EIF : Quantitative Analyst (Several Positions) – Luxembourg

  • Location:
  • Salary:
    negotiable / YEAR
  • Job type:
    FULL_TIME
  • Posted:
    3 weeks ago
  • Category:
    Management and Strategy
  • Deadline:
    20/12/2024

JOB DESCRIPTION

 

The European Investment Fund (EIF) is seeking to recruit for its Investment Office (IO) – Central Front Office Services (CFOS) – Business Support Division at its headquarters in Luxembourg, several Quantitative Analyst(s)*. This is a full-time position (travel not required) at grade 4/5 for which the EIF offers a permanent contract.

*internal benchmark: Analyst

This is a generic campaign in the view of addressing both current vacancies and to a create reserve list for future vacancies. Retention of the reserve list will be for a maximum period of 18 months.

Panel interviews via video-conference are anticipated for January/February 2025.

EIF Purpose

Part of the EIB Group, the mission of the European Investment Fund (EIF) is to improve access to finance for SMEs and small mid-caps in Europe. We do this by supporting emerging and established fund managers with equity investments and by designing debt financing instruments that share the risk taken by financial institutions when they lend to or invest in small businesses. We bring this support closer to entrepreneurs through our extensive network of partners and financial intermediaries in all EU Member States and associated countries.

Operating network

The successful candidate works under the guidance of more senior colleagues and reports to the Head of the Quant Models & Data Science Unit who in turn reports to the Head of Business Support Division. The successful candidate will work in close cooperation with other members of the Division, members of the Investment Office, and have contacts with colleagues in other EIF Departments, particularly in Risk Management, and counterparts within the EIB Group.

Responsibilities

At a level commensurate with your experience and seniority, you will:

  • Support Front Office Execution: Collaborate closely with the front office execution team during the due diligence process, offering quantitative analysis on new private equity transactions and structured equity investments, focusing on equity investment structures, credit risk, and valuation models;
  • Quantitative Modeling and Risk Analysis: Engage with the quant modeling team, providing support during interactions with Risk Management to establish and review equity investment models, stress testing, and valuation methodologies, ensuring compliance and alignment with financial models and standards;
  • Portfolio Assessment and Model Maintenance: Conduct periodic assessments of investment portfolios, run simulations, and update models to reflect changing market conditions, private equity performance, and portfolio adjustments;
  • Improve and maintain the implementation of in-house simulation tools, models and other existing tools;
  • Assist in the conceptual design of the model core, new analytics tools and testing the quantitative methodology with a view to create a best-in-class implementation;
  • Develop quantitative scripts and tools to enhance productivity;
  • Utilize data mining and machine learning techniques to derive business insights and support decision-making processes;
  • Ensure proper documentation in English of the implemented quantitative analytics, financial models and methodology;
  • Provide technical guidance and support on quantitative questions and system implementations;
  • Support colleagues from various teams across the Division on quantitative/programming matters;
  • Keep abreast of the evolution of market practice for equity and credit portfolio analytics

Qualifications

  • At least three (3) and no more than five (5) years of post-graduation (after having obtained your initial university diploma) relevant professional experience at the same level of responsibility in the financial sector;
  • Advanced degree (master’s or higher) in Financial Engineering, Mathematics, Data Science, Computer Science, Statistics, or a related field, with an emphasis on quantitative methods;
  • Proficiency in quant modeling, using tools such as VBA, Advanced Excel, Python. Experience with Python is mandatory;
  • Any – or combination – of the following would be considered an advantage:
    • Strong quantitative and programming skills as well as knowledge and understanding of quantitative models
    • Knowledge of object-oriented programming
    • Experience/exposure to data science and/or familiarity with SQL database queries
    • Exposure to equity and credit-related products
    • Understanding of EIF’s operational framework
  • Fluency in written and oral English. Knowledge of other EU languages would be an advantage.

Competencies

  • Diligent, dependable and determined;
  • Willingness to develop expert knowledge in the field of private equity and credit risk;
  • Strong analytical skills and precision (detail focus) especially when assessing data;
  • Tenacity in seeking insights and solutions;
  • Teamwork oriented with excellent interpersonal skills and ease in dealing with internal and external counterparties;
  • Good oral and written communication skills, including synthesis;
  • Ability to work on several projects both independently and in a multi-cultural team, with an aptitude for close co-operation and co-ordination, in a front office environment;
  • Sense of responsibility, organization and initiative.

Deadline for applications*: 20 December 2024

Applications of women and/or candidates from countries under-represented in EIF (DEU, NLD, POL, DNK, SWE, AUT, CZE) are encouraged.

We are an equal opportunities employer, who believes that diversity is good for our people and our business. We encourage all suitably qualified and eligible candidates to apply regardless of their gender identity/expression, age, racial, ethnic and cultural background, religion and beliefs, sexual orientation/identity, disability or neurodiversity.

Applicants with specific needs are encouraged to request reasonable accommodations at any stage during the recruitment process. Please contact the EIF Recruitment team Recruitment@eif.org who will ensure that your request is handled.

By applying for this position you acknowledge the importance of maintaining the security and integrity of the Information of the EIB Group. In case of selection for the position you agree to comply with all measures (policies, controls, document classification and management) implemented by the EIB Group to prevent unauthorized disclosure of any information or any damage to the EIB Group reputation.

Candidates are informed that pre-employment integrity screening is an integral part of the EIF recruitment process.

* Due to high volume of applications, only candidates selected for interviews will be contacted.

 

Level of Education: Bachelor Degree

Work Hours: 8

Experience in Months: No requirements