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Senior Data Scientist, Algorithm - Financial Markets Careers at Airwallex - San Francisco, California | Apply Now!

Airwallex

Senior Data Scientist, Algorithm - Financial Markets Careers at Airwallex - San Francisco, California | Apply Now!

full-timePosted: Jan 29, 2026

Job Description

Senior Data Scientist, Algorithm - Financial Markets at Airwallex

Role Overview

As a Senior Data Scientist, Algorithm - Financial Markets at Airwallex, you will play a pivotal role in shaping our risk strategy and optimizing our financial market operations. You will be responsible for developing and applying advanced statistical and machine learning models to estimate financial market risk exposures, optimize market forecasting, and improve pricing decisions. Your insights will drive critical business strategies and contribute to the overall success of Airwallex. You will work closely with product managers, traders, risk managers, and engineers to deliver data-driven solutions that enhance our commercial and operational objectives.

A Day in the Life

Your typical day might include:

  • Developing and implementing statistical models to assess financial market risk.
  • Conducting data analysis to identify trends and patterns in market data.
  • Collaborating with engineers to build and maintain data pipelines.
  • Presenting analytical results and insights to cross-functional teams.
  • Working with product managers to define and prioritize data-driven initiatives.
  • Monitoring model performance and making necessary adjustments.
  • Staying up-to-date with the latest developments in data science and financial markets.
  • Participating in code reviews and contributing to the improvement of data science practices.
  • Optimizing market forecasting models for improved accuracy.
  • Improving order routing strategies based on data analysis.
  • Enhancing fund efficiency through data-driven insights.

Why San Francisco?

San Francisco is a global hub for technology and innovation, making it an ideal location for Airwallex. The city offers a vibrant ecosystem of startups, established tech companies, and top-tier talent. San Francisco provides access to a diverse range of resources and opportunities, fostering a culture of creativity and collaboration. Being based in San Francisco allows you to connect with industry leaders, attend cutting-edge conferences, and stay at the forefront of technological advancements. Additionally, San Francisco's rich cultural scene and access to outdoor activities make it an attractive place to live and work.

Career Path

At Airwallex, we are committed to providing opportunities for career growth and development. As a Senior Data Scientist, you can advance your career in several directions:

  • Principal Data Scientist: Lead complex data science projects and mentor junior data scientists.
  • Data Science Manager: Manage a team of data scientists and oversee the development of data-driven solutions.
  • Director of Data Science: Lead the data science organization and drive the overall data strategy.
  • Technical Lead: Focus on the technical aspects of data science, such as model development and algorithm design.
  • Product Manager: Transition into product management and leverage your data science expertise to define and build data-driven products.

Salary & Benefits

Airwallex offers a competitive salary and benefits package, including:

  • Competitive salary commensurate with experience and qualifications.
  • Comprehensive health, dental, and vision insurance.
  • Generous paid time off policy.
  • Paid parental leave.
  • Professional development opportunities.
  • Employee assistance program.
  • Wellness programs.
  • Commuter benefits.
  • Free snacks and drinks in the office.
  • Team-building events and activities.
  • Global mobility opportunities.
  • Opportunities to work on challenging and impactful projects.
  • Collaborative and supportive work environment.
  • Opportunity to learn from experienced professionals in the fintech industry.
  • Chance to make a real difference in the lives of businesses around the world.
  • Flexible work arrangements.
  • 401k with company match.
  • Life insurance.
  • Disability insurance.
  • Employee referral bonus program.
  • Access to online learning platforms.
  • Company-sponsored social events.

Airwallex Culture

Airwallex is a fast-paced and innovative company that values collaboration, ownership, and continuous learning. We are committed to building a diverse and inclusive work environment where everyone feels valued and respected. Our operating principles guide our decision-making and shape our culture:

  • Customer Obsession: We put our customers first and strive to exceed their expectations.
  • Bias for Action: We move quickly and decisively, taking calculated risks to drive innovation.
  • Ownership: We take ownership of our work and are accountable for our results.
  • Collaboration: We work together as a team to achieve our goals.
  • Continuous Learning: We are always learning and growing, both personally and professionally.
  • Integrity: We act with integrity and honesty in all that we do.

How to Apply

To apply for the Senior Data Scientist, Algorithm - Financial Markets position, please submit your resume and cover letter through our online application portal. Be sure to highlight your relevant experience and qualifications, and explain why you are interested in joining Airwallex.

FAQ

  1. What is Airwallex?

    Airwallex is a global payments and financial platform for modern businesses. We help businesses grow without borders by providing them with the tools they need to manage their finances globally.

  2. What is the interview process like?

    The interview process typically involves a phone screening, a technical interview, and a final interview with the hiring manager. The process may vary depending on the role and the candidate's experience.

  3. What are the working hours like?

    We offer flexible working hours and encourage employees to manage their time effectively. We value work-life balance and strive to create a supportive work environment.

  4. What opportunities are there for professional development?

    We offer a variety of professional development opportunities, including training programs, conferences, and mentorship opportunities. We are committed to helping our employees grow and develop their skills.

  5. What is the company culture like?

    Our culture is collaborative, innovative, and results-oriented. We value teamwork, ownership, and continuous learning. We are committed to creating a diverse and inclusive work environment where everyone feels valued and respected.

  6. What benefits do you offer?

    We offer a comprehensive benefits package, including health, dental, and vision insurance, paid time off, paid parental leave, and a 401k with company match.

  7. What is the dress code?

    We have a casual dress code. We encourage employees to dress comfortably and appropriately for their work environment.

  8. What is the office environment like?

    Our offices are modern and collaborative spaces designed to foster creativity and innovation. We provide employees with the tools and resources they need to be successful.

  9. What are the opportunities for growth?

    We offer a variety of opportunities for career growth and development. We are committed to helping our employees advance their careers and reach their full potential.

  10. How does Airwallex use data science?

    Data science is central to Airwallex's operations, informing everything from risk management and fraud detection to customer segmentation and product development. Data scientists build models and algorithms to analyze vast datasets, extract insights, and drive data-informed decisions across the company.

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangemedium confidence

187,000 - 275,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Machine Learningintermediate
  • Statistical Modelingintermediate
  • Financial Marketsintermediate
  • Foreign Exchange (FX)intermediate
  • Risk Managementintermediate
  • Data Analysisintermediate
  • Data-Driven Decision Makingintermediate
  • Model Developmentintermediate
  • Algorithm Designintermediate
  • Pythonintermediate
  • Rintermediate
  • SQLintermediate
  • Data Visualizationintermediate
  • Communication Skillsintermediate
  • Cross-functional Collaborationintermediate
  • Problem-Solvingintermediate
  • Statistical Analysisintermediate
  • Forecastingintermediate
  • Trading Systemsintermediate
  • Regression Analysisintermediate
  • Time Series Analysisintermediate
  • Experimentationintermediate
  • A/B Testingintermediate
  • Data Miningintermediate

Required Qualifications

  • 5+ years industry experience in data science or related field (experience)
  • Advanced degree (PhD or MS) in a quantitative field (Statistics, Engineering, Sciences, Computer Science, Economics) (experience)
  • Strong understanding of financial markets (experience)
  • Experience with foreign exchange (FX) markets (experience)
  • Knowledge of dynamic trading systems (experience)
  • Proficiency in statistical modeling techniques (experience)
  • Experience with machine learning algorithms (experience)
  • Excellent communication and presentation skills (experience)
  • Ability to work collaboratively in cross-functional teams (experience)
  • Experience in risk management within financial markets (experience)
  • Strong analytical and problem-solving skills (experience)
  • Familiarity with data visualization tools (experience)
  • Proficient in programming languages such as Python or R (experience)
  • Experience with SQL for data querying and manipulation (experience)
  • Understanding of statistical analysis and hypothesis testing (experience)
  • Ability to translate complex data into actionable insights (experience)
  • Experience presenting analytical results to executives (experience)
  • Knowledge of financial risk exposures (FX, credit, capital) (experience)
  • Experience in optimizing market forecasting (experience)
  • Familiarity with order routing strategies (experience)
  • Experience with fund efficiency optimization (experience)
  • Understanding of pricing decisions in financial markets (experience)
  • Ability to contribute to commercial and operational objectives (experience)
  • Experience with experimental design and A/B testing (experience)
  • Strong data mining skills (experience)
  • Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) (experience)
  • Experience with big data technologies (e.g., Spark, Hadoop) (experience)

Responsibilities

  • Effectively manage Airwallex’s risk portfolio within financial markets.
  • Deliver actionable insights to shape overall risk strategy.
  • Apply statistical and/or machine learning models to estimate financial markets risk exposures (FX, credit, capital, etc.).
  • Optimize market forecasting using advanced analytical techniques.
  • Improve order routing strategies based on data-driven insights.
  • Enhance fund efficiency through data analysis and modeling.
  • Optimize pricing decisions using machine learning algorithms.
  • Partner with Product Managers, Traders, Risk, Engineering, and other stakeholders.
  • Deliver data-driven recommendations to support commercial objectives.
  • Provide data-driven recommendations to support operational objectives.
  • Present analytical results and insights to cross-functional teams.
  • Influence business strategies through data-driven recommendations.
  • Influence decision-making through clear and concise data presentations.
  • Collaborate with data engineers to build and maintain data pipelines.
  • Develop and maintain statistical models for risk assessment.
  • Implement machine learning algorithms for forecasting.
  • Monitor model performance and make necessary adjustments.
  • Conduct data analysis to identify trends and patterns in financial markets.
  • Communicate findings to stakeholders in a clear and understandable manner.
  • Stay up-to-date with the latest developments in data science and financial markets.
  • Contribute to the development of new data products and services.
  • Participate in code reviews and contribute to the improvement of data science practices.
  • Ensure data quality and integrity.
  • Comply with all relevant regulations and policies.

Benefits

  • general: Competitive salary and equity package
  • general: Comprehensive health, dental, and vision insurance
  • general: Generous paid time off policy
  • general: Paid parental leave
  • general: Professional development opportunities
  • general: Employee assistance program
  • general: Wellness programs
  • general: Commuter benefits
  • general: Free snacks and drinks in the office
  • general: Team-building events and activities
  • general: Global mobility opportunities
  • general: Opportunities to work on challenging and impactful projects
  • general: Collaborative and supportive work environment
  • general: Opportunity to learn from experienced professionals in the fintech industry
  • general: Chance to make a real difference in the lives of businesses around the world
  • general: Flexible work arrangements
  • general: 401k with company match
  • general: Life insurance
  • general: Disability insurance
  • general: Employee referral bonus program
  • general: Access to online learning platforms
  • general: Company-sponsored social events

Target Your Resume for "Senior Data Scientist, Algorithm - Financial Markets Careers at Airwallex - San Francisco, California | Apply Now!" , Airwallex

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Tags & Categories

Data ScienceFinancial MarketsAlgorithmSan FranciscoFull-timeData ScientistAirwallexCaliforniaFintechRisk ManagementMachine LearningStatistical ModelingForeign ExchangeTrading SystemsData AnalysisQuantitative AnalysisFinancial ModelingRisk AssessmentMarket ForecastingOrder RoutingFund EfficiencyPricing OptimizationData-Driven InsightsCareerJobHiringFinTechPaymentsEngineeringProduct

Answer 10 quick questions to check your fit for Senior Data Scientist, Algorithm - Financial Markets Careers at Airwallex - San Francisco, California | Apply Now! @ Airwallex.

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~2 Minutes
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Airwallex logo

Senior Data Scientist, Algorithm - Financial Markets Careers at Airwallex - San Francisco, California | Apply Now!

Airwallex

Senior Data Scientist, Algorithm - Financial Markets Careers at Airwallex - San Francisco, California | Apply Now!

full-timePosted: Jan 29, 2026

Job Description

Senior Data Scientist, Algorithm - Financial Markets at Airwallex

Role Overview

As a Senior Data Scientist, Algorithm - Financial Markets at Airwallex, you will play a pivotal role in shaping our risk strategy and optimizing our financial market operations. You will be responsible for developing and applying advanced statistical and machine learning models to estimate financial market risk exposures, optimize market forecasting, and improve pricing decisions. Your insights will drive critical business strategies and contribute to the overall success of Airwallex. You will work closely with product managers, traders, risk managers, and engineers to deliver data-driven solutions that enhance our commercial and operational objectives.

A Day in the Life

Your typical day might include:

  • Developing and implementing statistical models to assess financial market risk.
  • Conducting data analysis to identify trends and patterns in market data.
  • Collaborating with engineers to build and maintain data pipelines.
  • Presenting analytical results and insights to cross-functional teams.
  • Working with product managers to define and prioritize data-driven initiatives.
  • Monitoring model performance and making necessary adjustments.
  • Staying up-to-date with the latest developments in data science and financial markets.
  • Participating in code reviews and contributing to the improvement of data science practices.
  • Optimizing market forecasting models for improved accuracy.
  • Improving order routing strategies based on data analysis.
  • Enhancing fund efficiency through data-driven insights.

Why San Francisco?

San Francisco is a global hub for technology and innovation, making it an ideal location for Airwallex. The city offers a vibrant ecosystem of startups, established tech companies, and top-tier talent. San Francisco provides access to a diverse range of resources and opportunities, fostering a culture of creativity and collaboration. Being based in San Francisco allows you to connect with industry leaders, attend cutting-edge conferences, and stay at the forefront of technological advancements. Additionally, San Francisco's rich cultural scene and access to outdoor activities make it an attractive place to live and work.

Career Path

At Airwallex, we are committed to providing opportunities for career growth and development. As a Senior Data Scientist, you can advance your career in several directions:

  • Principal Data Scientist: Lead complex data science projects and mentor junior data scientists.
  • Data Science Manager: Manage a team of data scientists and oversee the development of data-driven solutions.
  • Director of Data Science: Lead the data science organization and drive the overall data strategy.
  • Technical Lead: Focus on the technical aspects of data science, such as model development and algorithm design.
  • Product Manager: Transition into product management and leverage your data science expertise to define and build data-driven products.

Salary & Benefits

Airwallex offers a competitive salary and benefits package, including:

  • Competitive salary commensurate with experience and qualifications.
  • Comprehensive health, dental, and vision insurance.
  • Generous paid time off policy.
  • Paid parental leave.
  • Professional development opportunities.
  • Employee assistance program.
  • Wellness programs.
  • Commuter benefits.
  • Free snacks and drinks in the office.
  • Team-building events and activities.
  • Global mobility opportunities.
  • Opportunities to work on challenging and impactful projects.
  • Collaborative and supportive work environment.
  • Opportunity to learn from experienced professionals in the fintech industry.
  • Chance to make a real difference in the lives of businesses around the world.
  • Flexible work arrangements.
  • 401k with company match.
  • Life insurance.
  • Disability insurance.
  • Employee referral bonus program.
  • Access to online learning platforms.
  • Company-sponsored social events.

Airwallex Culture

Airwallex is a fast-paced and innovative company that values collaboration, ownership, and continuous learning. We are committed to building a diverse and inclusive work environment where everyone feels valued and respected. Our operating principles guide our decision-making and shape our culture:

  • Customer Obsession: We put our customers first and strive to exceed their expectations.
  • Bias for Action: We move quickly and decisively, taking calculated risks to drive innovation.
  • Ownership: We take ownership of our work and are accountable for our results.
  • Collaboration: We work together as a team to achieve our goals.
  • Continuous Learning: We are always learning and growing, both personally and professionally.
  • Integrity: We act with integrity and honesty in all that we do.

How to Apply

To apply for the Senior Data Scientist, Algorithm - Financial Markets position, please submit your resume and cover letter through our online application portal. Be sure to highlight your relevant experience and qualifications, and explain why you are interested in joining Airwallex.

FAQ

  1. What is Airwallex?

    Airwallex is a global payments and financial platform for modern businesses. We help businesses grow without borders by providing them with the tools they need to manage their finances globally.

  2. What is the interview process like?

    The interview process typically involves a phone screening, a technical interview, and a final interview with the hiring manager. The process may vary depending on the role and the candidate's experience.

  3. What are the working hours like?

    We offer flexible working hours and encourage employees to manage their time effectively. We value work-life balance and strive to create a supportive work environment.

  4. What opportunities are there for professional development?

    We offer a variety of professional development opportunities, including training programs, conferences, and mentorship opportunities. We are committed to helping our employees grow and develop their skills.

  5. What is the company culture like?

    Our culture is collaborative, innovative, and results-oriented. We value teamwork, ownership, and continuous learning. We are committed to creating a diverse and inclusive work environment where everyone feels valued and respected.

  6. What benefits do you offer?

    We offer a comprehensive benefits package, including health, dental, and vision insurance, paid time off, paid parental leave, and a 401k with company match.

  7. What is the dress code?

    We have a casual dress code. We encourage employees to dress comfortably and appropriately for their work environment.

  8. What is the office environment like?

    Our offices are modern and collaborative spaces designed to foster creativity and innovation. We provide employees with the tools and resources they need to be successful.

  9. What are the opportunities for growth?

    We offer a variety of opportunities for career growth and development. We are committed to helping our employees advance their careers and reach their full potential.

  10. How does Airwallex use data science?

    Data science is central to Airwallex's operations, informing everything from risk management and fraud detection to customer segmentation and product development. Data scientists build models and algorithms to analyze vast datasets, extract insights, and drive data-informed decisions across the company.

Locations

  • San Francisco, California, United States

Salary

Estimated Salary Rangemedium confidence

187,000 - 275,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Machine Learningintermediate
  • Statistical Modelingintermediate
  • Financial Marketsintermediate
  • Foreign Exchange (FX)intermediate
  • Risk Managementintermediate
  • Data Analysisintermediate
  • Data-Driven Decision Makingintermediate
  • Model Developmentintermediate
  • Algorithm Designintermediate
  • Pythonintermediate
  • Rintermediate
  • SQLintermediate
  • Data Visualizationintermediate
  • Communication Skillsintermediate
  • Cross-functional Collaborationintermediate
  • Problem-Solvingintermediate
  • Statistical Analysisintermediate
  • Forecastingintermediate
  • Trading Systemsintermediate
  • Regression Analysisintermediate
  • Time Series Analysisintermediate
  • Experimentationintermediate
  • A/B Testingintermediate
  • Data Miningintermediate

Required Qualifications

  • 5+ years industry experience in data science or related field (experience)
  • Advanced degree (PhD or MS) in a quantitative field (Statistics, Engineering, Sciences, Computer Science, Economics) (experience)
  • Strong understanding of financial markets (experience)
  • Experience with foreign exchange (FX) markets (experience)
  • Knowledge of dynamic trading systems (experience)
  • Proficiency in statistical modeling techniques (experience)
  • Experience with machine learning algorithms (experience)
  • Excellent communication and presentation skills (experience)
  • Ability to work collaboratively in cross-functional teams (experience)
  • Experience in risk management within financial markets (experience)
  • Strong analytical and problem-solving skills (experience)
  • Familiarity with data visualization tools (experience)
  • Proficient in programming languages such as Python or R (experience)
  • Experience with SQL for data querying and manipulation (experience)
  • Understanding of statistical analysis and hypothesis testing (experience)
  • Ability to translate complex data into actionable insights (experience)
  • Experience presenting analytical results to executives (experience)
  • Knowledge of financial risk exposures (FX, credit, capital) (experience)
  • Experience in optimizing market forecasting (experience)
  • Familiarity with order routing strategies (experience)
  • Experience with fund efficiency optimization (experience)
  • Understanding of pricing decisions in financial markets (experience)
  • Ability to contribute to commercial and operational objectives (experience)
  • Experience with experimental design and A/B testing (experience)
  • Strong data mining skills (experience)
  • Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) (experience)
  • Experience with big data technologies (e.g., Spark, Hadoop) (experience)

Responsibilities

  • Effectively manage Airwallex’s risk portfolio within financial markets.
  • Deliver actionable insights to shape overall risk strategy.
  • Apply statistical and/or machine learning models to estimate financial markets risk exposures (FX, credit, capital, etc.).
  • Optimize market forecasting using advanced analytical techniques.
  • Improve order routing strategies based on data-driven insights.
  • Enhance fund efficiency through data analysis and modeling.
  • Optimize pricing decisions using machine learning algorithms.
  • Partner with Product Managers, Traders, Risk, Engineering, and other stakeholders.
  • Deliver data-driven recommendations to support commercial objectives.
  • Provide data-driven recommendations to support operational objectives.
  • Present analytical results and insights to cross-functional teams.
  • Influence business strategies through data-driven recommendations.
  • Influence decision-making through clear and concise data presentations.
  • Collaborate with data engineers to build and maintain data pipelines.
  • Develop and maintain statistical models for risk assessment.
  • Implement machine learning algorithms for forecasting.
  • Monitor model performance and make necessary adjustments.
  • Conduct data analysis to identify trends and patterns in financial markets.
  • Communicate findings to stakeholders in a clear and understandable manner.
  • Stay up-to-date with the latest developments in data science and financial markets.
  • Contribute to the development of new data products and services.
  • Participate in code reviews and contribute to the improvement of data science practices.
  • Ensure data quality and integrity.
  • Comply with all relevant regulations and policies.

Benefits

  • general: Competitive salary and equity package
  • general: Comprehensive health, dental, and vision insurance
  • general: Generous paid time off policy
  • general: Paid parental leave
  • general: Professional development opportunities
  • general: Employee assistance program
  • general: Wellness programs
  • general: Commuter benefits
  • general: Free snacks and drinks in the office
  • general: Team-building events and activities
  • general: Global mobility opportunities
  • general: Opportunities to work on challenging and impactful projects
  • general: Collaborative and supportive work environment
  • general: Opportunity to learn from experienced professionals in the fintech industry
  • general: Chance to make a real difference in the lives of businesses around the world
  • general: Flexible work arrangements
  • general: 401k with company match
  • general: Life insurance
  • general: Disability insurance
  • general: Employee referral bonus program
  • general: Access to online learning platforms
  • general: Company-sponsored social events

Target Your Resume for "Senior Data Scientist, Algorithm - Financial Markets Careers at Airwallex - San Francisco, California | Apply Now!" , Airwallex

Get personalized recommendations to optimize your resume specifically for Senior Data Scientist, Algorithm - Financial Markets Careers at Airwallex - San Francisco, California | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Data Scientist, Algorithm - Financial Markets Careers at Airwallex - San Francisco, California | Apply Now!" , Airwallex

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Data ScienceFinancial MarketsAlgorithmSan FranciscoFull-timeData ScientistAirwallexCaliforniaFintechRisk ManagementMachine LearningStatistical ModelingForeign ExchangeTrading SystemsData AnalysisQuantitative AnalysisFinancial ModelingRisk AssessmentMarket ForecastingOrder RoutingFund EfficiencyPricing OptimizationData-Driven InsightsCareerJobHiringFinTechPaymentsEngineeringProduct

Answer 10 quick questions to check your fit for Senior Data Scientist, Algorithm - Financial Markets Careers at Airwallex - San Francisco, California | Apply Now! @ Airwallex.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.