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Quant Developer - Wealth Management(m/w/x)
Developing and automating a systematic robo advisor for billions in assets. Convex optimization and econometrics knowledge required. International relocation support, work from abroad option.
Requirements
- Excellent university degree in computer science, mathematics, natural sciences, or similar
- Knowledge in econometrics with emphasis on portfolio optimization and risk modelling
- Solid working knowledge of capital taxation basics
- Passion for global financial markets
- Experience with convex optimization, exposure to libraries like cvxpy, scipy or cvxopt
- Passion for Python
- Interest in tech stack: Docker, CI/CD pipelines, serverless architecture, Infrastructure as Code (Terraform), relational databases / SQL
- Experience with cloud providers like AWS
- Excellent communication skills: clear, concise, targeted
- Fluent English language skills (written & spoken)
- Proactive and independent working style, good time management, fair play
- Motivation for the role and fit for the position
Tasks
- Develop and automate a systematic wealth manager (robo advisor)
- Oversee several billion euros in assets under management
- Productionize algorithmic models for client requests and market movements
- Handle millions of trades in minutes using cost-effective burst computations
- Optimize risk, cost, and tax
- Implement smart rebalancing customizations
- Manage liquidity and security transitions
- Define and solve optimization problems
- Deploy models with comprehensive test coverage
- Develop taxation logic for pan-European growth
- Code in Python with a motivated team
- Drive transformative changes in the financial industry
- Work on cutting-edge technology
- Participate in modern software development practices
- Architect interfaces for seamless connectivity with external services
- Automate trading algorithms based on quantitative evidence
- Support and interact with various stakeholders
- Avoid using spreadsheet tools
Education
- Bachelor's degree
Languages
- English – Fluent
Tools & Technologies
- cvxpy
- scipy
- cvxopt
- Python
- Docker
- CI/CD pipelines
- serverless architecture
- Infrastructure as Code
- Terraform
- SQL
- AWS
Benefits
Other Benefits
- International relocation support
- Complimentary subscription of Scalable Capital's PRIME+ Broker
Flexible Working
- Work from abroad
Competitive Pay
- Attractive compensation package
Retirement Plans
- Company pension scheme
Public Transport Subsidies
- 50% monthly contribution for Deutschland Jobticket
Healthcare & Fitness
- Flexible and discounted sports activities with Urban Sports Club
Learning & Development
- In-house knowledge sharing sessions
- Free German language classes
Mentorship & Coaching
- Career development sessions
Additional Allowances
- Individual education budget
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Quant Developer - Wealth Management(m/w/x)
Developing and automating a systematic robo advisor for billions in assets. Convex optimization and econometrics knowledge required. International relocation support, work from abroad option.
Requirements
- Excellent university degree in computer science, mathematics, natural sciences, or similar
- Knowledge in econometrics with emphasis on portfolio optimization and risk modelling
- Solid working knowledge of capital taxation basics
- Passion for global financial markets
- Experience with convex optimization, exposure to libraries like cvxpy, scipy or cvxopt
- Passion for Python
- Interest in tech stack: Docker, CI/CD pipelines, serverless architecture, Infrastructure as Code (Terraform), relational databases / SQL
- Experience with cloud providers like AWS
- Excellent communication skills: clear, concise, targeted
- Fluent English language skills (written & spoken)
- Proactive and independent working style, good time management, fair play
- Motivation for the role and fit for the position
Tasks
- Develop and automate a systematic wealth manager (robo advisor)
- Oversee several billion euros in assets under management
- Productionize algorithmic models for client requests and market movements
- Handle millions of trades in minutes using cost-effective burst computations
- Optimize risk, cost, and tax
- Implement smart rebalancing customizations
- Manage liquidity and security transitions
- Define and solve optimization problems
- Deploy models with comprehensive test coverage
- Develop taxation logic for pan-European growth
- Code in Python with a motivated team
- Drive transformative changes in the financial industry
- Work on cutting-edge technology
- Participate in modern software development practices
- Architect interfaces for seamless connectivity with external services
- Automate trading algorithms based on quantitative evidence
- Support and interact with various stakeholders
- Avoid using spreadsheet tools
Education
- Bachelor's degree
Languages
- English – Fluent
Tools & Technologies
- cvxpy
- scipy
- cvxopt
- Python
- Docker
- CI/CD pipelines
- serverless architecture
- Infrastructure as Code
- Terraform
- SQL
- AWS
Benefits
Other Benefits
- International relocation support
- Complimentary subscription of Scalable Capital's PRIME+ Broker
Flexible Working
- Work from abroad
Competitive Pay
- Attractive compensation package
Retirement Plans
- Company pension scheme
Public Transport Subsidies
- 50% monthly contribution for Deutschland Jobticket
Healthcare & Fitness
- Flexible and discounted sports activities with Urban Sports Club
Learning & Development
- In-house knowledge sharing sessions
- Free German language classes
Mentorship & Coaching
- Career development sessions
Additional Allowances
- Individual education budget
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Scalable GmbH
Industry
FinancialServices
Description
Scalable Capital is a leading digital investment and banking platform, empowering people across Europe to shape their finances.
Not a perfect match?
- Scalable Capital
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Junior Investment Manager - Wealth(m/w/x)
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Senior Investment Consultant – Quantitative Investments(m/w/x)
Full-time/Part-timeWith HomeofficeSeniorFrankfurt am Main, München, Düsseldorf, Stuttgart, Hamburg