← All jobs

Pictet is a Swiss wealth and asset management group also providing custody and asset administration to private and institutional clients.

Information about Pictet
Official domain
pictet.com
Open jobs
84

Job details

The full description published by Pictet.

View original job listing ↗

Description de l’offre

Your team Corporate Functions encompasses the Group’s non core-banking activities, with over 900 professionals supporting all business units, including Communications, Compliance, Finance, Human Resources, Information Security, Internal Audit, Legal, Corporate Office & Digital, Risk, and Tax departments. You will be part of the Group Internal Audit Department in Geneva, within the Corporate Functions Division. You will play a key part in the Data Analytics team for Internal Audit, contributing to the department’s mission by leveraging advanced data and AI solutions, and innovative analytics.

Your role

  • Working closely with lead auditors and stakeholders to transform strategic objectives and regulatory needs into effective analytics and data-driven solutions for audit and assurance activities.
  • Building and maintaining scalable data pipelines that bring together information from various sources, including legacy and cloud-based systems, to support audit processes and enable the delivery of actionable insights through analytics and data visualization reports tailored to audit needs.
  • Participating to the modernization of the department’s analytics infrastructure by streamlining data flows, supporting migration to cloud platforms, and introducing new technologies such as AI, automation, and intelligent agents to enhance audit analytics.
  • Developing business cases with the Audit team by identifying and processing relevant data.
  • Conducting and documenting procedures to assess and ensure data quality within audit assignments.
  • Building strong partnerships with data stakeholders throughout the Pictet Group.

Your profile

  • Engineer-related academic background with a master’s degree in data science or computer science.
  • A minimum of five years’ experience in a similar role.
  • Solid programming languages skills such as Python, and SQL.
  • Hands-on experience with cloud data platforms and contemporary analytics practices; experience with Snowflake is a must.
  • Practical experience applying AI/automation and intelligent agents to enhance analytics efficiency and capabilities.
  • Good knowledge of Business Intelligence tools such as Tableau, and experience with ETL tools such as Alteryx is a plus.
  • Strong initiative, adaptability, and a proactive approach to problem-solving.
  • Creative and solution-oriented, with strong communication skills and teamwork spirit.
  • Fluent in English and French.
  • Must be resident in Switzerland. Note We will not accept any CVs via agencies. Ref. : DAE/MH/SG Diversity & Inclusion Pictet is an equal opportunity employer and is committed to creating a diverse environment. We respect all individuals and seek their inclusion in the workplace.

Requirements

  • Résider en Suisse

Apply for this job

How do I apply?

The job is published on Pictet’s website. Open the original posting ↗ to submit your application. Screeningpass does not fill in a form for you.

Who should you write to at Pictet about this role?

Start a contact search from this page. Screeningpass suggests up to three people connected to the role. Choose whom to write to, then Screeningpass looks for their professional email and prepares a message. You review it and send it yourself with Gmail. An email address is not always available, and a reply is never guaranteed.

How much does finding a contact cost?

A search costs 1 credit. Your credit is returned if the search fails. Signing up gives you 3 credits, enough for 3 searches.

What does Screeningpass do?

Screeningpass brings together internships, apprenticeships and jobs published by companies. For a job, Screeningpass finds someone to contact at the company, looks for their professional email and prepares a message using your CV. See how it works in detail.