At a Glance
- Tasks: Develop scalable solutions and design data pipelines using Python, PySpark, and SQL.
- Company: Join a leading tech firm in the Middle East with diverse projects.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Collaborative Agile environment with strong focus on innovation and career development.
- Why this job: Make an impact in finance tech while working with cutting-edge tools and technologies.
- Qualifications: Advanced skills in Python and SQL, plus experience with APIs and cloud platforms.
The predicted salary is between 60000 - 80000 € per year.
We are hiring in the Middle East. There are many projects and opportunities in the region. Our team consists of frontend and backend developers, data analysts and data scientists, architects, analysts and project managers.
Responsibilities
- Develop and maintain scalable solutions using Python, PySpark, and SQL.
- Design and implement data pipelines (ingestion, transformation, modelling, data quality checks, automation).
- Build and integrate APIs (REST, SOAP, gRPC), including authentication and authorization.
- Contribute to application architecture design, applying best practices and design patterns.
- Implement Test-Driven Development (TDD) and ensure high code quality.
- Support and enhance CI/CD pipelines and DevOps processes.
- Work with cloud platforms (AWS, Azure) and data platforms such as Databricks and Palantir Foundry.
- Develop UI components and dashboards using Dash, JavaScript, and React.
- Integrate with market data and investment platforms.
- Support quantitative models and analytics (Monte Carlo simulations, pricing, risk, factor modelling).
- Contribute to portfolio management processes (asset allocation, rebalancing, attribution).
- Analyze complex datasets and deliver actionable insights for business and investment decisions.
- Gather and challenge business requirements, define solutions, and report on delivery progress.
- Collaborate within Agile teams, ensuring effective communication and alignment.
- Stay updated on emerging technologies and industry trends, proposing improvements.
- Balance short-term deliverables with long-term architectural goals.
SKILLS
- Must have: Python (Advanced), PySpark (Medium), SQL (Advanced), Dash (Python framework), JavaScript (Medium), React (Preferred), OpenFin / FTC3 (Preferred), Azure (Preferred), AWS (Medium), DataBricks (Preferred), Palantir Foundry (Medium), Test-driven Development (Advanced), CICD (Medium), DevOps (Advanced), Application Architecture design and development (Design patterns etc), Data Engineering (Ingestion, Curation, Modelling, Automation, Data Quality Checks) (Preferred), APIs (patterns, authorization, SOAP, REST, GRPC) (Advanced), Data Science (Preferred).
Domain Knowledge
- Knowledge / experience in financial markets and alternative asset classes (Hedge Funds).
- Knowledge / experience in end-to-end portfolio management (asset allocation, portfolio construction, rebalancing, implementation, attribution).
- Experience with sourcing data from, and integrating with, core investment and/or market data platforms.
- Knowledge / experience with Quant processes (Monte Carlo simulation, pricing engines, optimization techniques, factor modelling, risk).
Nice to have
- Ability to gather requirements, challenge, define structure and report upon status of deliverables.
- Strong collaboration and team culture, working in Agile delivery.
- Strong problem-solving skills and ability to effectively resolve issues in a timely manner.
- Excellent interpersonal skills, including collaboration, facilitation, and negotiation.
- Excellent written and verbal communication skills.
- Ability to balance the long-term ("big picture") and short-term implications of individual decisions.
Senior Quant Software Developer in London employer: Luxoft
As a Senior Quant Software Developer in the Middle East, you will join a dynamic team that thrives on innovation and collaboration, offering a vibrant work culture that values creativity and technical excellence. Our commitment to employee growth is evident through continuous learning opportunities and exposure to cutting-edge technologies, ensuring you stay at the forefront of the industry. With competitive benefits and a focus on work-life balance, we provide an environment where your contributions are recognised and rewarded, making it an exceptional place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quant Software Developer in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in quant software development. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with Python, PySpark, and SQL. Share specific examples of projects you've worked on that demonstrate your ability to develop scalable solutions and integrate APIs. Let your skills shine!
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding key concepts in data engineering and application architecture. Practice common interview questions and be ready to discuss how you've implemented TDD and CI/CD processes in your previous roles.
✨Apply Through Our Website
Don't forget to check out our website for the latest job openings! Applying directly through our site not only shows your interest but also helps us keep track of your application. Plus, it’s a great way to stay updated on new opportunities in the Middle East.
We think you need these skills to ace Senior Quant Software Developer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Quant Software Developer role. Highlight your experience with Python, PySpark, and SQL, and don’t forget to mention any relevant projects that showcase your skills in data pipelines and API integration.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background aligns with our needs. Mention specific technologies like Dash and React that you’ve worked with, and show us your enthusiasm for the financial markets.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in previous roles. We love candidates who can demonstrate their analytical thinking and ability to deliver actionable insights, especially in quantitative models and analytics.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Luxoft
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in Python, PySpark, and SQL, as these are crucial for the role. Brush up on your knowledge of APIs and cloud platforms like AWS and Azure, and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your problem-solving abilities, especially in relation to quantitative models and data analysis. Think about specific challenges you've faced and how you tackled them, particularly in an Agile environment.
✨Demonstrate Your Understanding of Financial Markets
Since the role involves working with financial data and portfolio management, be prepared to discuss your knowledge of hedge funds and alternative asset classes. Show that you can connect technical skills with business insights.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s projects and the company’s approach to emerging technologies. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
