At a Glance
- Tasks: Analyse data and develop risk analytics using Python, SQL, and Power BI.
- Company: Join Lombard Odier, a leading global wealth and asset manager focused on sustainability.
- Benefits: Competitive salary, diverse teams, and opportunities for personal and professional growth.
- Why this job: Make an impact in the financial industry while leveraging cutting-edge technology.
- Qualifications: Degree in Mathematics, Data Science, Finance or Statistics; experience in data analysis.
- Other info: Dynamic environment with a strong focus on innovation and diversity.
The predicted salary is between 36000 - 60000 £ per year.
A career at Lombard Odier means working for a renowned global wealth and asset manager, with a strong focus on sustainable investing. An innovative bank of choice for private and institutional clients, our independently owned Firm is one of the best-capitalised banking groups in the world, managing close to CHF 300 billion and operating from over 25 offices across 4 continents.
With a history spanning over 225 years, Lombard Odier is an investment house providing a comprehensive offering of discretionary and advisory portfolio management, wealth services and custody. We also offer asset management services and investment strategies through Lombard Odier Investment Managers and provide advanced banking technology to other financial institutions.
In order to strengthen our Investment Risk team, we are looking for an Investment Risk Data Analyst. You will join a global business of more than 400 investment professionals and a network of 13 offices across Europe, Asia and North America. You will report to the Global Chief Risk Officer and support the Risk function by managing and analyzing data across platforms such as Bloomberg PORT and MARS, while ensuring data quality, developing risk analytics, and enhancing automation in risk management.
- Engagement with LOIM Investment Risk Managers and other primary stakeholders to design, develop and implement clear analytical solutions across all asset classes.
- Take ownership of risk and performance dashboards and underlying data sourcing processes.
- Help drive the migration of existing processes to automated processes and platforms in line with the team vision to increasingly leverage Artificial Intelligence.
- Management of existing data sets, ensuring the analytics tools are correctly sourcing data from data sources external to the immediate team.
- Maintaining risk calculations and process feeds to external calculators.
- Respond and prioritize ad-hoc requests for information as they arise.
- Challenge existing processes and data feeds with the wider LOIM-IT and data community.
You hold a Degree in Mathematics, Data Science, Finance or Statistics. You have experience in data analysis of large-scale, distributed data sets, in process automation. You are interested in the financial industry and have domain knowledge of investment and securities and/or Artificial Intelligence applications. Understanding of risk management concepts including VaR, stress testing, and scenario analysis. You are familiar with BI tools (ie Tableau), process workflow automation tools (ie Alteryx), programming languages (Python). You have strong analytical and data manipulation skills and excellent statistical modelling skills. Flexible and results-oriented, with excellent problem-solving skills.
Excellence drives us to be the best at what we do, while Innovation fuels our progress. Diversity, Equity and Inclusion are woven into the fabric of our Maison’s DNA, and we strive to ensure that our employees can fulfill both their personal and professional aspirations by encouraging internal mobility and individual upskilling programs. We firmly believe that building Diverse Teams contributes to our successes and to deliver on this, we actively embed Diversity, Equity and Inclusion in our business strategy. It is an exciting time to join our Teams.
Data Analyst - Python, SQL, Power BI in London employer: Lombard Odier
Contact Detail:
Lombard Odier Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Python, SQL, Power BI in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Lombard Odier on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your Python, SQL, and Power BI skills. Practice common data analysis scenarios and be ready to showcase your problem-solving abilities with real examples.
✨Tip Number 3
Show your passion for sustainable investing! Research Lombard Odier’s initiatives and be prepared to discuss how your values align with theirs during the interview. It’ll show you’re genuinely interested in the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team!
We think you need these skills to ace Data Analyst - Python, SQL, Power BI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with Python, SQL, and BI tools like Power BI. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data analysis and the financial industry. Let us know why you're excited about joining Lombard Odier and how you can contribute to our team.
Showcase Your Analytical Skills: In your application, don’t forget to showcase your analytical and problem-solving skills. Mention specific projects or experiences where you've successfully managed large data sets or automated processes. We love seeing real examples!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Lombard Odier
✨Know Your Data Tools
Make sure you brush up on your skills with Python, SQL, and Power BI. Be ready to discuss how you've used these tools in past projects, especially in data analysis and automation. Having specific examples will show that you can hit the ground running.
✨Understand Risk Management Concepts
Familiarise yourself with key risk management concepts like VaR, stress testing, and scenario analysis. Being able to explain these concepts clearly will demonstrate your understanding of the financial industry and how it relates to the role.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical and problem-solving skills. Think of scenarios where you've faced challenges in data analysis or process automation, and be ready to walk through your thought process and solutions.
✨Show Your Interest in Sustainable Investing
Since Lombard Odier has a strong focus on sustainable investing, do some research on their initiatives and be prepared to discuss why this matters to you. Showing genuine interest in their mission can set you apart from other candidates.