Moteur de recherche d'offres d'emploi Amundi

Portfolio Construction & Financial Engineering Analyst - Maternity Cover M/F

Vacancy details

General information


Amundi, the leading European asset manager, ranking among the top 10 global players [1], offers its 100 million clients - retail, institutional and corporate - a complete range of savings and investment solutions in active and passive management, in traditional or real assets.

With its six international investment hubs [2], financial and extra-financial research capabilities and long-standing commitment to responsible investment, Amundi is a key player in the asset management landscape.

Amundi clients benefit from the expertise and advice of 5,300 employees in 35 countries. A subsidiary of the Crédit Agricole group and listed on the stock exchange, Amundi currently manages more than €2.0 trillion of assets [3].

Amundi, a trusted partner, working every day in the interest of its clients and society

[1] Source: IPE “Top 500 Asset Managers” published in June 2022, based on assets under management as at 31/12/2021
[2] Boston, Dublin, London, Milan, Paris and Tokyo
[3] Amundi data including Lyxor as at 31/03/2022




Publication date


Job description

Business type

Types of Jobs - Asset Management

Complementary business types

Types of Jobs - Economic and Financial Analysis

Job title

Portfolio Construction & Financial Engineering Analyst - Maternity Cover M/F

Contract type

Fixed-Term Contract

Management position


Job summary

Who we are looking for

The successful candidate will be passionate about Risks and process enhancement. The candidate will play a key role in defining new solutions and improving the Multi Asset investment process.


Why this role is important to us

The Portfolio Construction & Financial Engineering team is part of the Multi Asset Investment Platform and is comprised of specialists focused on enhancing the risk adjusted return of the portfolios.  The team, consisting of eight analysts across various locations (three in Dublin), has developed propriety tools and quantitative techniques to optimise the asset allocation and the active investment decisions of the portfolios. 

As well as having a voice in the decision making process, particularly around asset allocation and hedging, we also focus on enhancing the diversification benefit between the investment decisions and limiting drawdowns. 


What you will be responsible for 

  • Build strong relationships with Portfolio Managers to design and implement effective Portfolio Construction & Financial Engineering techniques with the goal to optimize the risk adjusted returns of the Multi-Asset portfolios
  • Perform analysis and reviews on Multi-Asset portfolios and actively participate in investment decisions including risk allocation, diversification, investment simulations and drawdown management
  • Provide counsel to portfolio management, product development and research on Portfolio Construction & Financial Engineering issues.
  • Actively participate in enhancing and developing mathematical and analytical tools to be used in the Portfolio Construction & Financial Engineering process.
  • Develop and execute processes to estimate, monitor and mitigate portfolio’s risks.


Position location

Geographical area

Europe, Ireland



Candidate criteria

Minimal education level

Bachelor Degree / BSc Degree or equivalent

Academic qualification / Speciality

Education & Preferred Qualifications 

  • BSc/MSc in Finance, Economics, Statistics, Computer Science, Physics.

  • Proficiency in: VBA, SQL, Python

Required skills

What we value for the role

  • Be curious & open to challenge (and to be challenged), strive for process innovation and enhancements.
  • Hard-working, dedicated and motivated. Able to work under pressure.
  • Able to work in a team environment and to create team-spirit.
  • Effective analysis of problems and providing solution accordingly, able to initiate effective solution to the problem.
  • Strong logical, mathematical and analytical skills.
  • Experienced in financial modelling and statistical methods.