Staff Data Scientist, Algorithm, Financial Markets

Airwallex; San Francisco (CA); On-site; USD 200,000 - 250,000; Full time

Benefits offered by this job

Equity options

Bonus opportunities

20 paid days of vacation

Medical, dental, and vision insurance

Job summary

Airwallex is seeking a quantitative professional in San Francisco to effectively manage risk portfolios and apply statistical models in financial markets. Candidates should have over 5 years of industry experience, a PhD or MS in a quantitative field, and strong communication skills. In this role, you’ll partner with product managers and traders to drive data-informed recommendations. The position offers a full-time contract with competitive compensation and benefits including medical insurance and equity options.

Qualifications

• 5+ years industry experience in a quantitative field.
• Strong understanding of financial markets and dynamic trading systems.
• Ability to present analytical results to influence strategy.

Responsibilities

• Manage Airwallex’s risk portfolio with actionable insights.
• Apply statistical models to estimate risk exposures.
• Collaborate with teams to deliver data-driven recommendations.

Skills

Statistical analysis

Machine learning models

Data querying languages (SQL)

Scripting languages (Python)

Financial markets knowledge

Education

PhD or MS in a quantitative field

Tools

R

Job description

Location

US - San Francisco

Employment Type

Full time

Department

Engineering, Data Science

Compensation

• $200K – $250K • Offers Equity • Offers Bonus

Airwallex promotes fair compensation practices in accordance with applicable federal, state, and local law.

These expected base pay ranges are based on information at the time this post was generated and represent the company’s good faith minimum and maximum ranges for this role at the time of posting.

The actual compensation offered to a candidate will be dependent upon multiple factors, including but not limited to relevant experience, skills and other qualifications, geographic location as noted, internal equity, and other external market factors.

Certain roles may be eligible for other compensation including, but not limited to, annual bonuses, commissions, RSUs, or other forms of compensation in addition to the established salary range.

Benefits may vary depending on the nature of employment and work location. US-based employees are eligible to participate in medical, dental, and vision insurance, a 401(k) plan, short-term and long-term disability, basic life insurance, and well-being benefits. US-based employees also receive 20 paid days of vacation and 12 paid days of company holidays in a calendar year.

Further details about our compensation and benefits package are available upon request by contacting our Talent Acquisition team.

About the team

The team spans across Australia, China, USA, and Singapore, revolutionizing applied data science, data engineering and platform solutions to support Airwallex's rapid growth. We collaborate with cross-functional partners, including Product, Engineering, Marketing, Sales, Finance, and more, to tackle complex data problems and shape the future of fintech.

The Role

• Effectively manage Airwallex’s risk portfolio, delivering actionable insights to shape our overall risk strategy within financial markets


• Apply statistical and/or machine learning models to estimate financial markets risk exposures (including FX, credit, capital, and other product risks), and optimize market forecasting, order routing, fund efficiency, and pricing decisions


• Partner with Product Managers, Traders, Risk, Engineering, and other stakeholders to deliver data-driven recommendations that support commercial and operational objectives


• Clearly present analytical results and insights to cross-functional teams to influence business strategies and decision-making

Who you are

We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

Minimum qualifications

• 5+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)


• Strong understanding of financial markets, foreign exchange, and/or dynamic trading systems is a plus


• Experience with communicating the results of analyses to executives and cross-functional teams to influence the strategy


• Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R), experience in schema design and dimensional data modeling a plus


• Ability to perform statistical analysis and develop machine learning models to drive data-informed decisions

Preferred qualifications

• Experience in technology, financial services, trading environment and/or a high growth environment is advantageous

Equal opportunity

Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.