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Remitly

Senior Data Analyst, New Products

Burnaby, BC, Canada

The starting base salary range for this position is $120,000 - $150,000. · Full-time

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Job details

Pay: The starting base salary range for this position is $120,000 - $150,000.
Job type: Full-time
Experience: 5+ years of experience in a data analyst role or similar full-time professional experience.
Posting language: English
Posted: Nov 6, 2026

Original job description

Job Description:

At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether it's supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we're not just here to move money - we're here to move our global customers forward.
We're looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If that's you and you're ready to do the most meaningful work of your career - we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders.

About the Role:

The Senior Data Analyst, Fraud (New Products) will be part of Remitly's Identity & Trust Analytics Team, reporting to the Senior Manager, Fraud Program and Analytics. As a senior individual contributor, you will own fraud analytics for Remitly's new financial products, including the Remitly Global Card and Store of Value (wallet balances). These products extend Remitly beyond cross-border transfers into everyday money management, which brings new fraud risks. Examples include card authorizations, account funding and direct deposits, balance movements, withdrawals, and access to credit. You will use data science and analytics to drive fast, rational decisions. You'll build fraud controls and measurement frameworks for products that are still taking shape, so that Remitly can grow them safely while keeping things smooth for legitimate customers. You'll partner closely with program managers, product managers, engineers, operations, and our card issuing and processing partners.

You Will:

Own fraud analytics for the Remitly Global Card and Store of Value products, and develop long-term insights, KPIs, and prescriptive recommendations that shape fraud prevention strategy as these products launch and scale.
Become an expert on Remitly's risk management systems, card and wallet product flows, and the fraud patterns unique to these products. These include account takeover, card-not-present fraud, first-party and credit abuse, funding and load abuse, money mule activity, and disputes and chargebacks.
Build frameworks, grounded in the unit economics of the new products, that show how changes to fraud controls affect losses, approval rates, customer friction, activation, and growth.
Own and evolve the metrics used to evaluate fraud performance across cards and stored value, including fraud loss rates, dispute and chargeback rates, authorization approval rates, and customer friction. Lead the development of durable Key Results with business partners.
Partner with issuing processors and internal teams to design and tune real-time authorization, transaction monitoring, and account-level controls.
Formulate hypotheses, design and evaluate experiments, and apply prediction, classification, and causal methods where they fit, while knowing when a simpler 80/20 approach is better.
Set goals with program and product managers, bring forward the hypotheses and recommendations that inform new product roadmaps, and flag emerging fraud risks before launches and expansions into new markets.
Build a shared understanding of how new product fraud data, customer experiences, and goals fit together with Remitly's broader Transaction Integrity program.
Design and build end-to-end SQL pipelines and analysis-ready tables, represent fraud analytics needs in instrumentation discussions for new products, and lead efforts to close gaps in data coverage.
Use AI tools and agentic workflows to speed up analysis, and propose and lead new techniques that raise the bar for the team.
Give technical leadership to peers through code and analysis reviews, onboarding new hires, interviewing, and building mechanisms that improve the team's technical skills.

You Have:

5+ years of experience in a data analyst role or similar full-time professional experience.
Experience in fraud, risk, trust & safety, fintech, or adversarial analytics strongly preferred.
Experience with card issuing, debit, prepaid, or credit cards, digital wallets, or neobank products is a strong plus.
Familiarity with card network rules, dispute and chargeback processes, or Reg E is a plus.
Bachelor's degree in mathematics, engineering, economics, or another quantitative field (or equivalent additional experience).
Advanced SQL proficiency, including building performant, well-documented pipelines, plus strong Python or R skills for data analysis is a plus.
Expertise with statistical concepts (e.g., A/B testing, causal inference, probability theory, forecasting, classification) and how they apply in real-world fraud or risk contexts.
Experience owning an analytics domain end to end: distilling business problems, developing hypotheses, building analytical frameworks, carrying out analyses, and driving clear recommendations to action.
Strong data storytelling skills, including data visualization, narrative document writing, and adapting complex findings for technical and non-technical audiences.
A track record of working independently in ambiguous, fast-changing problem spaces, prioritizing high-leverage work, and influencing partner roadmaps without direct authority.
Experience mentoring or giving technical guidance to other analysts.
Demonstrated experience using AI tools (e.g., LLM-assisted analysis, agentic workflows, or AI-powered tooling) to improve analytical speed and quality.

Compensation Details. The starting base salary range for this position is $120,000 - $150,000. In Canada, Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.

Our Benefits

Four weeks vacation
Health Benefits
Mental Health & Family Forming Benefits
RRSP plan with company match
Employee Stock Purchase Plan (ESPP)
Life Insurance & Disability
Continuing education

Our Connected Work Culture: Driving Innovation, Together

At Remitly, we believe that true innovation sparks when we come together. Our Connected Work Culture fosters dynamic in-person collaboration, where ideas ignite and challenging problems find solutions faster.

Under the Company's current hybrid-work expectations, employees in this position work onsite Tuesday through Thursday each week. Additional onsite attendance may be required based on business needs, and the Company may modify its hybrid-work expectations from time to time. These intentional in-office moments are vital for deepening relationships, fueling creativity, and ensuring your impact is felt where it matters most.

Remitly is an E-Verify Employer

At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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More about this job

Responsibilities

The Senior Data Analyst will own fraud analytics for new financial products, developing KPIs and prescriptive recommendations to shape fraud prevention strategies. They will partner with cross-functional teams to design real-time authorization controls and build end-to-end SQL pipelines to support product growth.

Requirements

Candidates must have 5+ years of experience in data analysis, preferably within fraud, risk, or fintech sectors. A bachelor's degree in a quantitative field and advanced proficiency in SQL are required, along with strong data storytelling and analytical skills.

Skills

Fraud analytics
SQL
Python
R
Data science
Risk management
A/B testing
Causal inference
Statistical modeling
Data storytelling
Data visualization
Fintech
Transaction monitoring
Identity and trust analytics
Product analytics

Benefits

Four weeks vacation
Health benefits
Mental health benefits
Family forming benefits
RRSP plan with company match
Employee stock purchase plan
Life insurance
Disability insurance
Continuing education

Visa sponsorship

Not detected in the job text

Keywords

Fraud analytics
Fintech
SQL
Python
R
A/B testing
Causal inference
Risk management
Data visualization
Card issuing
Digital wallets
Neobank
Reg E
Chargebacks
Account takeover
Transaction integrity
Data pipelines
AI tools
Agentic workflows
KPIs
Unit economics
Predictive modeling
Classification
Forecasting
Probability theory
Identity and trust
Product roadmaps
Data storytelling
Financial services
Cross-border transfers

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