Data Analyst

WealthArc is the fastest-growing platform for independent asset managers in Switzerland. Built on the latest technologies, it is the first WealthTech solution offered in a full SaaS model, to become the future data hub for wealth management and private banking. 

We are looking for a Data Analyst to join our WealthArc team. You will use robust cloud-based methods to transform raw data into useful data systems and to ensure the highest data quality. What is more, you will be working with a lot of well-known banks and wealth management companies, mainly in Switzerland, expanding internationally. To succeed in this position, you should have strong analytical skills and the ability to automate the processes of data transformation and data quality assurance. If you are detail-oriented and enthusiastic about cutting-edge technologies to enable upgrading our existing product, we’d like to hear from you! 

 A key part of this role will be financial instruments modelling within our Portfolio Management System (PMS). Therefore, we are looking for someone with solid knowledge of financial instruments (such as equities, bonds, derivatives, and funds) and an interest in how they are structured and represented in data systems. To succeed in this position, you should have strong analytical skills and the ability to automate data transformation and data quality assurance processes. If you are detail-oriented and enthusiastic about using cutting-edge technologies to enhance our product, we’d love to hear from you.

Requirements:

• Some of professional experience in data analytics/university degree in a related field

• Proficiency in SQL

• Experience with a version control system

• Strong team player

• Fluent English

• Proficiency in Python will be an additional advantage

• Basic knowledge of investment products will be an additional advantage

Responsibilities

• Ensure the highest quality data model standards for different financial asset classes

• Design, implementation and improvement of data transformations from external custodian data sources to an internal standardised format

• Consultative approach in designing and building best-in-class data solutions to eliminate redundant data maintenance

• Use and enhance scalable and robust proprietary cloud-based data engineering tools

• Identify opportunities for automation and improvement

• Work with well-known banks and wealth management companies

• Collaborate closely with Product, Customer Success and Engineering teams to define best practices for investment data management 

We offer

• Possibility to work almost fully remotely (2 days per month in the office in the centre of Warsaw)

• Growth in line with the rapid scaling of the company

• Challenging work with exposure to cutting-edge technologies dedicated to the financial sector

• Work ethic based on collaboration and an innovative approach

• A company-wide lunch is organised every month

• Off-site events organised every year

• Benefits such as: training sessions and conferences

• Available Medicover & Multisport packages