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For Companies At a Glance
- Tasks: Join our Data Engineering team to build and maintain data processes that drive investment decisions.
- Company: We're a leading proprietary trading firm focused on innovative technology and trading strategies.
- Benefits: Enjoy a fast-paced environment with opportunities for mentorship and impactful projects.
- Why this job: Be at the forefront of data innovation, collaborating with diverse teams to shape our competitive edge.
- Qualifications: 3+ years in software development, proficiency in Python, and experience with data technologies required.
- Other info: Ideal for self-driven individuals ready to take ownership of projects from day one.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Quantitative Software Engineer – Data Engineering
Our client is a leading proprietary trading firm that is seeking a Quantitative Software Engineer to join their Front Office Data Engineering team. The firm’s team integrates innovative technology and trading strategies while utilizing a sophisticated research platform and development environment to realize consistent trading alphas.
As a Quant Data Engineer, you’ll collaborate closely with various departments within the organization and your primary responsibility will involve constructing and maintaining data ingestion processes of varying complexity that drive investment decisions and support critical operations.
In this dynamic role, you’ll also be involved in developing and managing the platforms, tools, and systems essential for running and monitoring these processes. The ideal candidate will thrive in a fast-paced environment, enjoy direct interaction with business stakeholders, and excel at delivering results under pressure.
Responsibilities:
- Be a key player in the newly established and fast-growing Data Engineering team, driving the future of data innovation across the company.
- Spearhead the design and expansion of a cutting-edge data platform, seamlessly integrating diverse data sources for real-time, operational, and research-driven insights.
- Partner with Trading, Quant, Technology, and Business Operations teams to deliver high-impact data projects that shape our competitive edge.
- Architect and deploy advanced batch and streaming data pipelines using Kubernetes/EKS, Kafka/MSK, and Databricks/Spark within a dynamic hybrid cloud environment.
- Inspire and mentor junior engineers, setting the standard for excellence in software and data engineering practices.
- Craft clean, robust, and meticulously documented code, ensuring the reliability of mission-critical applications.
- Lead the creation of automated data validation suites, upholding the highest standards of data quality, availability, and accuracy in line with strict SLAs.
Requirements & Qualifications:
- 3 plus years of professional experience in software application development from a tier 1 investment bank, hedge fund, or proprietary trading firm.
- Proficiency in Python is a strong advantage.
- Self-driven and ready to take ownership of impactful projects from day one.
- Hands-on experience with data platforms and technologies like Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino.
- Proven track record of building large-scale batch and streaming pipelines with stringent SLA and data quality standards.
- Strong communication, analytical, and problem-solving abilities.
- Experience working with diverse data sets and frameworks across various domains; financial data experience is a plus but not required.
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Quantitative Software Engineer - Data Engineering employer: Algo Capital Group
Contact Detail:
Algo Capital Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Software Engineer - Data Engineering
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as Kubernetes, Kafka, and Spark. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the proprietary trading and data engineering fields. Attend industry meetups or webinars to connect with people who work at similar firms, as they might provide insights or even referrals for open positions.
✨Tip Number 3
Prepare to discuss your past projects in detail, especially those involving data ingestion processes and pipeline construction. Be ready to explain the challenges you faced and how you overcame them, as this demonstrates your problem-solving abilities.
✨Tip Number 4
Showcase your ability to work under pressure by sharing examples of high-stakes projects you've managed. Highlight your communication skills and how you collaborated with different teams to achieve successful outcomes.
We think you need these skills to ace Quantitative Software Engineer - Data Engineering
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and qualifications required for the Quantitative Software Engineer position. Tailor your application to highlight relevant experiences that align with these requirements.
Highlight Technical Skills: Emphasize your proficiency in Python and any experience you have with data platforms and technologies mentioned in the job description, such as Delta Lake, Spark, Kubernetes, and Kafka. Provide specific examples of projects where you've utilized these skills.
Showcase Collaboration Experience: Since the role involves partnering with various teams, include examples of past collaborations with different departments. Highlight how you contributed to high-impact projects and the results achieved through teamwork.
Craft a Strong Cover Letter: Write a compelling cover letter that not only summarizes your qualifications but also expresses your enthusiasm for the role and the company. Mention why you are particularly interested in working in a fast-paced trading environment and how you can contribute to their data innovation efforts.
How to prepare for a job interview at Algo Capital Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data platforms and technologies like Delta Lake, Spark, and Kubernetes. Highlight specific projects where you've built large-scale batch and streaming pipelines, as this will demonstrate your hands-on expertise.
✨Emphasize Collaboration
Since the role involves partnering with various teams, share examples of how you've successfully collaborated with different departments in previous roles. This will show that you can work well in a team-oriented environment.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss challenges you've faced in past projects and how you overcame them. This will highlight your analytical skills and ability to deliver results under pressure, which is crucial for this fast-paced role.
✨Ask Insightful Questions
At the end of the interview, ask questions that reflect your interest in the company's data innovation goals and future projects. This shows that you're not only focused on the role but also invested in the company's vision.
