• Provides advice and subject matter expertise for the development of the monitoring strategy required for the project. • Works with cross-functional leads to understand complex indications and risks and seeks input on risk mitigations. • Drafts initial risk assessment, supports the project team in ensuring cross-functional involvement in the finalization of the RACT. • Ensures PL transfers risks identified to the correct tracking system and supports ongoing cross-functional review of risks throughout the project. • Provides advice on the development of functional plans to ensure identified risks are mitigated.

• Review assigned account queues to assess the legitimacy of accounts and account holders, evaluate associated risks, and ensure appropriate account restriction or dismissal decisions are made for each case reviewed (60%). • Contact account holders to verify account activity, investigate potential concerns, and mitigate potential losses (10%). • Continuously monitor cases and reports to identify emerging trends, patterns, and risks, and communicate relevant findings to management (10%). • Monitor account activity to detect unusual or suspicious behavior and take timely action to prevent fraudulent or unauthorized transactions (20%).

Title: Space Operations Risk Assessment Specialist Location: United States Job Description: Salary/Position Classification - 20 hourly, Non-Exempt (Eligible for overtime) - 20 hours per week - 100% Remote Work Availability: Yes - Hybrid Work Availability (requires some time on campus): Yes Purpose of Position The UND Computational Research Center is seeking a risk assessment specialist with expertise in statistical risk assessment, failure probability analysis, and Bayesian statistical methods capable of translating this expertise into spacecraft failure prediction and uncertainty quantification. This position will work with a larger research team to develop AI models for predicting spacecraft failure. Duties & Responsibilities - Work under the direction of the UND CRC Advanced Cyberinfrastructure Manager, and other designated researchers, to execute the following responsibilities: - Conduct a literature review on Bayesian network applications in spacecraft reliability, failure analysis, and risk assessment - Collect and curate failure data from relevant sources (e.g., spacecraft anomaly databases, mission reports, component reliability handbooks) - Identify key failure modes, subsystems, and causal relationships to be represented in the Bayesian network - Develop the network structure, including defining nodes, states, and dependencies in consultation with domain experts - Elicit and estimate conditional probability tables from data, expert judgment, or hybrid approaches - Implement and validate Bayesian network models using appropriate software (e.g., GeNIe, Netica, pgmpy, bnlearn) - Perform inference, sensitivity analysis, and scenario testing to evaluate failure probabilities and identify critical contributors - Document modeling assumptions, data sources, and limitations clearly and reproducibly - Present results through regular progress meetings, written reports, and visualizations - Contribute to manuscripts, conference papers, or technical reports as appropriate - Collaborate with team members and incorporate feedback into iterative model refinement Required Competencies - Demonstrated understanding of statistical risk assessment and failure probability analysis. - Strong problem-solving skills and attention to detail - Excellent written and verbal communication skills Minimum Requirements - Bachelors of Science degree in Actuarial Science, Mathematics, or a related field. - Experience programming using R, Python, and/or MATLAB - Experience developing Monte Carlo simulations - Export Control Compliance: This position requires compliance with U.S. government export control laws and regulations. Applicants are required to be eligible for employment under U.S. export control laws and must meet the requirement of being a "U.S. Person" (U.S. citizen, lawful permanent resident, or protected individual as defined by 8 U.S.C.1324b (a)(3)). UND will not sponsor applicants for employment authorization for this position. Information collected in this regard will only be used to ensure compliance with U.S. export control laws and will be used in compliance with all laws prohibiting discrimination on the basis of national origin and other factors. - Successful completion of a Criminal History Background Check In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the US and to complete the required employment eligibility verification form upon hire. This position does not support visa sponsorship for continued employment. Preferred Qualifications - Masters of Science degree in Actuarial Science, Mathematics, or a related field. - Experience with Bayesian statistical methods - Experience modeling rare, catastrophic failure events - Experience developing AI models for assessing risk and failure prediction. - Experience assessing risk and failure prediction for systems in remote, extreme physically inaccessible locations, such as a deep-sea environment or low-earth orbit. - Experience using the GitHub collaborative software development platform. To Apply Please include resume/CV, cover letter, and other applicable documents to support you meet the minimum requirements and competencies.

About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,200 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero-to-one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. The Role: As an Associate, Credit Risk Operations, you will be conducting credit risk reviews of Airwallex's clients within a team environment. The team works collaboratively with merchants, business development teams, transaction risk analysts, compliance and legal departments to support growth objectives while mitigating and managing risk Responsibilities: - Assess merchant's credibility in both onboarding and monitoring workflows, by verifying and analyzing merchant's business information and financial statements. - Provide tailored credit risk recommendations that mitigate Airwallex's exposure while facilitating partner company growth - Prioritize and process the review of incoming applications to verify their accuracy and integrity, interpret them so that they are concise, exact, integral, in compliance with the policy, and register them accurately and in a timely manner - Deliver insights to support key business decisions ranging from onboarding strategies to pricing analysis and product launches - Lead process improvements to help the team deliver on key performance indicators and meet service level agreements - Provide feedback on data, tools, 3rd party vendors etc. for continuous ops efficiency improvement, along with on-going enhancements of policies and procedures. Qualifications: - 5 years of relevant experience with knowledge of commercial credit underwriting, financial statement analysis, and cash flow forecasting - Knowledge of merchant acquiring services and the payment processing industry - Effective communication skills; attention to detail - Be a team player, with strong interpersonal and communication skills, both written and verbal - Be highly curious and thoughtful - a proactive self-starter with a sense of urgency and bias for action, under a fast-paced environment - Be comfortable with complex data and analytics to draw meaningful insights. An understanding of SQL is preferred for this role. Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. 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.