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- Tasks: Join our Data Team to develop and model diverse datasets using Python.
- Company: iSAM, a leading fintech firm in quantitative trading.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative team culture with a focus on innovation and ownership.
- Why this job: Make an impact in a fast-paced environment with cutting-edge technology.
- Qualifications: 3+ years in software engineering and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
iSAM is an innovative financial technology firm specialising in quantitative trading, comprised of iSAM Funds and iSAM Securities. iSAM Securities, regulated by the FCA, SFC, and CIMA, is a leading algorithmic trading firm and trusted electronic market maker, providing liquidity, technology, and prime services to institutional clients and trading venues globally. The firm offers full-service prime brokerage and execution via its cutting-edge proprietary technology, as well as market-leading analytics, cleared through the group’s bank Prime Brokers. iSAM Funds is an alternative asset manager specialising in systematic investing. Each strategy is unique, provides a specialist quantitative approach, and is designed to deliver highly diversifying absolute returns for institutional portfolios.
About the Role: We are growing the Data Team at iSAM. This is a full stack python development role, focused on data. An ideal candidate would have enthusiasm for quantitative data and a drive to understand, model, and analyse a variety of datasets, collaborating across a fast-paced, multi-disciplinary team.
Responsibilities:
- Onboard, build and model datasets of varying frequency
- Explore data, conduct analysis and integrate data into our backtest framework
- Collaborate closely with quantitative researchers and the wider investment teams
- Production support for datasets in live trading
- Ongoing work to grow and develop the system across strategies and regions
Qualifications:
- 3+ years of commercial software engineering experience
- Strong python programming skills
- Experience with financial data, ideally equities, derivatives or other tradeable asset classes
- Experience working with data in quantitative investing and the ability to deliver practical solutions in imperfect data environments
- Familiarity with numerical python libraries e.g., numpy, pandas and polars
- SQL experience with any flavour of SQL
- Experience with version control, test driven development, linux and navigating and working in large codebase
- Flexibility to work across a variety of areas in a highly collaborative team and take significant ownership of tasks
Data Developer in London employer: iSAM
Contact Detail:
iSAM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Developer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at iSAM or similar firms. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or contributions to open-source, make sure to highlight them. We love seeing practical examples of your coding prowess, especially in Python and data handling.
✨Tip Number 3
Prepare for the technical interview! Brush up on your Python and SQL skills, and be ready to tackle some real-world data problems. We want to see how you think and solve issues, so practice makes perfect!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at iSAM.
We think you need these skills to ace Data Developer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Developer role. Highlight your Python skills and any experience with financial data. We want to see how your background aligns with what we do at iSAM!
Showcase Your Projects: Include any relevant projects or experiences that demonstrate your ability to work with datasets and quantitative analysis. We love seeing practical examples of your work, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter should reflect your enthusiasm for the role and the company. Tell us why you’re excited about working with data in a fast-paced environment like ours. Let your personality shine through!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at iSAM
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with libraries like NumPy and Pandas, as well as any projects where you've used them to manipulate financial data. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Understand the Financial Landscape
Familiarise yourself with the financial concepts relevant to the role, especially around equities and derivatives. Being able to speak knowledgeably about how data impacts trading strategies will show that you're not just a tech whiz but also understand the business side of things.
✨Showcase Your Collaborative Spirit
Since this role involves working closely with quantitative researchers and investment teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you took ownership of tasks and contributed to team success.
✨Prepare for Practical Scenarios
Expect to face practical questions or case studies during the interview. Think about how you would approach onboarding and modelling datasets or integrating data into a backtest framework. Being able to articulate your thought process will impress the interviewers.