Multi-Asset Portfolio Construction VIE

Beschreibung:

Who we are looking for An analytical, curious and proactive individual with an interest in financial markets, portfolio construction and data visualisation. The successful candidate will be comfortable working with SQL, Python and data analysis, and will bring strong communication and teamwork skills. Why this role is important to us 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 About Amundi What we do. With close to 5,500 team members, and market experts in 35 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 1.934 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 shave 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. Candidate Personal Data Protection Charter Amundi is a subsidiary of the Crédit Agricole Group. The information collected as part of your application is subject to computerized processing. The Crédit Agricole Group's Personal Data Protection Charter for Recruitment informs you of the processing operations to which your personal data is subject within the Group, the protection principles applicable to this processing and the manner in which the Group complies with regulatory requirements. You can consult this Charter by clicking on the following link: Candidate Personal Data Protection Charter. By submitting an application, I accept and agree that my personal data be processed in accordance with this Charter

Ihr Profil:

What we value for the role * Interest in financial markets, portfolio construction and data visualisation * Strong numerical, analytical and problem-solving skills * Proficient in SQL and Python for data analysis, automation and reporting * Understanding of data quality, reconciliation and validation * Comfortable working with large, structured datasets * Strong communication skills and ability to present insights clearly * Proactive, curious and eager to learn * Organised, dependable and able to work well in a team Education & Preferred Qualifications * Degree in area of Finance, Engineering, Business or other relevant area, or similar post-graduate qualification or demonstrated relevant work experience. * Knowledge of main financial instruments (stocks, bonds, etc.) We welcome applications from those who may be returning to work following a break or those who are at the beginning of their careers