Role overview

The Multi Asset Portfolio Construction team is part of the Multi Asset Investment Platform and is
comprised of specialists focused on enhancing the risk-adjusted return of portfolios. The team has
developed proprietary tools and quantitative techniques to support asset allocation, active
investment decisions, risk monitoring and portfolio optimisation across the Multi Asset platform.
This position will provide hands-on experience supporting the team’s analytics and digital capability
through Alto Studio, Amundi’s internal AI suite, and the rollout of a portfolio management decision
support system.
The role will allow the VIE to contribute to the innovation process while gaining exposure to
portfolio analytics, data visualisation and AI-enabled tools, working closely with portfolio
construction analysts.

What you will be responsible for

• Support the Multi Asset Portfolio Construction team in delivering analysis, reporting, and
dashboard solutions for the Multi Asset & Solutions investment platforms
• Build and maintain dashboards in Alto Studio to monitor portfolio performance, risk,
exposures and other key metrics
• Work with portfolio managers and analysts to understand requirements and translate them
into intuitive and effective dashboard designs
• Document dashboard functionality, processes and analytical outputs as required
• Contribute to the testing and rollout of a portfolio management decision support system.

What we value for the role

• Interest in financial markets, portfolio construction and data visualisation
• Strong numerical, analytical and problem-solving skills
• Good attention to detail and a willingness to learn
• Proficient in SQL to extract, transform, and analyse data from relational databases.
• Solid Python skills for data analysis, automation, and reporting, ideally with exposure to
libraries such as pandas, numpy, and matplotlib/seaborn
• Ability to write and maintain clear, reliable scripts for data processing and analysis
• Understanding of data quality checks, reconciliation, and validation
• Comfort working with large datasets and structured data
• Ability to translate business requirements into practical technical solutions
• Good communication skills and ability to work effectively in a team
• Ability to present data and insights clearly

Competencies

• Curious, open to feedback and eager to learn
• Proactive and willing to ask questions
• Hard-working, organised and dependable
• Collaborative and able to work well in a team environment
• Logical and analytical in approach to problem-solving
• Able to manage multiple tasks and priorities
• Committed to continuous improvement and process innovation

About Amundi

What we do. With close to 4,700 team members, and market experts in 36 countries, Amundi
provides retail, institutional and corporate clients with innovative investment strategies and
solutions tailored to their needs, targeted outcomes and risk profiles. Amundi manages 1.755
trillion euros of assets across six main investment hubs.
What we offer. We make all efforts to create a great and positive work environment, focusing on
retaining, nurturing and rewarding talent. As a member of our team, you will have access to
competitive and comprehensive benefits package inclusive of flexible work options, mentorship as
well as an opportunity for cross-functional and geographical internal mobility and a range of
development programmes to help you reach your full potential.
Inclusion, Diversity and Social & Societal Responsibility. We pride ourselves in being a responsible
and committed financial player. We are keen to develop a responsible, demanding vision of our
business, paying rigorous attention to our employees ensuring there is equal opportunity, diversity,
inclusion and non-discrimination. Amundi Ireland aim to help provide the tools to help balance your
professional and personal life providing access to employee networks, such as our Women’s
Network, Charity Committee and Mental Health Champions.

Multi-Asset Portfolio Construction VIE

Benefits

Job Description