Data Analyst/ Editor (m/w/d)

Posted 6 Days Ago
Be an Early Applicant
Hiring Remotely in Germany
Remote
Junior
Artificial Intelligence • Information Technology • Software • Industrial • Automation
The Role
The role involves setting up financial products within an XML-based data model, ensuring data accuracy, and maintaining communication between teams and clients.
Summary Generated by Built In

Data Analyst/ Editor (m/w/d)

Job Overview

We are looking for a detail-oriented Data Analyst with a strong understanding of Structured Prod-

ucts and a passion for data accuracy and process efficiency.

In this role, you will be responsible for setting up and maintaining structured financial products in

our internal XML-based data model via a dedicated GUI. Your work ensures that our data feeds

are consistent, complete, and compliant, forming the foundation for quantitative calculations and

the generation of regulatory documents (PRIIP KIDs) for our clients, including trading desks across Europe. You will act as a key liaison between our client (a leading Swiss bank) and internal teams, ensuring smooth communication, high data quality, and timely product delivery.

Responsibilities and Duties

  • Capture and configure new structured products in our internal data model using a dedicated user
  • interface (GUI).
  • Ensure data completeness and accuracy for both newly created and existing products throughout
  • their lifecycle.
  • Understand and validate data stored in XML format; basic XML knowledge is a strong advantage.
  • Manage incoming requests and queries via our ticketing system and occasionally by phone. Provide
  • accurate, timely feedback and resolve issues collaboratively.
  • Maintain manual product flows, including updates to product lifecycle data, website entries, and
  • document uploads.
  • Work closely with internal data, product, quant and technology teams to ensure end-to-end consistency of product information and smooth downstream processing.
  • Identify recurring issues or inefficiencies in the data flow and proactively contribute to process
  • optimization.
  • Contribute to initiatives across WSD, bringing Subject Matter Expertise of the use of data
  • and relevant industry experience.
  • Qualifications
  • Bachelor’s degree in Finance, Economics, Data Science, or a related field 
  • Strong understanding of Structured Products (ideally in the EMEA market) — product setup experience is a major plus.
  • Basic familiarity with XML data structures and logical data models.
  • Excellent analytical skills, precision, and a strong eye for detail.
  • Fluency in English and German.
  • Strong communication and client interaction skills, ideally with experience in a client-facing or
  • ticket-based environment.
  • Reliable and self-organized with the ability to work both independently and as part of a team.
  • Proactive mindset and interest in financial data operations and product lifecycle management.

WSD is an employer that values diversity. We highly encourage applications from appropriately qualified and eligible candidates irrespective of age, race, religion, national origin, gender, sexual orientation, gender identity and/or expression, veteran status, disability, or any other status protected by applicable law.

Top Skills

XML
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The Company
HQ: London
317 Employees
Year Founded: 2008

What We Do

WSD (www.wsd.com) is an innovative technology company, backed by leading U.K. mid-market private equity firm Bowmark Capital. Specializing in comprehensive SaaS-based solutions for the structured products and OTC derivatives markets, our cutting-edge platform and related services streamline document generation for legal, marketing, and investor communications while offering workflow automation, data and lifecycle management, and seamless integration with industry platforms and portals.

While our core focus is on structured products, our versatile technology platform has broader applicability within the banking sector. As a market leader, we are dedicated to continuous innovation, incorporating artificial intelligence (AI) into every aspect of our solutions to drive efficiency and deliver unmatched value to our clients.

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