Austin, Texas, United States · On-site
Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spe…
Skills: Machine Learning, Python, SQL, Fraud Detection, AML
London, England, United Kingdom · Hybrid
$75k–$115k/yr
Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spe…
Skills: SQL, Looker, Tableau, Data Analysis, Stakeholder Management
São Paulo, São Paulo, Brazil · Hybrid
$18k–$24k/yr
Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spe…
Skills: Pipeline Development, Deal Acceleration, Strategic Prospecting, Stakeholder Management, Cold Outreach
London, England, United Kingdom · Hybrid
$111k–$145k/yr
Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spe…
Skills: Java, Spring Boot, Kafka, Distributed Systems, Web Applications
London, England, United Kingdom · Hybrid
$111k–$145k/yr
Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spe…
Skills: Java, Spring Boot, Kafka, Distributed Systems, Web Applications
London, England, United Kingdom · Hybrid
$88k–$111k/yr
Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spe…
Skills: Web Applications, Distributed Systems, Java, Spring Boot, Kafka
Hyderabad, Andhra Pradesh, India · On-site
$1323k–$2174k/yr
Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spe…
Skills: Incident Management, Problem Management, Technical Documentation, Stakeholder Communication, Basic Troubleshooting
London, England, United Kingdom · Hybrid
$88k–$111k/yr
Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spe…
Skills: Java, Spring Framework, React, Javascript, Typescript
Hyderabad, Andhra Pradesh, India · On-site
$725k–$780k/yr
Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spe…
Skills: Training Facilitation, Onboarding, Learning and Development, Curriculum Maintenance, Stakeholder Collaboration
Tallinn, Harju, Estonia · On-site
$2k–$3k/mo
Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spe…
Skills: Enhanced Due Diligence, AML Compliance, KYC Operations, Risk Assessment, Financial Crime Analysis
Tallinn, Harju, Estonia · On-site
$2k–$3k/mo
Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spe…
Skills: Enhanced Due Diligence, AML/CFT Regulations, KYC Operations, Risk Assessment, Financial Crime Compliance
Brussels, Brussels-Capital, Belgium · Hybrid
$5k–$8k/mo
Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spe…
Skills: Internal Audit, Financial Crime Risk Management, KYC/KYB, Customer Due Diligence, Enhanced Due Diligence
London, England, United Kingdom · On-site
$120k–$160k/yr
Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spe…
Skills: Product Leadership, Conversion Rate Optimization, User Experience (UX), Stakeholder Management, Data Analysis
London, England, United Kingdom · On-site
$75k–$115k/yr
Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spe…
Skills: Data Analysis, Capacity Planning, Forecasting, Data Pipeline Management, Predictive Modeling
London, England, United Kingdom · Hybrid
$75k–$115k/yr
Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spe…
Skills: SQL, Python, R, Snowflake, Looker
Tallinn, Harju, Estonia · On-site
$4k–$5k/mo
Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spe…
Skills: SQL, Dbt, Data Pipelines, Data Modelling, Quantitative Analysis
Singapore, Singapore · On-site
$101k–$131k/yr
Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spe…
Skills: SQL, Dbt, Data Pipelines, Quantitative Analysis, Data Visualization
Tallinn, Harju, Estonia · On-site
$4k–$6k/mo
Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spe…
Skills: Financial Crime Operations, People Management, KYC/AML, Regulatory Compliance, Strategic Planning
Hyderabad, Andhra Pradesh, India · On-site
Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spe…
Skills: Full Stack Engineering, System Design, KYC Integration, Payment Ecosystems, Scalable Systems
Chūō, Japan · On-site
$6000k–$8200k/yr
Company Description Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spe…
Skills: Workplace Management, Facilities Management, Budget Management, Financial Literacy, Data Literacy
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Design and deploy machine learning models to detect financial crime and improve the KYC/KYB onboarding process. Analyze large datasets to identify risk patterns and implement A/B tests to balance compliance with customer experience.
Proven experience as a Data Scientist in FinTech or regulated environments with strong proficiency in Python, SQL, and ML frameworks. Ability to collaborate cross-functionally and communicate complex technical concepts to non-technical stakeholders.
Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.
More about our mission and what we offer.
As a Data Scientist on the North America Onboarding team, you will leverage your expertise in data science to innovate and deploy models that ensure regulatory compliance and provide a seamless onboarding experience. Your work will directly influence our ability to mitigate risk while reducing friction for customers opening accounts globally. You will collaborate closely with cross-functional teams, including engineering, product, and risk management.
Design, develop, and deploy machine learning models to enhance our detection of financial crime, compliance violations, and risk associated with customer onboarding (KYC) and business verification (KYB).
Take over existing models to prevent chargebacks in North America. Ideate and work on new opportunities with ML to help reduce losses on chargebacks to reduce customer fees.
Analyze large volumes of customer and business data to identify trends, patterns, and anomalies related to identity verification and regulatory risk typologies.
Design and implement experiments (A/B tests) to evaluate the effectiveness of new risk controls and product features, continuously improving performance and balancing compliance with customer experience.
Develop robust data pipelines, algorithms, and tooling using Python and SQL to support real-time data ingestion and model scoring for the KYC/KYB process.
Collaborate with analysts, compliance teams, and engineers to translate complex business and regulatory requirements into actionable data insights and automated solutions.
Stay informed about the latest advancements in data science, machine learning, and regulatory compliance techniques to ensure state-of-the-art capabilities in the risk domain.
Proven experience in a Data Scientist role, ideally with exposure to fraud detection, anti-money laundering (AML), or KYC/KYB domains within a FinTech or regulated business environment.
Strong proficiency in machine learning frameworks and Python programming language and are able to make and justify design decisions in your code. You know how to use Git to collaborate with others and are able to review code.
Expertise in data querying languages such as SQL, with experience working with large datasets and data processing technologies (e.g., Spark, Snowflake).
Familiarity with anomaly detection, supervised and unsupervised learning methods, and real-time risk scoring and data analysis.
Demonstrated ability to work collaboratively in cross-functional teams and effectively communicate complex technical concepts to non-technical stakeholders.
A strong product mindset with the ability to work independently in a cross-functional and cross-team environment.
Experience with statistical analysis and good presentation skills to drive insight into action.
Strong problem-solving skills with the ability to help refine problem statements and figure out how to solve them.
Familiarity with automating operational processes via technical solutions, for example Large Language Models (LLMs)
For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
160+ countries. 40+ currencies. Money for here, there and everywhere.
Wise is a global technology company, building the best way to move money around the world. With the Wise account people and businesses can hold 40+ currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new cross-border payments network that will one day power money without borders for everyone, everywhere. However you use the platform, Wise is on a mission to make your life easier and save you money. Co-founded by Kristo Käärmann and Taavet Hinrikus, Wise launched in 2011 under its original name TransferWise. It is one of the world’s fastest growing, profitable technology companies and is listed on the London Stock Exchange under the ticker, WISE. 16 million people and businesses use Wise globally, which processes £9 billion in cross-border transactions every month, saving customers around £1.5 billion a year. For customer queries: Please note that LinkedIn is not a Wise Customer Support channel. If you would like to hear from our Customer Support team, please see our Facebook, Twitter and Instagram pages. Login to access customer support: https://wise.com/login/ FB: https://www.facebook.com/Wise/ IG:https://www.instagram.com/wiseaccount/ TW:https://twitter.com/home
Offices: The Tea Building, 56 Shoreditch High Street, London, E1 6JJ, GB · W 26th Street, New York City, US · Váci út 80, Budapest, Budapest 1133, HU · Paya Lebar Link, Geylang, Central Region, SG · Veerenni 24, Tallinn, Harjumaa 10135, EE
160+ countries. 40+ currencies. Money for here, there and everywhere.
Wise is a global technology company, building the best way to move money around the world. With the Wise account people and businesses can hold 40+ currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new cross-border payments network that will one day power money without borders for everyone, everywhere. However you use the platform, Wise is on a mission to make your life easier and save you money. Co-founded by Kristo Käärmann and Taavet Hinrikus, Wise launched in 2011 under its original name TransferWise. It is one of the world’s fastest growing, profitable technology companies and is listed on the London Stock Exchange under the ticker, WISE. 16 million people and businesses use Wise globally, which processes £9 billion in cross-border transactions every month, saving customers around £1.5 billion a year. For customer queries: Please note that LinkedIn is not a Wise Customer Support channel. If you would like to hear from our Customer Support team, please see our Facebook, Twitter and Instagram pages. Login to access customer support: https://wise.com/login/ FB: https://www.facebook.com/Wise/ IG:https://www.instagram.com/wiseaccount/ TW:https://twitter.com/home
Offices: The Tea Building, 56 Shoreditch High Street, London, E1 6JJ, GB · W 26th Street, New York City, US · Váci út 80, Budapest, Budapest 1133, HU · Paya Lebar Link, Geylang, Central Region, SG · Veerenni 24, Tallinn, Harjumaa 10135, EE
