Data Analyst Course Programme

Itonlinelearning; City Of London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading investment management firm is seeking an Investment Risk Data Analyst to join their team. You will manage and analyze data across various platforms, ensuring data quality and developing risk analytics. Responsibilities include designing analytical solutions, owning risk dashboards, and driving automation processes. Ideal candidates will have a degree in related fields and experience in data analysis, along with familiarity in BI tools and programming languages.

Qualifications

• Experience in data analysis of large-scale, distributed data sets and in process automation.
• Interest in the financial industry with domain knowledge of investment and securities.
• Understanding of risk management concepts including VaR and stress testing.

Responsibilities

• Engage with stakeholders to design and implement analytical solutions across asset classes.
• Own risk and performance dashboards and data sourcing processes.
• Drive the migration to automated processes using AI.

Skills

Data analysis

Process automation

Analytical skills

Statistical modelling

Problem-solving

Education

Degree in Mathematics, Data Science, Finance or Statistics

Tools

Tableau

Power BI

Python

Alteryx

Job description

Investment Risk Data Analyst

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.

Responsibilities

• Engage 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.
• Manage existing data sets, ensuring analytics tools are reliable and data is accurate.
• 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.

Qualifications

• Degree in Mathematics, Data Science, Finance or Statistics.
• Experience in data analysis of large‑scale, distributed data sets and in process automation.
• Interest in the financial industry with domain knowledge of investment and securities and/or AI applications.
• Understanding of risk management concepts including VaR, stress testing, and scenario analysis.
• Familiarity with BI tools (Tableau, Power BI), process workflow automation tools (Alteryx) and programming languages (Python).
• Strong analytical and data manipulation skills and excellent statistical modelling skills.
• Flexible and results‑oriented, with excellent problem‑solving skills.

About Lombard Odier

Lombard Odier is a renowned global wealth and asset manager with a strong focus on sustainable investing. Our firm provides discretionary and advisory portfolio management, wealth services and custody, and offers asset management services and investment strategies through Lombard Odier Investment Managers.

Diversity, Equity and Inclusion are woven into the fabric of our DNA, and we strive to ensure that our employees can fulfill both their personal and professional aspirations by encouraging internal mobility and upskilling programs.