Quant Modeling Lead

6 days ago

Bengaluru, Karnataka, India beBeeDataScientist Full time
Job Description

We are seeking a highly skilled professional to lead our Data Science team in Bangalore. As Head of Data Science, you will be responsible for managing a team of junior reviewers and overseeing the development of robust model validation practices.

Your primary objective will be to ensure that models are fit for purpose and used appropriately within the business context. You will also identify weaknesses, limitations, and emerging risks through independent testing and ongoing monitoring activities.

To achieve this, you will work closely with stakeholders to communicate risk assessments and findings, and document your results in high-quality technical reports.


Required Skills and Qualifications
  • 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 is essential.
  • 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 on model-related issues and write high-quality technical reports.

Benefits

This is an exciting opportunity to join a dynamic team and take on a challenging role. As Head of Data Science, you will have the chance to expand your knowledge of various forecasting models, their unique limitations, and use that knowledge to help shape business strategy and protect the firm.

You will also have the opportunity to work closely with the best and brightest in the firm, frequently interacting with stakeholders to communicate risk assessments and findings.

In addition, you will have the chance to develop your leadership skills, working closely with a team of junior reviewers and overseeing the development of robust model validation practices.


Role Information

Role: Head - Data Science

Industry Type: Financial Services

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education: UG - Any Graduate PG - Any Postgraduate

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