Advanced Quantitative Modeling Specialist

2 days ago

Bengaluru, Karnataka, India beBeeDataScience Full time ₹ 12,00,000 - ₹ 24,00,000
Quantitative Modeling Expert

This role is centered around keeping the organization strong and resilient. You will be at the forefront of identifying, measuring, and mitigating Model Risk. This involves conducting independent model validation and governance activities to ensure that models are fit for purpose, used appropriately within the business context, and that model users are aware of the model limitations and how they could impact business decisions.

The successful candidate will head the Data Science Group in Bangalore, managing a team of junior reviewers. The group will perform the following model risk management activities for Data Science models:

  • Set standards for robust model development practices and enhance them as needed to meet evolving industry standards
  • Evaluate adherence to development standards including soundness of model design, reasonableness of assumptions, reliability of inputs, completeness of testing, correctness of implementation, and suitability of performance metrics
  • Identify weaknesses, limitations, and emerging risks through independent testing, building of benchmark models, and ongoing monitoring activities
  • Communicate risk assessments and findings to stakeholders, and document in high quality technical reports
  • Assist the organization in maintaining (i) appropriateness of ongoing model usage, and (ii) the level of aggregate model risk within risk appetite
Key Responsibilities:
  1. To develop, implement, and maintain advanced mathematical and statistical models to analyze complex data sets and predict future trends
  2. To lead a team of quantitative analysts in developing and implementing new models and techniques
  3. To collaborate with cross-functional teams to integrate model outputs into business decisions
  4. To identify opportunities for process improvements and implement changes to optimize model development and deployment
  5. To communicate complex technical information to non-technical stakeholders and provide recommendations on strategic initiatives
Requirements:
  • A Ph.D. or master's degree in a Data Science oriented field such as Data Science, Computer Science, or Statistics is required
  • 7+ years of experience in a quantitative modeling role, such as Data Science, Quantitative Model Development, Model Validation, or Technology focused on Data Science, including hands-on experience with building/testing Machine Learning models
  • Domain expertise in areas such as Data Science, Machine Learning, and Artificial Intelligence. Knowledge and experience in database interfacing and analysis of large data sets is a plus
  • Strong understanding of Machine Learning/Data Science theory, techniques, and tools including Transformers, Large Language Models, NLP, GANs, Deep Learning, OCR, XGBoost, and Reinforcement Learning
  • Proven managerial experience or demonstrated leadership abilities, with a track record of successfully leading and managing quantitative teams
  • Proficiency in Python programming, with experience in the Python machine learning library and ecosystem, including NumPy, SciPy, Scikit-learn, Pandas, TensorFlow, Keras, and PyTorch
  • Understanding of the machine learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop
  • Strong communication skills verbally and particularly in writing, with the ability to interface with other functional areas in the firm on model-related issues and write high-quality technical reports
  • Risk and control mindset ability to ask incisive questions, assess materiality of model issues, and escalate issues appropriately

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