Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
Tailor your resume to this Senior Data Scientist role.
Rezi rewrites your resume against Momentum Financial Services Group's job description. Free.
Tailor your resume to this Senior Data Scientist role.
Rezi rewrites your resume against Momentum Financial Services Group's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Data Scientist posting at Momentum Financial Services Group — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Senior Data Scientist posting at Momentum Financial Services Group — free, in seconds.
About the Role
The Senior Data Scientist will be the key person for consulting with the business to identify opportunities and implement advanced analytics and data science solutions. This role supports business needs and new initiatives, acting as the subject matter expert for predictive analytics and machine learning. The individual will work closely with various teams to develop and implement models that drive measurable business value and identify new use cases.
Responsibilities
- Design, develop, validate, and implement predictive and prescriptive models that address emerging business needs and new initiatives.
- Continuously improve the overall modeling process, including feature selection and engineering, model development, validation, monitoring, and documentation.
- Lead the development, implementation, and ongoing enhancement of Customer Lifetime Value (CLV) models.
- Partner with Product, Marketing, Finance, and other business teams to translate business needs into modeling solutions.
- Establish performance tracking, monitor model effectiveness, and continuously refine methodologies.
- Partner with business stakeholders to understand business questions and provide data-driven insights through ad hoc analytics.
- Analyze complex datasets, identify meaningful patterns and opportunities, and translate analytical findings into actionable recommendations.
- Analyze large and complex financial datasets to extract meaningful patterns and features.
- Ensure that models comply with industry regulations, internal policies, and audit requirements.
- Monitor model performance over time and implement retraining or improvements as necessary.
- Lead and support strategic data science initiatives such as portfolio optimization and customer behavior analysis.
- Collaborate with partners across cheque cashing, marketing, cross-country operations, and card services to deliver data-driven solutions.
Requirements
- Master’s degree with 5+ years, or PhD with 2+ years, of hands-on experience in data science, econometrics, statistics, financial economics, or a related quantitative field.
- Experience developing, validating, implementing, monitoring, and refining predictive models and analytical solutions, preferably within financial services.
- Strong knowledge of statistical and machine learning techniques, feature engineering, model performance monitoring, and working with large financial or customer datasets.
- Advanced proficiency in Python and SQL for data analysis, statistical modeling, and machine learning.
- Strong knowledge of predictive modeling, regression, classification, forecasting, segmentation, and model evaluation techniques.
- Experience with feature engineering, feature selection, model validation, performance monitoring, and model refinement.
- Experience working with large-scale customer, transactional, and financial datasets.
- Strong data visualization and analytical communication skills.
- Experience with Customer Lifetime Value (CLV), customer behavior, profitability, forecasting, or similar customer-level modeling.
- Experience with IFRS 9, credit risk, expected loss, or other financial models involving segmentation, forward-looking forecasts, and ongoing model monitoring is an asset.
- Experience with CLV methodologies, survival analysis, customer behavior modeling, or profitability/forecasting models.
- Knowledge of IFRS 9, credit risk modeling, or other financial modeling frameworks.
- Experience with cloud-based analytics and ML platforms (e.g., SnowFlake, Azure, Databricks).
- Familiarity with MLOps, model deployment, automated monitoring, and improving end-to-end modeling processes.
Skills
- Data Science
- Econometrics
- Statistics
- Financial Economics
- Predictive Analytics
- Machine Learning
- Python
- SQL
- Predictive Modeling
- Regression
- Classification
- Forecasting
- Segmentation
- Model Evaluation
- Feature Engineering
- Feature Selection
- Model Validation
- Performance Monitoring
- Model Refinement
- Data Visualization
- Analytical Communication
- Customer Lifetime Value (CLV)
- Customer Behavior Modeling
- Profitability Modeling
- IFRS 9
- Credit Risk Modeling
- Financial Modeling
- Cloud-based Analytics
- ML Platforms
- MLOps
- Model Deployment
- Automated Monitoring
Location
- Hybrid
Work Type
- Hybrid
Experience Level
- Senior
- 5+ years
- 2+ years
Education Level
- Master’s degree
- PhD
- Bachelor’s degree in a quantitative STEM field
Salary/Compensations
- C$ 110,000 to C$ 125,000
Benefits
- Discretionary Annual Bonus
- Health and dental plans with 100% of the premiums covered
- Employee Assistance Program
- Retirement savings options
- Reimbursement for tuition assistance
- Reimbursement for professional development
- Discounts through Perkopolis
- Rewards and recognition programs
About the Company
- Momentum Financial Services Group helps people move forward by reimagining how money works for those who need it most.
- With more than 40 years of experience, MFSG is the team behind Money Mart—Canada’s largest non-bank branch network—and a leader in financial solutions for underserved communities.
- MFSG powers the products, technology, and operations that connect over a million customers a year to the money they need, when they need it.
- At MFSG, teams come together to create solutions that remove barriers and give people access to money they might not get anywhere else.
- MFSG is committed to building innovative solutions grounded in ethical, transparent, and responsible use of data and technology.
- MFSG takes a proactive approach to ensuring that any AI or data-driven systems are safe, fair, and accountable, aligned with Canada’s Artificial Intelligence and Data Act (AIDA).
- MFSG prioritizes strong data governance, clear communication around how systems work, and safeguards that reduce risks and protect individuals.
- MFSG focuses on developing tools and processes that promote equity, reliability, and trust, supported by ongoing monitoring and continuous improvement.
- Joining MFSG means contributing to a future-focused organization that values both innovation and integrity.
Equal Opportunity
- MFSG is committed to accommodating applicants up to the point of undue hardship during the recruitment, assessment and selection process.
- If you are selected for an interview, please notify MFSG if you require accommodation in respect of the materials or procedures used at any time during this process.
- If you require accommodation, MFSG will work with you to determine how to meet your needs.