Quant Investment Analyst – Single-Family Office, Hamburg

Agreus; Hamburg; Vor Ort; EUR 50.000 - 90.000; Vollzeit

Zusammenfassung

An exciting opportunity awaits within a dynamic Single-Family Office seeking an Investment Analyst to enhance their investment strategies. In this role, you'll support portfolio management by developing quantitative models and conducting thorough investment research. Your analytical mindset will drive data-driven insights, while your technical expertise in financial modeling and tools like Excel and Python will be crucial. Join a forward-thinking team that values innovation and process improvement, and make a significant impact on investment decisions. If you are passionate about finance and eager to contribute to a collaborative environment, this position is perfect for you.

Qualifikationen

• Experience in investment analysis and asset allocation is essential.
• Proficiency in financial modeling and portfolio analysis is required.

Aufgaben

• Support portfolio modeling and data analytics for investment decisions.
• Conduct research and analysis to optimize investment strategies.

Kenntnisse

Investment Analysis

Asset Allocation

Portfolio Analytics

Financial Consulting

Quantitative Skills

Analytical Mindset

Ausbildung

Bachelor in Finance

Bachelor in Business Administration

Bachelor in Mathematics

Bachelor in Physics

Bachelor in Computer Science

Tools

Excel

VBA

@Risk

Python

R

Bloomberg

MSCI Total Plan (Burgiss/Caissa)

Jobbeschreibung

Investment Analyst – Single-Family Office, Hamburg

An exciting opportunity has become available within a Single-Family Office who are looking for an Investment Analyst to join their team in Hamburg, Germany. This role offers the opportunity to work on a broad range of investment topics in a dynamic and evolving environment, with room to shape and improve existing frameworks.

Within this role, you will be supporting the Head of Portfolio Management by creating, implementing, and supporting quantitative models for portfolio construction, portfolio planning and risk management of both potential and existing investments.

Key Responsibilities:

• Support Portfolio Modeling & Data Analytics – Assist in developing and refining portfolio models and analytical tools for asset allocation, commitment pacing, risk analysis and liquidity planning. Gather and analyze quantitative data supporting investment decision-making.
• Conduct Investment Research & Analysis – Perform research and analysis on portfolio construction, benchmarking, and risk assessment to optimize investment strategies, challenge assumptions, and propose data-driven improvements.
• Deliver Insights & Reports – Develop clear, data-driven reports and visual insights for the Investment Committee and senior stakeholders.
• Innovation & Process Improvement – Support the adoption of new tools, technologies, and methodologies to enhance portfolio analysis and investment research.

Skillset and Experience:

• Demonstrable experience in investment analysis, asset allocation, private equity, portfolio analytics, or financial consulting.
• Academic background in Finance/ Business Administration or a quantitative subject, such as Mathematics, Physics or Computer Science.
• Technical Skills: Proficiency in financial modeling, portfolio analysis, and risk management. Strong quantitative skills and experience with Excel; VBA, @Risk, and programming languages such as Python or R is beneficial.
• Analytical Mindset: A proactive mindset with a strong motivation to delve into data, challenge existing assumptions, and contribute to the development of investment strategies.
• Investment Knowledge: Familiarity with financial instruments in public and private asset classes or financial economic theories is beneficial. Experience with MSCI Total Plan (Burgiss/Caissa) or Bloomberg is advantageous.

Remuneration will be commensurate with the duties and demands of the role and the experience of the candidate.

If you would like to find out more about the role, please send a (preferably Word) copy of your latest CV to [e-mail].

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