Data Analyst

Lombard Odier; City of Westminster; On-site; GBP 35,000 - 45,000; Full time

Job summary

A global wealth and asset manager in the UK is seeking a Data Analyst to take ownership of risk and performance dashboards. Responsibilities include migrating processes to automation and managing data sets. The ideal candidate will have a degree in Mathematics or related fields and experience in data analysis and risk management. This role offers a dynamic work environment focused on sustainable investing.

Qualifications

• Degree in Mathematics, Data Science, Finance or Statistics.
• Experience in data analysis of large-scale, distributed data sets.
• Knowledge of investment and Artificial Intelligence applications.
• Understanding of risk management concepts including VaR and stress testing.
• Ability to challenge and provide constructive criticism.
• Familiar with BI tools and programming languages.
• Strong analytical, data manipulation, and problem-solving skills.

Responsibilities

• Take ownership of risk and performance dashboards.
• Drive migration of existing processes to automation.
• Manage existing data sets and ensure correct data sourcing.
• Maintain risk calculations and process feeds.
• Respond to ad-hoc requests for information.

Skills

Data analysis of large-scale, distributed data sets

Process automation

Understanding of risk management concepts

Strong analytical and data manipulation skills

Excellent statistical modelling skills

Familiarity with BI tools (e.g., Tableau)

Familiarity with programming languages (Python)

Education

Degree in Mathematics, Data Science, Finance or Statistics

Tools

Tableau

Alteryx

Job description

Overview

Engagement with LOIM Investment Risk Managers and other primary stakeholders to design, develop and implement clear analytical solutions across all asset classes.

Responsibilities

• 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 to and prioritize ad-hoc requests for information as they arise.

Qualifications

• 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 have the ability to challenge and provide constructive criticism.
• You are familiar with BI tools (e.g., Tableau), process workflow automation tools (e.g., Alteryx), and programming languages (Python).
• You have strong analytical and data manipulation skills and excellent statistical modelling skills.
• You are autonomous and self-motivated, with strong attention to detail; flexible and results-oriented with excellent problem-solving skills.

About Lombard Odier

A career at Lombard Odier means working for a renowned global wealth and asset manager, with a strong focus on sustainable investing. Our independent 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. Lombard Odier Investment Managers provides asset management services and investment strategies, and we offer advanced banking technology to other financial institutions. Our philosophy, "Rethink Everything", guides our approach as we strive to deliver fresh investment perspectives for our clients. LOIM is the asset management business of the Lombard Odier Group. We are a global team of more than 400 investment professionals across Europe, Asia and North America, and you will join a network of 13 offices. 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, ensuring data quality, developing risk analytics, and enhancing automation in risk management.