At a Glance
- Tasks: Develop and implement machine learning models and data projects in a relaxed, innovative environment.
- Company: Exciting fintech company focused on credit risk technology with a chill vibe.
- Benefits: Competitive salary, flexible work-from-home options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on automation and data quality in a supportive atmosphere.
- Why this job: Join a pioneering team and shape the future of RiskTech while working with cutting-edge technologies.
- Qualifications: Degree in a relevant field and experience with Python, SQL, and ETL processes.
I am looking for a high quality Data Developer who has had some exposure to SQL to assist with core development of a proprietary technology. Our client is a well-funded Techstar Risk Technology business based in the credit risk space. The environment is relaxed and open, similar to that of Facebook or Google, allowing time to think and make the right decisions. This role is for those motivated by the sharp end of technology and the possibility of making serious money doing something they are passionate about.
Passionate about pioneering RiskTech and leveraging big data in credit risk, you are looking for the opportunity to use your analytics and programming skills to shape the vision and future of the organisation. You excel in an open environment where you will have the flexibility to work in a way that suits you best. With a passion for high-quality innovative businesses, you are experienced in working in multiple programming languages (including Python, R, and SQL) and agile development methodologies.
Day to day, the Data Engineer will:
- Work alongside the Risk and Analytics team to create and implement machine learning risk models and large scale data projects from inception to production.
- Build high quality datasets from raw data using some of the latest tools and technologies.
- Build and embed defined data models and data flows to the cloud.
- Drive large batch, streaming and machine learning applications from design to production.
- Contribute to the design, implementation and monitoring of our cloud data platform as well as innovative ways to ingest, process, store and analyse various data sources.
- Contribute to automation in the CI/CD pipelines, infrastructure management and configuration.
- Use various methods to transform raw data from multiple sources into useful data, improving quality, integrity and accessibility.
- Develop and test architectures that enable data extraction and transformation for predictive modelling.
- Automate any repeatable and error-prone data integrations and data preparation flows.
- Manipulate and clean data, fulfil daily ad-hoc data requests and troubleshoot difficult technical issues.
Data Engineers must have:
- 2:1 or above Hons. degree or equivalent in mathematics, computer science or comparable scientific discipline.
- Python
- Build ETL Pipelines (e.g., Airflow)
- Javascript
- Build and CI/CD tools
- Write SQL code
- Create and implement Rest APIs
- GIT and GIT branching
- BI Tools such as Looker, Qlik, Power BI, Tableau
- Containerisation technologies
- Google Cloud Platform (GCP): Data manipulation/transfer modules
- Reporting, data warehousing, data science and quantitative analysis techniques.
- Data warehousing, data modelling and the creation of meaningful data visualisations.
My client is based in Central London with flexible work from home options.
Data Engineer (Home-based) in London employer: Quant Capital
At Quant Capital, we pride ourselves on being an exceptional employer, offering a dynamic and innovative work environment that mirrors the culture of leading tech giants like Facebook and Google. Our London office fosters a collaborative atmosphere where employees are encouraged to think critically and make impactful decisions, while also providing ample opportunities for professional growth and mastery of cutting-edge technology in the trading operations space. With a focus on employee well-being and a commitment to excellence, we ensure that our team members are equipped with the tools and support they need to thrive in their roles.
