Manager, Origination Decision Systems & Analytics (12-month Contract)

Scotiabank; Old Toronto; On-site; CAD 80,000 - 110,000; Full time

Job summary

Join a forward-thinking banking institution as a Manager in Origination Decision Systems & Analytics. This pivotal role combines advanced analytics with programming to enhance credit strategies and improve customer offerings. You will collaborate with various teams to drive innovation and digital transformation across the bank. If you have a passion for data-driven decision-making and a background in STEM, this opportunity is perfect for you. Engage in a dynamic environment where your contributions will directly impact the bank's growth and customer success. Embrace the chance to work with cutting-edge tools and techniques while being part of an inclusive culture that values diverse perspectives.

Qualifications

• Post-secondary education in STEM required.
• Strong programming skills in Java, Python, and SQL are essential.

Responsibilities

• Analyze and develop innovative credit solutions using advanced analytics.
• Collaborate with partners to enhance retail portfolio performance.

Skills

Java

Java Script

Blaze

JSON

SAS

SQL

R

Python

Tableau

Power BI

Education

Post-secondary education in a relevant STEM discipline

Tools

Big data tools

Data visualization tools

Job description

Title: Manager, Origination Decision Systems & Analytics (12-month Contract)

Requisition ID: 212558

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Please note this job posting will be active until January 3, 2025, to account for the holiday season. Applications will be reviewed in January 2025. Please expect a delay in the recruitment process.

As the Manager, Origination Decision Systems & Analytics, you will play a pivotal role in accelerating benefits for credit strategies, customers, and the bank. Leveraging enterprise-level data management tools and advanced analytics, you’ll collaborate closely with Global Risk teams, business lines, Digital Banking, and IT. Your responsibilities include programming the credit strategies on Origination Decision Systems, applying advanced analytics techniques, exploring ideas to enhance retail lending portfolios within risk appetite thresholds, and identifying opportunities for innovative credit offers based on risk-reward frameworks and the GRM’s digital strategy. This role demands solid programming skills, rigorous logical thinking, communication, curiosity, and strong teamwork abilities.

You will operate at the intersection of math/stats, computer science, and domain knowledge in Risk Management, Finance, or Marketing. Additionally, you will work towards various strategic initiatives, participate in the risk-reward strategy development, driving innovation and digital transformation across the Bank and Global Risk Management.

Is this role right for you? In this role, you will:

1. Provide system analysis, object-oriented design/programming, technical documentation, and deployment of origination strategies for retail portfolios in Caribbean regions.
2. Collaborate with business partners in assessing the system status quo and provide recommendations on system improvement.
3. Leverage advanced and predictive data analytics techniques (including AI/ML tools) to analyze, research, and develop innovative credit solutions and policies, to support growth and strategy optimization opportunities in Caribbean and Central American markets.
4. Monitor, assess and evaluate various life cycle strategies as well as overall portfolio performance. Through various dimensions of analysis, work closely with business partners across the region to develop actionable tactical recommendations to enhance program effectiveness and profitability of the Retail Portfolio.
5. Work with business line partners to ensure business strategies across life cycle are consistent with the Risk Appetite Framework.
6. Make recommendations to senior management on strategy enhancements, retail portfolio insights, and ad-hoc analysis.
7. Perform in-depth data analysis to detect trends of customer performance and document analytical methodology.

Do you have the skills that will enable you to succeed? We’d love to work with you if you have:

1. Post-secondary education in a relevant STEM discipline (Science, Technology, Engineering, and Mathematics).
2. Knowledge or experience using Java, Java Script, Blaze, or JSON.
3. Ability to work with large volumes of structured and unstructured non-traditional data.
4. Proficiency in big data tools and programming languages such as SAS, SQL, R or Python.
5. Experience with data visualization tools such as Tableau or Power BI.
6. Strong communication skills to translate technical knowledge into business value.

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.