Manager, Analytics

4 months ago

Toronto, Canada TD Bank Full time

**Manager, Analytics & Insights**:

- 416356BR

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

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

**Employment Type**
- Regular

**City**
- Toronto

**Time Type**
- Full Time

**Province/State**
- Ontario

**Hours**
- 37.5

**Workplace Model**
- Hybrid

**Hours/Availability Detail**
- Monday to Friday, 9am to 5pm

**Pay Details**

**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

**Job Details**

While you are a natural leader, you don't mind getting your hands dirty. And in your role, you will simultaneously work to create data related solutions to drive business results, while working with senior leadership to communicate timelines and progress and identify business opportunities.

You are not only a functional expert, you also possess broad managerial experience and specialized knowledge of regulatory and industry frameworks, using that knowledge to inform development cycles and develop industry leading analytic solutions.

Most of all, your work ethic and thought leadership inspires your team to innovate with purpose, execute with speed, collaborate to deliver world-class data solutions and ultimately become leaders themselves.

We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work in the Valuations CoE, contributing to Personalization Analytics use cases.

**As a Manager, Analytics and Insight, these are the essential responsibilities of this role**:

- Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work you're doing
- Work closely with business owners to find opportunities and serve as an ambassador for data science
- Design and deliver enterprise analytic solutions for customers
- Develop powerful business insights from segmentation, risk, and performance data
- Build complex statistical valuations models with knowledge of Banking products profitability and cost drivers
- Deliver presentation of insights for executive leaders/business partners to drive strategic improvement
- Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
- Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
- Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels

**Job Requirements**

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

- Graduate level qualification in a relevant technical field (Computer Science, Engineering, Applied Mathematics/Statistics, Operations Research) ideally with a specialization in data mining/machine learning
- Up to 6 years' experience of working in analytical environments
- Experience in financial modelling and experience in Product Strategy, Risk, Finance or Marketing functions
- Expertise in analytical tools such as SAS
- High proficiency in Python, PySpark, Java, R, and its essential libraries.
- Experience with Git
- Experience with relational databases and usage of SQL
- Proficiency in Big data (Hadoop, HIVE, PIG, Spark etc.) and unstructured data
- Demonstrated track record of manipulation of large volume, high frequency data for analytical purposes on a Big Data platform
- Demonstrated experience of developing and implementing statistical models (predictive & descriptive)
- Demonstrated experience in delivering high quality, high impact analytical solutions to business problems

**Additional Information**
- #LI-Hybrid #BusinessInsights #Machine Learning

**Company Overview**

**Our Values**
At TD we're guided by our purpose is to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded

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