Graduate Programme - Quantitative and risk analysis - UBP

Graduate Programme - Quantitative and risk analysis

Description

Union Bancaire Privée (UBP) is one of the largest family-owned private banks in the world. But what makes UBP really unique is its corporate culture, which combines modernity and tradition. Although UBP was founded in 1969, its origins can be traced back to the 17th century and the start of a long line of financiers and diplomats of whom Edgar de Picciotto and his descendants are the successors. Today, the Bank's staff draw their inspiration and drive from the founding family's subtle blend of strong moral values and pragmatism, which to this day remain the key to UBP’s success.

Mission

Permanent position with a 12-month rotational programme within different departments across the Bank to discover several activities, as well as build expertise and professional skills.

Challenges

This programme is dedicated to young graduates, with a Master’s degree recently obtained (before August 2024) from a highly recognised university and a maximum of 12 months’ global professional experience, seeking to discover the Banking industry.

It includes the prospect of obtaining a permanent role within UBP Quantitative & Risk analysis Team at the end of the programme.

Main responsibilities

The main mission is to fulfil the demand in quantitative analysis, coming both from the different teams of the Asset Management department as well as from the Private Banking.

The role covers a wide range of activities such as producing and analysing quantitative & risk reports (Var contribution, tracking error analysis, stress tests, portfolio simulation, backtest,…), develop portfolio construction and optimization tools, answer to ad hoc requests on risk and quantitative analysis, for both internal and external clients. This induces the ongoing maintenance and development of the whole information system to sustain the activity, from data provider to client reporting/user interface development. Key requirements are strong financial engineering knowledge and advanced IT skills.

• Collaborate with portfolio managers on risk-based portfolio management techniques
• Production of quantitative and risk reports across all asset classes (Equity, Bonds, Convertibles, Hedge Funds,…).
• Handle specific queries on quantitative analysis and risk topics (RFP, Marketing, portfolio optimization, sensitivity analysis…)
• Management of diverse projects such as enhancement of portfolio optimization technique, recommendation engine, enhancement of the reporting platform, development of new analysis, interaction with external providers and internal clients, research efforts.
• Backup efforts during colleagues’ absence.

Rotations are planned in Geneva and Zurich.

Applications

Applications must be made online by clicking on the button below and must include a CV and a cover letter.

Start date: 1st September 2024

Application period: until 30th April 2024

Interviews: April to June 2024

You must be eligible to work in Switzerland. Please include in your CV your nationality/ies and / or your work permit when applicable.

Education

Education:

Master Degree

Certification:

University degree in Mathematics, IT, Finance, Applied Economics, or equivalent

IT Tools:

Strong IT skills. The team is mainly working with Python, C#, SQL, Access, VBA, Matlab.

Experience

Years of experience:

0-3 : beginner

Experience required:

Maximum 12 months’ professional experience

Experience in private banking:

Optional

Language

English:

Fluent

French:

Fluent

Personal skills

Analytical mind and ability to explain technical subjects in a fluent way

Organized, rigorous, precise working style, with a persevering approach

Client orientated with an excellent service delivery and ability to meet Portfolio Managers’ expectations and deadlines

Team oriented with the capacity to work autonomously while reporting to the direct supervisor

Good communication and interpersonal skills with the ability to share knowledge with colleagues

Swiss resident:

Mandatory