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Momentum Financial Services Group

Senior Data Scientist

Toronto, Canada; TORONTO HQ 150955Canada
Senior · Risk and Analytics
POSTED 5 OCT
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Role
35 days opentrue age
Posted 5 Oct
Pay
CAD 128k–CAD 155kno pay posted
Market p25–p75
CAD 128k–CAD 155k
Toronto · n=6 · 365d to 6 Nov
CompanyMomentum Financial Services Group →
25open roles
Opened · 30d
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Closed · 30d
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Market
1,766open · Senior Analytics / Data science
Opened · 7d
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All analytics / data science
7,703open
All tracked boards · live 10 Nov · n=1,766

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

Compensation Philosophy: Our strategy is simple—we aim to match the market. We regularly review industry standards to ensure our total rewards package is competitive and fair. This commitment helps us attract and retain talented individuals who share our purpose.

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

Reporting directly to the Senior Director of Data Science, the Senior Data Scientist will be a strategic partner to the business, combining strong business acumen with expertise in advanced analytics and machine learning to drive measurable results. This role places a strong emphasis on understanding business priorities, identifying opportunities, and translating complex business challenges into practical data science solutions.

Working closely with business, product, marketing, finance, and technology teams, this individual will identify and prioritize use cases based on their potential business impact, develop and implement predictive models, and translate analytical findings into clear, actionable recommendations. Success in this role requires the ability to connect model outcomes to financial and operational performance, communicate effectively with business leaders, and influence decisions that support growth, profitability, and customer value.

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.
Source · Momentum Financial Services GroupFirst seen 7 NovOriginal ↗