Develop and improve counterparty credit risk models, investigate derivatives pricing, source and analyse trade and market data, develop production implementations in Python, interpret regulatory requirements, write documentation and support validation and approval processes.
Responsibilities
Develop and improve counterparty credit risk models
Investigate derivatives pricing and exposure behaviour
Source, reconcile and analyse trade and market data
Develop production implementations in Python
Interpret relevant regulatory requirements
Requirements
Bachelor's or higher degree in mathematical finance, mathematics, statistics, physics, engineering or econometrics
Design, build, and maintain data lineage and Gen AI/LLM-powered systems for large, multi-language codebases, owning backend services, deployment pipelines, and user-facing interfaces.
Compensation
$94,300.00 - $141,500.00
Responsibilities
Design and build engines that parse multiple programming and query languages to extract accurate, column-level data lineage.
Build Gen AI/LLM-powered retrieval and assistant capabilities on top of lineage and metadata.
Develop backend services and interfaces that expose them, from data processing through to user-facing views.
Own the delivery pipeline—build, test, deployment, and production support across environments.
Translate ambiguous requirements into clean, efficient, well-structured designs.
Requirements
Bachelor’s degree/University degree or equivalent experience
The Software Engineer will operate in a fast‑paced innovation environment, rapidly developing and validating proof‑of‑concepts for advanced AI and machine learning use cases.
Compensation
$86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Responsibilities
Hands‑on data exploration
Prototyping
Workflow automation
Contributing to secure, well‑governed MLOps practices
Evaluating emerging tools
Requirements
Bachelor's degree in Computer Science or related field
Master's degree in Computer Science or related field
The role involves defining methodologies, tools, and automation for automotive microcontroller software development and validation, focusing on Python-based frameworks and GenAI solutions.
Responsibilities
Define and evolve development and validation methodologies for automotive microcontroller software, and turn them into practical tools, templates, and automated workflows.
Gather requirements from software, validation, and platform teams, and translate them into architecture, detailed design, and high-quality implementation.
Design, develop, and maintain Python-based frameworks, CLI tools, libraries, and services that automate build, configuration, code generation, test, and validation activities.
Design and build agentic AI pipelines that automate engineering tasks
Build GenAI solutions using prompt engineering, retrieval-augmented generation (RAG) over specifications and code bases, embeddings and vector search, and tool-calling and multi-agent orchestration.
An Engineering Manager will run an effective team, develop colleagues, review code as a leader, and facilitate technical delivery for MLOps and Analytics projects.
Compensation
We consider geographical location, experience, and performance in shaping compensation worldwide. In addition to base pay, we offer a performance-driven annual bonus.
Responsibilities
Manage a distributed team of engineers and its MLOps/Analytics portfolio
Organize and lead the team’s processes in order to help it achieve its objectives
Conduct one-on-one meetings with team members
Identify and measure team health indicators
Interact with a vibrant community
Requirements
Exceptional academic track record from high school and preferably university
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