Financial Risk Manager (m/f/x)

Scalable Capital; München; On-site; EUR 90,000 - 140,000; Full time

Job summary

Scalable Capital is seeking a quantitative risk specialist to develop and maintain risk models with Python, translating complex statistics into robust code. You will run validations, monitor daily risk exposures, and ensure compliance with KWG, CRR, MaRisk, and EBA guidelines.

You will contribute to ICAAP/ILAAP and stress testing, while improving data pipelines and mentoring interns in a fast-paced fintech environment in Munich.

Qualifications

• You have completed a degree, preferably with a focus on mathematics, statistics or quantitative finance.
• Several years of experience in a comparable role in the financial services industry.
• You are highly proficient in financial modelling using Excel or Google Sheets.
• You have hands-on experience using Python (including libraries such as Pandas, NumPy, or SciPy) and/or R for data analysis and implementation of statistical models.
• You possess a strong aptitude for risk-oriented analysis and enjoy breaking down complex, quantitative topics into clear, actionable insights.
• You are reliable, detail-oriented, and possess strong communication and analytical skills.

Responsibilities

• You will develop, implement, and maintain quantitative financial risk models and reporting tools, utilizing Python to translate complex statistical concepts into robust code
• You will execute rigorous validation processes (including sensitivity analysis, benchmarking, and stress testing) to continuously evaluate, challenge, and enhance model accuracy and performance
• You will take ownership of daily financial risk monitoring processes, systematically analyzing risk exposures, assessing compliance with internal limit frameworks, and generating reliable daily reports for senior management
• You will ensure all reporting tools and financial risk models remain strictly aligned with key regulatory frameworks (e.g., KWG, CRR, MaRisk, EBA guidelines)
• You will actively contribute to critical regulatory assessments, including ICAAP and ILAAP, and support the design, execution, and quantitative analysis of comprehensive stress testing scenarios
• You will continuously evaluate and optimize existing risk data pipelines and reporting scripts to improve the efficiency and accuracy of financial risk quantification methodologies and risk monitoring frameworks
• You will provide mentorship and technical guidance to interns, fostering a culture of continuous development

Skills

Python (Pandas/NumPy/SciPy)

Financial risk modelling

Excel / Google Sheets

Statistical analysis

Communication skills

Education

Degree in mathematics / statistics / quantitative finance

Tools

Python (Pandas/Numpy/SciPy)

R

Excel / Google Sheets

Job description

Company Description

Scalable Capital is a leading digital investment and banking platform with a full banking licence, empowering people across Europe to shape their own finances. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs, cryptocurrencies, and derivatives, as well as set up savings plans. Scalable Wealth, the digital wealth management service, offers clients professional investment in ETF portfolios, and is also adopted as a white-label solution by banks and other B2B partners. The company’s offerings are rounded off by attractive interest rates, loans, and private equity. With the European Investor Exchange, Scalable Capital offers an exchange specifically for retail investors. Over one million clients have already entrusted more than €30 billion to the platform.
Founded in 2014, Scalable Capital now employs over 700 people across Munich, Berlin, Vienna, Milan, and London. Together with the founding and management team, including Erik Podzuweit and Florian Prucker, they are working on a new generation of financial services.

Visit our finance blog or check out our Social Media channels to find out what our Expert Teams have to say.
Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values here (English).

Job Description

• You will develop, implement, and maintain quantitative financial risk models and reporting tools, utilizing Python to translate complex statistical concepts into robust code
• You will execute rigorous validation processes (including sensitivity analysis, benchmarking, and stress testing) to continuously evaluate, challenge, and enhance model accuracy and performance
• You will take ownership of daily financial risk monitoring processes, systematically analyzing risk exposures, assessing compliance with internal limit frameworks, and generating reliable daily reports for senior management
• You will ensure all reporting tools and financial risk models remain strictly aligned with key regulatory frameworks (e.g., KWG, CRR, MaRisk, EBA guidelines)
• You will actively contribute to critical regulatory assessments, including ICAAP and ILAAP, and support the design, execution, and quantitative analysis of comprehensive stress testing scenarios
• You will continuously evaluate and optimize existing risk data pipelines and reporting scripts to improve the efficiency and accuracy of financial risk quantification methodologies and risk monitoring frameworks
• You will provide mentorship and technical guidance to interns, fostering a culture of continuous development

Qualifications

• You have completed a degree, preferably with a focus on mathematics, statistics or quantitative finance
• Several years of experience in a comparable role in the financial services industry
• You are highly proficient in financial modelling using Excel or Google Sheets
• You have hands-on experience using Python (including libraries such as Pandas, NumPy, or SciPy) and/or R for data analysis and implementation of statistical models
• You possess a strong aptitude for risk-oriented analysis and enjoy breaking down complex, quantitative topics into clear, actionable insights
• You are reliable, detail-oriented, and possess strong communication and analytical skills
• You work well in time-sensitive environments and know how to balance competing priorities
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