Multi-Asset Portfolio Construction VIE M/F, Dublin

Description du poste

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 teams analytics and digital capability through Alto Studio, Amundis 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

Télétravail : hybride