Job Detail

Risk Data Analyst at
Palo Alto, CA, US
About is a leader in financial process automation for small businesses and mid-size companies. Making it simple to connect and do business, the Back Office Cloud digitizes, automates and simplifies legacy payment and financial processes. With an integrated, end-to-end platform, leverages artificial intelligence to reduce manual work, and provides a cloud workspace to help run your business anytime, anywhere. The company partners with many of the largest U.S. financial institutions, more than 70% of the top 100 U.S. accounting firms, and major accounting software providers. manages more than $70B in annual payment volume across ACH, virtual cards, checks, and international payments. The company has offices in Palo Alto, California and Houston, Texas. For more information, or follow @billcom.
We are looking for a talented, enthusiastic and dedicated risk analyst to join’s Risk Management team. The incumbent will be responsible for defining key risk and business metrics as well as creating state of the art risk performance dashboard to empower operation and engineer business partners. This person will also perform analysis associated with predictive fraud detection, risk modeling and loss mitigation. This position requires a person who has experience with performing analytics, refining risk strategies and developing predictive algorithms preferably in risk domain.  

Professional Experience/Background to be successful in this role:

    • Minimum 1 year of industry experience in risk analytics, data analysis or data science
    • An advanced degree (M.S), preferably in Statistics, Physical Sciences, Computer Science, Economics, or a related technical field
    • Experience using data and statistics to solve complex business problems
    • Proficiency in SQL, Python and/or R 
    • Experience to write complex queries and work with large datasets
    • Ability to clearly communicate complex results to technical experts, business partners, and executives
    • Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses and action-oriented outcomes
    • Desirable to have experience and aptitude solving problems related to risk using data science and analytics
    • Bonus: experience with AWS, Google Data Studio, Tableau

Competencies (Attributes needed to be successful in this role):

    • Functional/Data driven
    • Detail Oriented 
    • Learning Abilities
    • Communication
    • Team Player Culture:
●      Humble – No ego
●      Fun –  Celebrate the moments
●      Authentic – We are who we are
●      Passionate – Love what you do  
●      Dedicated – To each other and the customer