Provide financial analysis reports and materials for individual industries and sectors-specific companies, develop models, and collaborate with global colleagues.
Compensation
Expected base pay rates for the role will be between $200,000 and $200,000 per year at the commencement of employment.
Responsibilities
Provide financial analysis reports and materials for individual industries and sectors-specific companies
Analyze industry data to develop an industry-specific vision
Update and create financial models
Analyze emerging trends in an industry or macro-economy
Assess relative stock valuations and review findings with team as well as internal and external clients
Requirements
Master’s in Computational Finance, Financial Engineering, or a related field of study
This role supports the GR&A Data Science team throughout the modelling lifecycle, working on well-defined tasks under the supervision of senior colleagues.
Responsibilities
Support data preparation and analysis.
Contribute to documentation and process mapping.
Support the ideation, development and evaluation of statistical and machine learning models.
Contribute to forecasting and decision-optimization activities.
Present results to technical and non-technical stakeholders.
Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk.
Responsibilities
Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk
Provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics
Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data
Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders
Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome
Requirements
Bachelor’s degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
Nice to have: Master’s degree or PhD in a quantitative field
Nice to have: banking or fin-tech industry experience
Internship focused on developing quantitative trading models and research infrastructure in a trading environment.
Responsibilities
Create practical solutions to trading problems
Conduct statistical analysis of market data
Formulate and apply mathematical modeling and machine learning techniques
Build and refine research infrastructure and tools
Requirements
Bachelor’s, Master’s or PhD in a technical discipline with a focus on Statistics, Optimisation, Machine Learning, Artificial Intelligence, Quantitative Finance or related fields
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). You will use data science and analytics to drive fast, rational decisions and build fraud controls and measurement frameworks.
Compensation
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.
Responsibilities
Own fraud analytics for the Remitly Global Card and Store of Value products, and develop long-term insights, KPIs, and prescriptive recommendations.
Become an expert on Remitly's risk management systems, card and wallet product flows, and the fraud patterns unique to these products.
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.
Partner with issuing processors and internal teams to design and tune real-time authorization, transaction monitoring, and account-level controls.
Requirements
Bachelor's degree in mathematics, engineering, economics, or another quantitative field (or equivalent additional experience)
Lead technical development of structured finance credit models and provide hands‑on leadership to the Quant team.
Compensation
EUR 128,500.00-186,833.00
Responsibilities
Take hands‑on ownership of the design, implementation and enhancement of structured finance credit models.
Lead complex model and methodology development projects through to release, coordinating technical workstreams, dependencies, timelines and stakeholders across quantitative, ratings, review and Technology teams.
Develop, maintain and enhance proprietary Python and C++ modelling libraries.
Engage with rating analysts to understand analytical challenges and emerging market trends, and translate business needs into appropriate modelling approaches.
Lead the preparation of quantitative research papers and technical documentation supporting model development and methodology enhancements.
Requirements
Master’s degree in Mathematics, Engineering, Physics, Economics, Finance, Statistics, or a related quantitative discipline
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