Financial Data Engineer (Remote)

About Quanted:

Quanted is a startup dedicated to transforming how quants at hedge funds, investment banks, and asset management firms source and test data at scale. Our platform enables professionals to test vast amounts of data in 30 minutes or less, uncover non-linear correlations affecting their models, and seamlessly integrate data into their pipelines with provided code snippets. We are committed to simplifying the data evaluation process and providing tailored insights that give our clients a competitive edge.

Job Description:

We are seeking a talented Data Engineer with a strong background in financial data systems to join our growing team. This role is ideal if you’re someone who enjoys building and optimising data pipelines and database architectures that are specifically tailored to the needs of financial markets. Your expertise in managing and processing financial datasets, along with your familiarity with industry-standard technologies used by hedge funds and data vendors, will be crucial in helping us serve our clients more effectively.

Key Responsibilities

Design and Develop Data Pipelines: Build and refine scalable data pipelines to manage the complexities of financial market data, supporting high-stake decisions in real-time — ensuring that big data is never a big problem. Tailor ETL processes uniquely suited for financial contexts, prioritising accuracy and compliance.

Database Architecture: Design database schemas that are not only robust but perfectly aligned with the fast-paced with performance and scalability needs of financial markets, ensuring data is accessible when and where it’s needed. Work with both relational and non-relational databases.

Financial Data Handling: Take the lead in managing, processing and safeguarding large volumes of financial data, adhering to the strictest and latest standards of quality and compliance in financial data.

Integration and Collaboration: Collaborate with data scientists and software engineers to integrate your robust data solutions seamlessly into our platform. You’ll also provide code snippets and documentation that assist clients to seamlessly adopt, process data and integrate our data insights.

Tools and Technologies: Utilise best in class tools like Snowflake for data warehousing alongside efficient workflow management via tools like Apache Airflow, to ensure our data pipelines are nothing short of excellent.

Performance Optimisation: Proactively monitor and optimize the system to manage financial data effectively, ensuring both low latency and high throughput. Your role involves implementing industry best practices for optimal data storage and retrieval.

Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field with a strong emphasis on data systems.

Experience: At least 3 years in data engineering, with a proven track record in financial sector and solid experience in building and maintaining robust data pipelines and databases.

Technical Skills:

• Proficiency in programming languages such as Python and SQL.
• Experience with data pipeline tools like Apache Airflow, Luigi, or KubeFlow
• Familiarity with database systems like PostgreSQL, MySQL, MongoDB, and data warehousing solutions like Snowflake
• Knowledge of big data technologies such as Apache Spark, Hadoop, or Kafka
• Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud Platform).

Financial Data Experience: Have a deep understanding of financial datasets and market data, with hands-on experience in working closely with financial data vendors and understanding their schemas.

Soft Skills: Showcase strong problem-solving abilities and analytical skills, excellent communication and teamwork capabilities, and the ability to thrive in a fast-paced, collaborative environment.

Preferred Qualifications:

• Experience with modern containerisation tools like Docker and orchestration platforms like Kubernetes
• Familiarity with version control systems (e.g.,Git) and CI/CD pipelines.
• Knowledge of data security best practices and compliance standards in the financial industry.
• Experience with RESTful APIs and data integration techniques.
• Understanding of non-linear correlations and statistical analysis.

What We Offer

Competitive Compensation: Attractive salary package with potential equity options.

Professional Growth: Access to the latest tools and tech in data engineering, with abundant learning opportunities.

Work Environment: Flexible hours and remote work options in a supportive and inclusive company culture.

Quanted is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.