG D&A. Understanding their platforms and how they integrate with financial data will give you an edge during discussions.
✨Tip Number 2
Brush up on your Python skills, particularly with libraries like pandas and numpy. Being able to demonstrate your proficiency in automating data processes or performing data analysis can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the financial markets sector, especially those who work with derivatives pricing. Engaging in conversations about current trends and challenges can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your experience with the product development lifecycle. Be ready to share specific examples of how you've contributed to projects, particularly in risk management or middle office environments, as this aligns closely with the role.
We think you need these skills to ace Senior Market Data Analyst - London Stock Exchange Group
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in financial derivatives pricing, Python scripting, and familiarity with market data vendors. Use specific examples that demonstrate your skills and achievements related to the role.
Craft a Compelling Cover Letter: Write a cover letter that connects your background in quantitative finance or related fields to the responsibilities of the Senior Market Data Analyst position. Emphasise your understanding of financial markets and your ability to contribute to LSEG's goals.
Showcase Technical Skills: In your application, clearly outline your technical skills, particularly in Python and C++. Mention any projects or experiences where you have successfully implemented improvements in data modelling or automation.
Highlight Collaborative Experience: Since the role involves working closely with teams across various locations, include examples of past collaborative projects. Demonstrating your ability to work in diverse teams will show that you fit well within LSEG's culture.
How to prepare for a job interview at London Stock Exchange Group
✨Understand Financial Derivatives Pricing
Make sure you have a solid grasp of financial derivatives pricing, as this is crucial for the role. Be prepared to discuss your understanding and any relevant experiences you've had in this area.
✨Showcase Your Python Skills
Since the role requires competence in Python scripting, brush up on your skills with libraries like pandas and numpy. Be ready to demonstrate how you've used these tools in past projects or roles.
✨Familiarise Yourself with Market Data Vendors
Having familiarity with market data vendors such as Refinitiv or LSEG D&A will give you an edge. Research their services and be prepared to discuss how you've interacted with them in previous roles.
✨Emphasise Collaboration and Communication
The position involves working closely with teams across various locations. Highlight your experience in collaborative environments and your ability to communicate effectively with diverse teams.
