Senior Portfolio Analyst

Lightspeed; Toronto; Hybrid; CAD 80,000 - 110,000; Full time

Job summary

A leading tech company is seeking a Senior Portfolio Analyst in Toronto, Ontario. This role involves analyzing credit data and collaborating with teams to enhance business strategies. The ideal candidate will have experience in risk modeling and machine learning, and will communicate insights effectively. The company offers a flexible work environment and various benefits, including equity options and career growth opportunities.

Benefits

Flexible paid time off

Remote work policies

Equity options

Health and wellness credit

Qualifications

• Proven experience as an Analyst, preferably in financial services.
• Experience in risk modeling software and machine learning libraries.
• Solid understanding of machine learning algorithms and statistical techniques.
• Familiarity with cloud platforms, specifically GCP.

Responsibilities

• Analyze complex credit and lending data for insights.
• Develop strategies to mitigate losses.
• Collaborate with teams to enhance capital lending products.
• Design and implement machine learning algorithms.

Skills

Data analysis

Statistical modeling

Machine learning

Problem-solving

Effective communication

Education

Master’s or Ph.D. in a quantitative field

Tools

SAS

R

Python

SQL

Tableau

Job description

Overview

Hi there! Thanks for stopping by

We’re looking for a Senior Portfolio Analyst to join our Financial Services team. You will play a crucial role in leveraging data-driven insights to enhance business strategies, drive innovation, and optimize decision-making.

What you’ll be doing :

The primary responsibilities for this position include analyzing complex credit and lending data, developing strategies to mitigate losses, and providing actionable insights to support growth, risk management, and regulatory compliance. You will collaborate with cross-functional teams to deliver solutions that strengthen our capital lending product and meaningfully contribute to the organization’s long-term success.

Responsibilities

• Data Analysis and Modeling
• Conduct extensive data analysis using statistical and machine learning techniques to identify patterns, trends, and relationships within datasets.
• Develop predictive and prescriptive models to forecast market trends, fraud, delinquency, customer behavior, and other critical business metrics.
• Utilize various data sources and data preprocessing techniques to ensure data quality and integrity.
• Business Strategy and Insights
• Collaborate with business leaders to understand their challenges and goals, providing data-driven insights and recommendations that drive strategic decision-making.
• Identify opportunities to leverage data to improve product offerings, customer experience, and operational efficiency.
• Deliver machine learning models for use cases that have high impact on real world business applications and fundamentally change business processes.
• Machine Learning and AI Solutions
• Design, develop, implement and maintain cutting-edge machine learning algorithms and AI solutions to optimize business processes, risk assessment, fraud detection, and portfolio management.
• Explore and experiment with state-of-the-art machine learning techniques to improve accuracy and efficiency in financial analysis.
• Performance Monitoring and Communication
• Create clear and concise data visualizations and reports to communicate complex findings to both technical and non-technical stakeholders.
• Translate analytical results into actionable business insights and present findings to senior management in a compelling and easily understandable manner.

Qualifications

• We’re a team of 5 people located in North America. This group is in hyper-growth mode, seeking an experienced professional who can bring this business to the next level, assisting with yield optimization, financial risk strategies, and market expansion.
• Proven experience as an Analyst, preferably in the financial services sector, with a track record of successful project delivery and business impact.
• Experience in risk modeling software and tools (e.g., SAS, R, Python, Matlab) and machine learning using libraries such as NumPy, Pandas and scikit-learn.
• Solid understanding and practical experience with machine learning algorithms, statistical modeling, and data mining techniques (bonus points for experience with ML engineering and / or operations in a production setting).
• Familiarity with cloud platforms (we use GCP) for scalable data processing and analysis, as well as, for machine learning model development and deployment.
• Strong knowledge of databases and SQL for data retrieval and manipulation.
• Experience with data visualization tools like Looker, Tableau or Power BI to create insightful reports and dashboards.
• Excellent problem-solving skills, analytical thinking, and the ability to thrive in a fast-paced, results-oriented environment.
• Effective communication and presentation skills, with the ability to communicate complex technical concepts to non-technical audiences.
• A Master’s or Ph.D. degree in a quantitative field such as Data Science, Statistics, Computer Science, or Mathematics is nice to have.

Benefits

• We know that people are more than what’s on their CV. If you’re unsure that you have the right profile for the role... hit the ‘Apply’ button and give it a try!
• Be a changemaker
• A flexible work environment that empowers you to do your best work
• A culture that celebrates performance
• The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard
• Career-defining opportunities
• Plus benefits designed to keep you happy, healthy and fulfilled.
• Flexible paid time off and remote work policies
• Equity options, because this is your company too
• Contributions to your pension plan. Your future matters
• Training opportunities to grow your skills and career
• Health and wellness credit so you feel your best
• Time off to volunteer and give back to your community
• Interest groups, employee led networks, social committees to sponsored sports teams
• Computer purchase program to get your personal Macbook
• Enhanced parental leave to support growing families
• Etc…

Fuel your growth. Find your people.

At Lightspeed, your growth is our priority. We invest in you with continuous learning opportunities, global mobility and benefits designed to support you—all within a driven, diverse and inclusive team that’s passionate about empowering our communities