Associate – Quantitative Data Analyst

OVERVIEW
PURPOSE OF ROLE (WHAT IS REQUIRED OF THE JOBHOLDER TO ACCOMPLISH):
• Support Valuation Analysts on modelling tasks focussing on building solution(s) for
automation of valuation processes.

RESPONSIBLE FOR:
• Utilise statistical and machine learning techniques to enhance the robustness of
financial models.
• Extract, clean, and transform provided datasets for inputs for financial model.
• Conduct data analysis to identify patterns, trends, and outliers.
• Identify opportunities for automation in financial modelling and valuation processes.
• Implement automation solutions to streamline repetitive tasks, enhancing efficiency.
CORE RESPONSIBILITIES (FUNCTIONAL RESPONSIBILITIES):
• Implementing automation of the valuation processes.

CORE RESPONSIBILITIES (FUNCTIONAL RESPONSIBILITIES):
• Implementing automation of the valuation processes.

SKILLS AND COMPETENCIES
• Currently pursuing a degree in Data Science, Quantitative Finance, Statistics, or a
related field.

• Strong analytical and quantitative skills, with a keen interest in financial modelling.
• Proficiency in programming languages such as Python or R for data analysis.
• Knowledge of machine learning techniques and their application to financial data.
• Beneficial experience in usage of programming languages, software for data analytics
and self-made spreadsheet solutions.
• Team player with ability to work in a multicultural and international environment
• Strong diligence, while being able to adapt efficiently to changing business/client
requirements.
• Proven organisational and time management skills.
• High level of commitment.

ESSENTIAL APPROVED PERSONS EXAMINATIONS
• N/A

PROFESSIONAL EXAMINATIONS REQUIRED
• N/A

OTHER SKILLS REQUIRED, ESSENTIAL OR DESIRED:
• Strong interest in valuation technics required
• Experience or knowledge of working with databases like MS Azure and MS Fabric in
combination with MS Data Lake Storage is desired
• Programming knowledge in SQL, VBA, or Python beneficial.
• Additional academical background in Finance beneficial.
• Second language, especially German, Spanish, French beneficial but is not required

WHEN ABSENT FROM THE OFFICE ROLE WILL BE COVERED BY:
• Other team members