Graduate Program

vor 7 Monaten

Munich, Deutschland Scalable GmbH Vollzeit

Company Description

Scalable Capital is a leading digital investment platform in Europe.
Since our foundation in 2014, we pursue the mission to empower everyone to become an investor. With the Scalable Broker, Scalable Wealth, Scalable Crypto and our solutions for B2B partners we offer easy and cost efficient investing for everyone.
Today, Scalable Capital is a FinTech unicorn - we have more than 600,000 customers and more than 15 billion Euros on our platform.

Visit our finance blog or tune in to our podcast (both in German) 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**:
**The program at a glance**
- Twelve months program: 3 rotations of 4 months each
- Choose your desired track: Product Management, Investment Management, Quantitative Investing, Data Analytics or Software Engineering
- Enroll in track-specific trainings and obtain recognised certifications
- Participate in extracurricular activities and events
- Connect with your program buddy, plan your next steps with your mentor and build a valuable network across teams
- After one year you will be well equipped to excel in your first off-program job and help to shape the future of investing.

If your passion is at the intersection of technology, finance and digital products and you want to kickstart your career, the Scalable Capital Graduate Program is just right for you.

**Quantitative Investing & Data Analytics Track**

Participating in the Quantitative Investing & Data Analytics Track of the Scalable Capital Graduate Program prepares you for a career in our Quantitative Investment, Financial Engineering and Data Science teams.

Become a Quantitative Strategist and member of the Scalable Capital Investment Committee. Investigate global financial markets, develop systematic trading strategies and use state-of-the-art technology to manage scalable investment solutions for thousands of clients’ portfolios. Contribute to the Scalable Capital Risk Management technology and bring innovative and data driven trading strategies to life with minimum costs under real world frictions like trading costs and taxes.

**Rotation 1: Data Analytics**
Start your program in our Data Science Team: Develop and contribute ideas for data-driven generation of significant business value. Implement modern data science models to produce insights to our constantly growing amount of structures and unstructured data. Select and prepare data from various sources needed for machine learning models. Convert data science ideas and models into productive data pipelines and tools on our AWS infrastructure. Be part of a motivated agile team with highly ambitious and skilled people in our growing data analytics department.
- What are you going to learn_

Learn how data science models bring business value for one of the fastest growing Fintech Companies in Europe. Become proficient in building scalable and automated data analyses using a state-of-the-art tech stack (Python, SQL, AWS, automated job scheduling, serverless computing). Get skilled in developing productive data pipelines and measuring success of data science use cases.

**Rotation 2: Financial Engineering**
You will develop fully automated trading algorithms that manage billions in assets driven by pure quantitative evidence. Development of discretionary and b2b wealth allocation models including risk, cost and tax optimization will be part of your daily challenges. You will customize smart rebalancing and cash-flow management strategies across multiple tax regimes in a serverless architecture. You will develop interactive web dashboards for trade monitoring, historical analysis and model validation.
- What are you going to learn_

**Rotation 3: Elective (Wealth Management / Trading / Engineering)**

The 3rd rotation in our Graduate Program is an elective one. This means, you can choose, e.g., from Wealth Management, Trading, or Engineering depending on your personal preference.

**Qualifications**:

- Excellent university degree in a quantitative discipline (e.g. statistics, financial mathematics, computational finance, engineering or a similar field)
- Experience from internships in the area of quantitative investing, software engineering, investment management and/or data science
- A strong knowledge in econometrics, statistical sciences and stochastic methods as well as risk theory with an emphasis on portfolio optimization
- Good programming skills in Python
- Confident in programming with modern data science libraries such as tensorflow, scikit-learn, pytorch,...
- Previous projects involving software development, software design, relational databases and version control software
- Familiarity with financial market data (e.g. Bloomberg, CRSP, FRED)
- Willingness to invest into personal learning and career development outside of work
- Fluent English language sk

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