Embedded within a cross-functional team, you will have the autonomy to gather and analyze data, build complex business cases with innovative recommendations, and collaborate with various business partners to execute delivery.
Working in an agile, cross-functional team you’ll also have the opportunity to learn from other job families like data scientists, process managers, and product owners. From a technical perspective, you will have access to various coding and visualization tools. You’ll work with SQL to query data, use spreadsheets and Python-based notebooks to organize it, and slides to present it, along with other modern analytics tools, such as Tableau and Quicksight.
Here are a few examples of the many ways you will be helping people take control of their credit:
(Note that this is not an exhaustive list of the possible team placements within the department):
Product Strategy
Develop strategies to test and scale new financial product offerings. Conduct market & customer research, and couple these insights with internal data modeling to propose new solutions for our customers. Work with process and technology experts to get new products in the hands of our customers, and iterate upon our offerings based on consumer reception.
Credit Strategy
Relevant to underwriting (credit policy & valuations). Develop and maintain valuation models and the associated credit policies that help us determine who we extended credit to. Perform analysis on credit performance to help influence how we update and optimize our models & policies.
Marketing Strategy
Develop A/B test plans to improve marketing efficiency across multiple channels (i.e. Search Engine Marketing, Display, etc.), with credit risk top of mind. Understand and quantify the impact of marketing through analysis and test design, such as geo-split tests.
Fraud Strategy
Develop defenses and policies to mitigate fraud losses for our client, creating a safe and secure experience for our customers. Perform diligent monitoring to understand emerging fraud trends and implement actions to prevent fraudulent behaviour.
Mobile Strategy:
Develop initiatives to help drive mobile adoption and usage. Work closely with other team members on crafting test plans and launching initiatives by leveraging a plethora of mobile data to guide discovery of user personas and recommend features.
You’ll also join the Canada Analyst Development Program (CADP), which takes place over your first year with us. You will have access to foundational training, case studies, social and networking events, and exposure to senior leaders, peers and subject matter experts from across the company.
Responsibilities:
- Bring strategies to life from conception and analytical business case building, to in-market delivery.
- Based on the team you’ll be deployed to, this responsibility can manifest itself through:
- Performing modeling/analytics to assist new product and pricing strategies for various lending products
- Developing direct-to-consumer marketing strategies and initiatives to support business growth objectives
- Helping build targeted insights to inform the design and development of new customer experiences, as well as breakthrough technology and concepts designed to deliver on new go-to-market strategies
- Supporting step-change improvements in credit performance by connecting drivers of future consumer credit trends to historical behaviour, build and refit models, and testing hypotheses using rigorous monitoring and analysis
- Drive business outcomes by leveraging analytical expertise, and storytelling through data
- Autonomously own complex problems within space by establishing subject-matter expertise
- Influence the strategic roadmap of the team by leveraging past experience and unique perspective
- Provide support/coaching to associates on an ad-hoc basis
Basic Qualifications:
- 2-5 years of experience, with an established history of leveraging analytical skills to effectively influence strategic decisions
- A bachelor’s degree or higher
- Experience in basic coding (e.g. beginner-level SQL queries), or data visualization (e.g. Tableau, QuickSight)
Preferred Qualifications:
- (Don’t have them all? Don’t worry. We’ll help you develop the right skills for the job):
- A degree in Commerce, Finance, Marketing, Economics, Business Administration, Engineering, Mathematics, Computer Science, Statistics or a related field
- Experience in coding (e.g. Complete SQL scripts, Python notebooks) and data visualization (e.g. Tableau, QuickSight). If you know how to build models or write code, that’s awesome. If not, don’t worry as long as you have an interest in and aptitude for learning it
- Extensive experience working in a team environment, with a strong ability to collaborate effectively with others
The pay range that the employer reasonably expects to pay for this position is between CA$120.00 and CA$100,000
Our voluntary benefits offering includes medical, dental, vision and retirement benefits.
Applications will be accepted on an ongoing basis.
Tundra Technical Solutions would like to thank you for the interest you have demonstrated in this opportunity. However, only candidates with the required skills will be contacted.
Tundra Technical Solutions is an Equal Opportunity/Affirmative Action Employer. We welcome and encourage diversity in our workplace.
Not interested in this position, but know somebody who might be? Check out our Referral Reward Program, referrals are a big secret behind our success. As always, we’re on the lookout for great people. And we know that you know great people!
Tundra Technical Solutions is among North America’s leading providers of Information Technology and Engineering staffing and consulting services. Our success and our clients’ success are built on a foundation of service excellence. Rather than continually trying to sell to new clients and companies and simply filling databases with candidates, we focus on developing stronger relationships and deeper knowledge of our existing clients’ challenges and opportunities.
Open ears. Open minds. Open futures