Machine Learning Consultant

We are seeking a highly skilled and experienced Machine Learning Consultant to join our financial services team. The ideal candidate will bring expertise in designing, developing, and implementing machine learning solutions that drive innovation, improve decision-making, and enhance operational efficiency. This role requires a deep understanding of financial data, regulatory frameworks, and cutting-edge ML technologies.

Key Responsibilities:

1. Solution Design and Development
   • Collaborate with cross-functional teams to identify business challenges and opportunities for machine learning applications in areas such as credit risk, fraud detection, customer segmentation, and portfolio optimization.
   • Develop and deploy machine learning models to address specific business needs while ensuring scalability and robustness.
2. Data Analysis and Preprocessing
   • Collect, clean, and preprocess structured and unstructured financial data from diverse sources.
   • Implement feature engineering techniques to optimize model performance.
3. Model Validation and Optimization
   • Validate and fine-tune models to ensure accuracy, fairness, and compliance with financial regulations.
   • Perform model performance evaluations and implement updates to maintain effectiveness in dynamic market conditions.
4. Stakeholder Collaboration
   • Communicate technical findings and insights to non-technical stakeholders, providing actionable recommendations.
   • Work closely with risk management, compliance, and IT teams to ensure models align with organizational goals and regulatory requirements.
5. Research and Innovation
   • Stay updated on the latest advancements in AI/ML technologies, particularly those relevant to financial services.
   • Prototype and test emerging ML techniques to evaluate their potential impact on business processes.
6. Governance and Compliance
   • Ensure all ML solutions comply with relevant regulations
   • Maintain detailed documentation for models, methodologies, and processes.

Qualifications:

1. Education:
   • Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Mathematics, or a related field. Ph.D. is a plus.
2. Technical Skills:
   • Proficiency in programming languages, preferably Python.
   • Experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
   • Strong knowledge of data manipulation and visualization tools (e.g., Pandas, NumPy, Matplotlib).
   • Expertise in working with financial data and time-series analysis.
3. Industry Experience:
   • Minimum 3-5 years of experience in machine learning, preferably in the financial services industry.
   • Hands-on experience in developing models for credit scoring, fraud detection, or trading algorithms.
4. Soft Skills:
   • Strong analytical and problem-solving skills.
   • Excellent communication and presentation abilities.
   • Collaborative mindset with the ability to work across teams.