Machine Learning Consultant
Quant Capital
Overview
In this role you will lead predictive analytics initiatives for a major financial software client, shaping data strategy and delivering production ML solutions. You’ll work with cross-functional business SMEs to translate ambiguous needs into actionable data products. Expect to tackle credit risk, fraud, collections and marketing analytics, and contribute to R&D projects in the digital space. This is a high-velocity, production-focused consultancy role at a tech-forward fintech environment with a strong emphasis on impact and ownership.
Responsibilities- Implement ML-based solutions for corporate clients and ensure production delivery
- Define data architecture and data management requirements with business stakeholders
- Extract and model data from diverse and unclean sources for analytics
- Present data-centric solutions and design robust architectures
- Consult on data strategy, KPIs, and reporting outputs
- Lead or contribute to R&D projects in the digital space
- >2 years professional experience in data science / ML consultancy
- Client-facing consultancy experience and ability to clarify ambiguous requirements
- Strong foundation in probability and statistics
- Experience with ML techniques (linear/logistic regression, boosting, kNN)
- Python proficiency
- Experience with ML frameworks (TensorFlow, scikit-learn, Theano, Caffe, Torch)
- Delivery of production ML solutions, not just analyses
- client-facing communication
- ability to shape ambiguous requirements
- stakeholder management
- machine learning
- probability and statistics
- Python
Reference: WJ-747_30181264