Overview
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
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 and Experience
What you need to bring
- 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
- 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
- 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
About Lightspeed
Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs.
Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
Where to from here? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here.
Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs.
Who we are:
Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks.
Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries.
Notes: This description is intended to present an overview of the role and may be updated as needed.