Quantitative Python Developer Job Description
We are seeking a skilled Quantitative Python Engineer to develop and enhance advanced modelling solutions, collaborating closely with cross-functional teams.
Job Responsibilities:
* Collaborate with risk management, product management, and engineering teams to design and deliver high-quality modelling solutions.
* Develop automated tests, technical documentation, and processes to meet stakeholder requirements.
* Lead technical design efforts and align solutions with enterprise architecture strategies.
* Identify, explore, and integrate tools and technologies to advance solution development.
* Estimate development efforts and ensure timely delivery of technical solutions.
* Maintain and enhance the quality, scalability, and stability of assigned projects.
* Serve as a steward of solution integrity, ensuring robust architecture and usability.
Experience Required:
* Minimum of 3+ years of experience delivering high-performing quantitative engineering solutions.
* Advanced expertise in Python development.
* Proven experience delivering solutions on AWS platforms, leveraging serverless and cloud-native architectures.
* Track record of leading innovation activities and proof-of-concept exercises.
* Strong understanding of modern technology stacks and solution evaluation.
* Ability to lead technical discussions and adopt new technologies swiftly.
Desirable Skills:
* Familiarity with NoSQL databases and scalable cloud systems.
* Strong interpersonal and communication skills.
* Experience with agile development methodologies.
* Proven ability to evaluate and integrate third-party solutions.
Requirements:
* A degree in a quantitative discipline (e.g., Mathematics, Computer Science, or Natural Sciences) or equivalent industry experience.
* Advanced training or education in quantitative engineering is highly desirable.