Senior Data Scientist

momentumfinancialservicesgroup; Toronto; Hybrid; CAD 120,000 - 155,000; Full time

Benefits offered by this job

Discretionary bonus

Comprehensive benefits

Retirement plans

Hybrid work environment

Tuition assistance

Perkopolis discounts and rewards

Job summary

Momentum Financial Services Group is seeking a Senior Data Scientist to consult with the business, identify opportunities, and implement advanced analytics and data science solutions that drive measurable value. You will work with product, marketing, and technology teams, reporting to the Senior Director of Data Science.

You will develop predictive and prescriptive models, lead CLV initiatives, and ensure data integrity while aligning with regulatory and audit requirements.

Qualifications

• Experience developing, validating, implementing, monitoring, and refining predictive models.
• Demonstrated ability to translate business questions into data-driven solutions.
• Strong background in finance-related analytics and ML techniques.

Responsibilities

• Design, develop, validate, and implement predictive models addressing business needs.
• Lead CLV modeling efforts and collaborate with Product, Marketing, Finance teams.
• Provide data-driven insights through ad hoc analytics and complex data exploration.
• Monitor model performance and retrain as needed to maintain accuracy.
• Collaborate across departments to deliver data-driven strategies for risk and performance.

Skills

Predictive modeling

Model validation

Model deployment

Statistical analysis

Econometrics

Education

Master's degree with 5+ years

PhD with 2+ years

Job description

Who We Are

At Momentum Financial Services Group, we help people move forward by reimagining how money works for those who need it most. With more than 40 years of experience, we're the team behind Money Mart-Canada's largest non-bank branch network-and a leader in financial solutions for underserved communities.From short-term loans to money transfers and prepaid cards, we power the products, technology, and operations that connect over a million customers a year to the money they need, when they need it.At MFSG, we come together across teams and departments to create something bigger than ourselves: solutions that remove barriers and give people access to money they might not get anywhere else. Whether you're solving problems, building systems, or shaping strategy, your work fuels real support for real people.

We've Got You Covered

• Discretionary Annual Bonus: Enjoy the opportunity for a discretionary bonus based on individual performance and company success.
• Comprehensive Benefits: Our benefits include health and dental plans with 100% of the premiums covered. We also offer an Employee Assistance Program to support your mental well-being and provide resources for personal challenges.
• Retirement Plans: Plan for your future with our robust retirement savings options, ensuring you're set for the long haul.
• Hybrid Work Environment: Experience the best of both worlds with our hybrid work model, allowing you to balance remote work with in-office. When you're at our corporate head office, enjoy a relaxed and collaborative environment featuring breakout rooms for brainstorming and unwinding, plus a variety of snacks to keep you energized throughout the day.
• Perks and Rewards: Enjoy reimbursement for tuition assistance and professional development, discounts through Perkopolis and participate in our rewards and recognition programs to celebrate your contributions.

The Job: Senior Data Scientist

This individual will be the key person for consulting with the business to identify opportunities and implement advanced analytics and data science solutions that support business needs and new initiatives. Reporting directly to the Senior Director of Data Science, the Senior Data Scientist will be the subject matter expert for predictive analytics and machine learning, working closely with various business, product, marketing and technology teams to develop and implement models that drive measurable business value. In addition to developing data science solutions, the individual will have opportunities to work closely with business leaders in identifying new use cases, presenting

What You’ll Do

• 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, to enhance model performance, scalability, and efficiency.
• Lead the development, implementation, and ongoing enhancement of Customer Lifetime Value (CLV) models to support customer strategy and business decision-making. 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 as customer behavior and business priorities evolve.
• Partner with business stakeholders across various functions 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 that support business decisions and strategies.
• Analyze large and complex financial datasets to extract meaningful patterns and features that improve model accuracy and business insights.
• 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, collaborating with partners across cheque cashing, marketing, cross-country operations, and card services to deliver data-driven solutions that improve risk management, business performance, and customer outcomes.

What You’ll Bring to the Table

Required

• 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