Job Title:  Manager | AI / ML | Bengaluru | Regulatory & Financial Risk

Manager| SRT- RRF| AI/ML

·      Location:  Bengaluru

The team

Innovation, transformation and leadership occur in many ways. At Deloitte, our ability to help solve clients’  most complex issues is distinct. We deliver strategy and implementation, from a business and technology view, to help you lead in the markets where you compete. Learn more about our Risk Regulatory & Forensic Practice.

Your work profile

The Team

Deloitte Risk Advisory helps entities mitigate risk while discovering new opportunities to create value. Our end-to-end risk services span all domains, from managing strategic risks in the C-Suite to improving board oversight, and from balancing financial and environmental policies to addressing cyber threats.

Work you’ll do

In our team you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations. You’ll:

• Develop, validate, and monitor credit risk models. 
• Use LLM and AI models to enhance existing models and processes.
• Build machine learning models for credit risk prediction, fraud detection, and customer segmentation
• Perform data analysis and feature engineering using transactional, bureau, and alternative data
• Translate business problems into data science solutions aligned with risk and portfolio objectives
• Conduct model validation, back testing, benchmarking, and performance monitoring
• Ensure compliance with regulatory frameworks (preferred)
• Collaborate with Risk, Product, and Engineering teams to deploy models into production
• Develop and maintain early warning systems and risk monitoring dashboards

At Deloitte, we believe in the importance of leadership at all levels. We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society and make an impact that matters. 

In addition to living our purpose, employees at this level, across our organization:

• Builds own understanding of our purpose and values; explores opportunities for impact
• Demonstrates strong commitment to personal learning and development; acts as a brand ambassador to help attract top talent 
• Understands expectations and demonstrates personal accountability for keeping performance on track 
• Actively focuses on developing effective communication and relationship-building skills
• Understands how their daily work contributes to the priorities of the team and the business

Key skills required: 

In order to be considered for the role, your competencies will cover the broad scope of business modelling services, leveraging your professional background and skills such as:

Technical Skills

• Proficiency in Machine Learning Model Development, including:
• Supervised and unsupervised learning (Logistic Regression, Random Forest, XGBoost, Clustering)
• Model selection, tuning, validation, and deployment
• Feature engineering and model interpretability (SHAP, LIME)
• Using LLM and AI to enhance existing ML models.
• Strong foundation in Statistical Techniques:
• Regression, time series, survival analysis, hypothesis testing
• Strong foundation in LLM concepts.
• Hands-on experience with:
• Python (pandas, numpy, scikit-learn, xgboost, lightgbm)
• SQL for data extraction and transformation
• Preferred Skillset:
• Regulatory frameworks 
• Cloud platforms (AWS, GCP, Azure – preferred)
• Strong expertise in Credit Risk & Banking domain, including: Credit lifecycle , Risk metrics (PD, LGD, EAD, Expected Loss, Risk Appetite) and Portfolio analytics