Data Scientist I

1 week ago

Toronto, Canada TD Bank Full time

**Work Location**:
Toronto, Ontario, Canada

**Hours**:
37.5

**Line of Business**:
Data & Analytics

**Pay Details**:
**_* _**_Job Title _**

**_Data Scientist I, Machine Learning Model Validation _**

**Model Risk Management and Model Validation**

**TD Bank**

**Toronto, ON and Montreal, QC**

**_* _**_Department Overview _**

**TD Model Validation (MV) group is responsible for the independent validation and approval of analytical models used for risk, pricing, hedging, insurance, marketing and capital evaluation for portfolio of financial products. This also includes validation of decision-making models. Machine Learning and AI model validation team is responsible for the validation of the ML-based models used across the Bank for various use cases.**

**_* _**_Job Description _**

**The position reports to Senior Manager, Machine Learning and AI Model Validation group within MV. Detailed accountabilities include**:

- **Develop/implement Machine Learning model validation methodologies and standards. Ensure that the validation methodologies and standards are in line with industry best practice or address regulatory and audit requirements and/or findings in a timely manner.**:

- **Implement and evaluate external models used for benchmarking internal model performance. Participate in model selection and related due diligence activity.**:

- **Communicate findings and recommendations to both technical and non-technical stakeholders.**:

- **Actively participate with business partners in internal data management to ensure data integrity and the completeness of data capture for model validation and development purpose.**:

- **Maintain full professional knowledge of techniques and developments in the field of Machine Learning and AI and share knowledge with business partners and senior management.**

**The position involves working effectively with different internal partners such as TD Wealth, TD Insurance, ED&A, PBSA, Layer6, etc.**

**_* _**_Job Requirements _**
- **Strong quantitative skills with an advanced degree in one or more of the following areas: computer science, mathematics, physics, statistics, machine learning, economics, finance, engineering, and/or actuarial science.**:

- **Proven experience as a Data Scientist or similar role.**:

- **Experience with and strong knowledge of Machine Learning theory and predictive algorithms**:Bagging and Gradient Boosting methods, Neural Networks/Deep Learning, NLP, Generalized Additive Models, Graphical Models, Bayesian/probabilistic methods, etc.**:

- **Experience and knowledge of Machine Learning Model Interpretation/Explanation.**:

- **Proficient in one or more programming languages such as Python, PySpark, Java, Scala, and/or R.**:

- **Object Oriented programming skills.**:

- **Familiarity with cloud platforms (e.g., Azure, AWS) and big data technologies (e.g., Hadoop, Spark).**:

- **Knowledge of neural network tools such as Tensorflow/Keras, PyTorch and/or MXNet.**:

- **Excellent verbal and written communication skills (position requires writing reports).**:

- **Quick learner who constantly works on improving their skills and expertise.**:

- **Good time management and multitasking skills with mínimal supervision.**:

- **Ability to work independently and collaboratively in a fast-paced, dynamic environment.**:

- **Stay up to date with the latest advancements in data science, machine learning, AI, and cloud technologies.**

**_* _**_Preferred Qualifications _**
- **Experience with distributed computing and parallel processing using Spark.**:

- **Knowledge of SQL and database systems.**:

- **Familiarity with natural language processing (NLP) and deep learning and generative AI techniques and advancements **.**:

- **Ability to research and implement Machine Learning algorithms from academic research papers is a plus.**

**_*Titre du poste _**

**_Scientifique des données I, Validation des modèles d’apprentissage automatique _**

**Gestion des risques liés aux modèles et Validation des modèles**

**Groupe Banque TD**

**Toronto (ON) et Montréal (QC)**

**_*Aperçu du service _**

**Le groupe Validation des modèles TD est responsable de la validation et de l’approbation indépendantes des modèles analytiques relatifs au risque, à la tarification, aux couvertures, à l’assurance, au marketing et à l’évaluation du capital des portefeuilles pour les produits financiers. Cela comprend également la validation des modèles de prise de décisions. L’équipe Validation des modèles, Apprentissage automatique et intelligence artificielle est responsable de la validation des modèles basés sur l’apprentissage machine et l’intelligence artificielle et utilisés à l’échelle de la Banque à plusieurs fins.**

**_*Description du poste _**

**Le titulaire du poste relèvera du directeur principal, Validation des modèles, Apprentissage automatique et intelligence artificielle au sein de l’équipe Validation des modèles. Voic

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