Q
Quix Recruitment Group
Posted 55 days agoVerified live 14h ago

Quantitative ML Consultant (Contract)

Brief overview

Remote
MastersOr in progress
4+ yrsMinimum
Machine learningPythonscikit-learnPyTorchTensorFlowCloud deploymentContainerizationLarge-scale data processingFeature engineeringStatistical modelingML model validationFinancial domain expertise

About the company

Q
Quix Recruitment Groupquixrecruitment.com

Quix Recruitment is a privately owned firm specialising in permanent, interim, and contract recruitment for high-value roles in leadership, compliance, risk, and artificial intelligence.

Job description

Summary

Quix Recruitment Group 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. The role involves collaborating with researchers to develop strategies, building and deploying models, and optimizing data workflows.

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

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
  • Analytical thinker with strong problem-solving skills
  • Self-motivated and organized in managing multiple projects
  • Effective communicator and collaborative team player

Qualifications

Must Haves

  • 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
  • Analytical thinker with strong problem-solving skills
  • Self-motivated and organized in managing multiple projects
  • Effective communicator and collaborative team player

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