Data Scientist Ii

1 month ago

Toronto, Canada TD Bank Full time

**TD Description**

Stay current and competitive. Carve out a career for yourself. Grow with us.

**Department Overview**

What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

As part of our Data and Analytics team, you'll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

TD's vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you've been in business as long as we have, you know there's no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

**About this Role**

As Data Scientist you will contribute towards advanced analytics and ML evolution at TD. You will be responsible for developing and managing statistical and ML models used for fraud detection. You will be embedded within TD's Analytics Center of Excellence, while directly supporting Enterprise Protect - an enterprise-level body that strives to protect TD Bank Group customers, shareholders and employees from financial crimes and fraud.

**Key Accountabilities**
- Develop, and maintain statistical and machine learning models to support fraud detection capabilities of TD bank
- Collaborate with Model Risk Management and other control partners to ensure developed models are effective, stable, and unbiased.
- Explore new data features that can enrich TD's fraud detection to identify potential Model upgrades.
- Develop and support ongoing model monitoring work for the existing model inventory to ensure sustained performance.
- Participate in management committees, employee recognition and volunteer events.

**Job Requirements**

**What can you bring to TD? **Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

- Communication & relationship skills:

- Excellent written and verbal communication.
- Comfortable and effective when interacting with wide range of business partners and stakeholders.
- Ability to develop and maintain strong internal relationships with several stakeholders.
- Ability to translate complex/technical terms and concepts into easy-to-understand business language.

Strategic Thinking & Judgment:

- Creative, out-of-the-box thinker, with strong conceptual and problem-solving skills.
- Motivated to constantly strive to find innovative ways to enhance processes and analytical solutions.
- Capable of quickly uncovering potential drivers for model performance variation to inform life-cycle management decisions.

Technical Competencies:

- Demonstrated experience of developing classical and ML-oriented models like Logistic Regression, Lasso and Ridge regularization, bagging and boosting models, and advanced modeling algorithms including neural networks.
- Well-developed analytical abilities: must be comfortable with data and statistics.
- Experience with SQL, Python, R, Azure Cloud and Azure ML Services is an asset
- Model implementation or fraud experience is an asset.

Education & Experience
- Undergraduate degree in Science, Technology, Engineering, Math, or modeling related discipline such as Economics or Finance.
- Graduate degree is considered an asset.
- 5+ years of relevant experience preferred.

**Additional Information**
- #LI-Hybrid #LI-Post #datascientist

**Inclusiveness**

At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

**Job Family**
- Advanced Analytics & Modelling

**Job Category - Primary**
- Enterprise Data & Analytics

**Job Category(s)**
- Enterprise Data & Analytics

**Hours**
- 37.5

**Business Line**
- Corporate

**Time Type**
- Full Time

**Employment Type**
- Regular

**Country**
- Canada

**Province/State (Primary)**
- Ontario

**City (Primary)**
- Toronto

**Work Location**
- TD Centre - North - 77 King Street West

**Job Expires**
- 03-May-2023

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