Senior Data Scientist, Scalable Capital

Salary not provided
AWS
Python
Scikit-Learn
Plotly
PyTorch
Sagemaker
Senior level
Remote in Germany
Scalable Capital

Digital investment platform

Be an early applicant

Scalable Capital

Digital investment platform

201-500 employees

FintechB2CCryptocurrencyPersonal financeInvestingTrading

Be an early applicant

Salary not provided
AWS
Python
Scikit-Learn
Plotly
PyTorch
Sagemaker
Senior level
Remote in Germany

201-500 employees

FintechB2CCryptocurrencyPersonal financeInvestingTrading

Company mission

Scalable Capital's mission is to provide people with professional, intelligent, and at the same time cost-effective solutions for wealth creation, trading and investing.

Role

Who you are

  • If you are a professional in data science with business understanding and keen on working in the fast paced environment of a FinTech company, this position in our growing Data Department is for you!
  • University degree in a data science related field, e.g., computer science, mathematics, statistics, or natural sciences and relevant working experience
  • Data-driven mindset and good with numbers whilst being able to explain complex concepts in simple terms
  • Very good programming skills in Python
  • Confident in programming with modern data science and visualisation libraries such as scikit-learn, pytorch, transformers, bayesian statistics (eg., lightweight mmm or pymc3), plotly, matplotlib, …
  • Good knowledge of modern supervised and unsupervised machine learning algorithms (e.g., tree-base models, deep learning, natural language processing, recommender systems, XAI) but also classical statistical models like regression techniques
  • Experience with cloud services (e.g., AWS), MLOps, and version control
  • Strong project management and organisational skills paired with excellent problem solving skills and hands on mentality
  • Strong commitment to teamwork and resilience in a creative and constantly changing environment
  • Eager to extend your knowledge on modern data science algorithms and technologies continuously
  • Sense of humour
  • Familiarity with AWS landscape: SageMaker, Lambda, API Gateway, ECS is a plus
  • Experience with marketing mix modelling is a plus
  • Interest in financial services and markets is a plus

What the job involves

  • As a Data Scientist at Scalable Capital you will contribute significantly to generating tremendous business value through modern machine learning technologies
  • You will identify and work on use cases together with stakeholders throughout the company, e.g. , Marketing, Client Support or Compliance
  • Develop and implement data solutions of significant business value by utilising both advanced statistical or machine learning models and classical, pragmatic descriptive solutions
  • Collaborate with cross-functional teams from your tribe but also product, engineering, and marketing teams, to identify new opportunities for data-driven innovation
  • Collaborate with cross-functional teams including product, engineering, and marketing teams, to identify new opportunities for data-driven innovation
  • Take proactive responsibility for end-to-end implementation (brainstorming and idea generation, implementation, testing, deployment, maintenance)
  • Drive continuous improvements and optimization of data science models and pipelines
  • Work on a modern cloud (AWS) stack and contribute to decisions on which technology to use
  • Communicate findings and advanced analytics concepts to stakeholders in a clear and effective manner
  • Work in an ego-free environment and be part of a motivated, fast-paced, and result-driven agile team with highly ambitious and intelligent people in our growing data analytics department
  • Stay up to date with the latest industry developments and technologies

Our take

Interest around investing in digital assets is increasing steadily due to innovations in fintech smartphone applications and the popularity of blockchain finance such as cryptocurrency. While stocks and cryptocurrency have a lot to do with this increase in popularity, it has also led to new investors learning about ETFs and index funds, meaning more people are looking for easier ways to invest.

Scalable Capital provides a free smartphone application for the investing and trading of stocks, cryptocurrencies, commission-free ETFs, and index funds, with subscription fees providing commission-free stock trading. The application also features a machine learning-driven robotrading service called Smart Predict to aid in improving users' limit and stop orders.

Whilst several other European investment platforms focus on commission-free trading, Scalable Capital has taken a fresh perspective by focusing on providing commission-free ETF investment. By doing this, the company encourages smart long-term ETF investments over riskier day-trading, tapping into a more mature market than applications focused on stocks. With further growth expected in 2024 after impressive Series E funding, Scalable Capital is carving out its market share.

Kirsty headshot

Kirsty

Company Specialist

Insights

Top investors

Some candidates hear
back within 2 weeks

1% employee growth in 12 months

Company

Funding (last 2 of 7 rounds)

Dec 2023

$64.7m

SERIES E

Jun 2021

$180m

SERIES E

Total funding: $375.5m

Company benefits

  • Remote working opportunities - collaborate with your team no matter where you are in Germany: the majority of our jobs can be done working from home. So if you aren't near one of our physical locations in Germany, check out if your job is eligible remotely
  • Join an international and diverse, inclusive community - be part of a network of highly talented, diverse and motivated people, from more than 30 nationalities. We enjoy regular office parties & after work drinks, BBQs in the summer, weekly runs and much more
  • Lounge around - take a break to relax on our terrace in Munich or in the Beergarden downstairs in Berlin. Enjoy fresh fruits, soft drinks, and tea daily, and if want, develop your Barista skills with our Espresso machine
  • Gear and perks - work with the latest hardware (including a MacBook Pro or equivalent and your choice of headphones). We also support your workplace with the equipment that you need, either in the offices or at home
  • Learn and grow - develop yourself further with a personal education budget and in-house knowledge sharing sessions with catered lunch. If you want to learn or improve your German language skills, you will like the free classes right in the office or our support for online classes
  • Have an impact - ship features to thousands of users and work with leading financial institutions across Europe on a regular basis. Transform with us the traditional finance industry with the aim of democratizing investment management and brokerage

Company values

  • We value other people’s money
  • We boldly think backwards
  • We dance like nobody's watching but run our company like everyone is
  • We believe in access and freedom of choice
  • We are here to make things simpler
  • We are owners
  • We want you to come as you are
  • We know that people are all we’ve got
  • We never assume
  • We work as a team
  • We are on time or arrive sweaty
  • We believe finance is a strong lever to advance climate change goals
  • We believe in beauty
  • We are humble

Company HQ

Altstadt-Lehel, Munich, BY

Leadership

Erik Podzuweit

(Co-founder & Co-CEO)

Experience as a Financial Analyst and Executive Director/VP for Goldman Sachs. Former Co-CEO (Germany) at Westwing Home & Living.

Florian Prucker

(Co-founder & Co-CEO)

Vice President of Goldman Sachs from 2008 to 2014.

Patrick Pöschl

(Co-founder)

Experience as Asset Structurer for Goldman Sachs from 2009 to 2014. Co-founded Scalable Capital in 2014.

Simon Miller

(Co-founder & Head of Broker International)

Experienced as Base Metals Derivatives Trader for Barclays from 2008 to 2015. Co-founded Scalable Capital in 2014 as Business Developer.

Stefan Mittnik

(Co-founder)

Experience as Professor at Ludwig-Maximilians-University Munich from 2003. Co-founded Scalable Capital in 2014.

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