# Correlation and Causality Engineer at Avaloq

Avaloq is hiring a Correlation and Causality Engineer. Level rates it Works on AI ●●●○; you can [apply on Avaloq](https://jobsbylevel.com/go/6d63cfee-5ece-4893-ae1d-986d2c604f33?utm_medium=ai-agent).

AI Level 3, AI centrality 67 out of 100. Makati City, National Capital Region, Philippines.

## Details

- Company: [Avaloq](https://jobsbylevel.com/companies/avaloq)
- AI level: AI Level 3 (score 67 out of 100)
- Location: Makati City, National Capital Region, Philippines
- Posted: October 30, 2026
- Apply: https://jobsbylevel.com/go/6d63cfee-5ece-4893-ae1d-986d2c604f33?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=correlation-and-causality-engineer-at-avaloq-36e0bc

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/correlation-and-causality-engineer-at-avaloq-36e0bc

## Description

Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 10 countries, and more than 160 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues. We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world’s leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential. As a Correlation and Causality Engineer you will be part of a team that is responsible for designing and implementing solutions that provide insights, using observability data, to the entire Avaloq. You will combine software engineering and applied AI to turn large volumes of logs, metrics and traces into actionable knowledge: detecting correlations, inferring root causes and anticipating incidents before they impact our clients. You need to deeply understand how Avaloq works, how the observability stack is operated, how data is collected and how it can be used. This role requires strong technical expertise and hands-on experience in software development and AI, mainly to develop correlation and inference solutions, including data-driven models and LLM-based applications that run on our own infrastructure. Your key tasks Correlation, Causality and Inference Solutions Design and Implement: build correlation, root-cause analysis and inference solutions that link events, metrics, logs and traces across the Avaloq landscape, turning raw observability data into meaningful insights Data-Driven Models: design, train, evaluate and maintain machine learning and statistical models (e.g. anomaly detection, time-series analysis, causal inference) built on observability data Productionization: develop robust, scalable and maintainable services in Java and Python, taking models from prototype to production AI and LLM Solutions LLM-Based Applications: design and implement solutions leveraging Large Language Models and related tooling (e.g. RAG, agents, tool/function calling, embeddings, vector stores) to support incident analysis, troubleshooting and knowledge discovery Local AI: select, deploy, fine-tune and operate AI models and LLMs on local/on-prem infrastructure, ensuring performance, cost-efficiency, security and data privacy Quality and Evaluation: define metrics and processes to evaluate the accuracy, reliability and explainability of AI-based solutions, and continuously improve them Observability Data and Collaboration Data Exploration: work with the observability stack (Prometheus, OpenTelemetry, Loki, Grafana) to understand what data is available, its quality and how it can be best exploited Internal Consultancy: interact with teams across the company (DevOps, SRE, application development, product and operations) to understand their needs and identify where correlation, causality and AI can deliver the most value Stakeholder Engagement: communicate complex technical insights clearly to stakeholders, enabling informed decision-making and prioritization of new use cases Engineering Excellence Software Engineering Practices: apply high engineering standards, including code reviews, testing, documentation and version control with Git CI/CD and Automation: build and maintain CI/CD pipelines (e.g. Jenkins, GitLab/GitHub) for the automated build, test, deployment and monitoring of applications and models Operations: deploy and run solutions on containerized platforms, and contribute to the reliability, monitoring

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/correlation-and-causality-engineer-at-avaloq-36e0bc

Source: https://jobsbylevel.com/jobs/correlation-and-causality-engineer-at-avaloq-36e0bc

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Level. https://jobsbylevel.com/jobs/correlation-and-causality-engineer-at-avaloq-36e0bc.

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