Oliver James is looking for a Functional Data Analyst - Investment for different roles, with strong capabilities.

We introduce talented people to great organisations so that both may grow and benefit from each others experiences, helping to fulfil their potential. As such, you can come to expect a consistently high level of service and delivery, placing up to C-suite talent in permanent and contract positions, as well as project-based consultancy and temp solutions worldwide from our 12 global locations.

We are seeking a talented Functional Data Analyst with a focus on investment analysis. As a Functional Data Analyst, you will play a crucial role in leveraging data to provide valuable insights, drive informed decision-making, and optimise investment strategies. This position combines financial acumen with advanced data analysis skill.

Responsibilities

Data Analysis and Interpretation:

• Conduct in-depth analysis of financial data to identify trends, patterns, and investment opportunities.
• Interpret complex data sets to extract meaningful insights that inform investment strategies.

Modelling and Forecasting:

• Develop and maintain financial models to assess risk, return, and overall performance of investment portfolios.
• Utilize statistical and quantitative techniques for forecasting market trends and investment outcomes.

Data Visualisation:

• Create visually compelling and insightful reports and dashboards to communicate findings to stakeholders.
• Collaborate with teams to enhance data visualisation tools for improved decision support.

Data Preparation for Migration:

• Collaborate with teams to assess data readiness and facilitate the seamless migration of investment data to new platforms or systems.
• Cleanse and transform data as needed, ensuring accuracy and completeness for successful migration.

Qualifications:

• Bachelor's degree in Finance, Economics, Statistics, or a related field.
• 4 years of proven experience in data analysis within the investment domain.
• Strong proficiency in data analysis tools such as Python, R, or SQL.
• Familiarity with investment concepts, financial markets, and portfolio management.
• Experience in data preparation and migration for complex systems.
• Excellent communication skills with the ability to convey complex data findings to non-technical stakeholders.
• Detail-oriented with a commitment to accuracy and precision.