At a Glance
- Tasks: Design and optimise high-frequency trading algorithms for cryptocurrencies using Java.
- Company: Join Fasanara Digital, a leading crypto investment firm with a collaborative culture.
- Benefits: Enjoy competitive bonuses, health benefits, generous leave, and fun team events.
- Other info: Dynamic environment with opportunities for growth and innovation in cryptocurrency markets.
- Why this job: Make an impact in the fast-paced world of crypto trading while working with top talent.
- Qualifications: 5+ years in software development, strong Java skills, and a background in quantitative fields.
The predicted salary is between 59400 - 72600 £ per year.
Fasanara Digital was established 7 years ago and is the crypto arm of Fasanara Capital, a 14year-old boutique alternative asset manager.
We are a Quantitative Investment fund applying a scientific approach to investing in crypto assets.
Our goal is to achieve exceptional risk-adjusted returns.
We pursue a range of diversified and highly sophisticated investment strategies that seek to profit from ine Aiciencies in the market structure and range from market making to cross-exchanges arbitrage.
Our Culture We are strong believers in meritocracy, and we reward people based on impact and excellence.
There is no bureaucracy of large organisations, the environment is collaborative, entrepreneurial, and is based on trust.
We set ambitious goals, work hard, stress teamwork, and adhere to the highest level of excellence in everything we do.
We are only as good as our team.
Thus, we are building the firm around exceptional talent.
Position
Overview: As a Front-Office Developer, specialising in high-frequency trading for cryptocurrencies, you will play a critical role in designing, implementing, and optimising trading algorithms and infrastructure.
Leveraging your expertise in software development, mathematics, and low-latency systems, you will contribute to the continuous enhancement of our trading platform and the execution of sophisticated trading strategies in the digital asset markets, as well as collaborating with the quant and trading team to bring their ideas into production.
Key
Responsibilities: Develop and maintain high-performance trading algorithms and infrastructure using Java, ensuring optimal speed, efficiency, and reliability in a high-frequency, cloud deployed trading environment.
Collaborate with quantitative researchers and traders to translate trading strategies into scalable and robust software solutions, implementing complex mathematical models and optimisation techniques.
Optimise memory usage and resource allocation in trading systems components to maximise performance and minimise latency, leveraging advanced techniques such as memory pooling, off heap buffering, and cache optimisation.
Conduct thorough testing and validation of trading algorithms in simulated and live trading environments, analysing performance metrics and making real-time adjustments to optimise trading strategies.
Stay up to date with industry trends, technological advancements, and regulatory developments in the cryptocurrency and high-frequency trading space, continuously enhancing our trading platform and competitive edge.
Bachelor s, Master s, or Ph.
D. degree in computer science, mathematics, engineering, or a related quantitative field.
Minimum of 5 years of experience in software development with a focus on high-performance Java, preferably in a high-frequency trading environment or at a top-tier financial institution.
Strong understanding of data structures, algorithms, and memory optimisation techniques, with a proven track record of developing memory-efficient software solutions.
Proficiency in quantitative mathematics and statistical analysis, with experience in implementing mathematical models and algorithms for trading and risk management.
Experience with cryptocurrency markets, trading platforms, and blockchain technology is a plus but not required.
Excellent problem-solving skills, analytical thinking, and attention to detail, with the ability to thrive in a fast-paced, collaborative environment.
Strong communication skills and the ability to effectively convey complex technical concepts to both technical and non-technical stakeholders.
Competitive bonus scheme.
Bupa health dental, Cycle to Work scheme, enhanced pension, and generous annual leave.
Enhanced parental leave, special leave allowances, and charity giving options.
Regular team events, legendary summer Christmas parties, knowledge sharing sessions, and quarterly town halls.
Team lunches, dinners, Friday drinks, team sport activities.
ICT Data Developer employer: Fasanara
Fasanara is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the Head of Marketing & Growth role in the UK. With a strong emphasis on employee development and collaboration, you will have the opportunity to shape impactful marketing strategies while leveraging cutting-edge AI technology. The company values creativity and offers a supportive environment where your contributions directly influence the growth trajectory of the business.
StudySmarter Expert Advice🤫
We think this is how you could land ICT Data Developer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Fasanara!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Fasanara.
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We think you need these skills to ace ICT Data Developer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Fasanara, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Fasanara. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Fasanara
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Fasanara!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
