Quantitative ML Consultant (Contract)

Job Description Job Description Quix Recruitment is partnering with a high-growth fintech firm to hire a Quantitative ML Consultant to design and implement advanced machine learning solutions for financial applications. Key Responsibilities

• Collaborate with quantitative researchers and team members to develop ML-driven strategies.

• Build, test, and deploy statistical and ML models on production systems.

• Optimize feature engineering pipelines and data workflows.

• Advise on best practices for ML model validation and performance monitoring.

• Share knowledge with team members and support project delivery.

Experience & Skills

• Master's or PhD in a quantitative field (CS, Statistics, Mathematics, or related).

• 4+ years of experience applying ML in financial or data-intensive domains.

• Expertise in Python and ML frameworks (scikit-learn, PyTorch, TensorFlow).

• Experience with cloud deployment, containerization, and large-scale data processing.

Competencies

• Analytical thinker with strong problem-solving skills.

• Self-motivated and organized in managing multiple projects.

• Effective communicator and collaborative team player.

Contract Details Duration: 9 months (with possible extension) Hours: Full-time (remote, 40 hours/week) Confidentiality Statement: At Quix Recruitment, we prioritise confidentiality throughout the recruitment process. We understand the sensitivity of exploring new career opportunities while currently employed. Rest assured that when you apply through Quix Recruitment, your application is kept completely confidential from both your current employer and the hiring company. If we determine that you might be a good fit for the position, we will arrange a confidential call with you to discuss the opportunity in more depth. Only after obtaining your permission will we share your CV with the hiring company. Disclaimer: Please note that all personal information collected during the application process will be used for recruitment-related purposes only. We are committed to protecting your privacy and will not disclose your information to any third parties without your consent.