- Payments Engineers must have experience in any of the following areas: digital payments processing, digital card development, digital (international and domestic) money transfer, and digital tracking software, digital commerce, mobile POS payments, fraud detection, or forensics
- Provide direct technical and financial support to financial institutions and payment service providers, especially money transfer operators, to test new migrant-centric financial products and remittance use-cases beyond wallet-based payments
- Provide support and worked with financial institutions to assist with the launch of new financial offerings through targeted and focused pilots
- Engage with the various financial stakeholders to work towards a conducive policy and regulatory environment
- Develop new digital financial products based on payments or remittances
- Lead AI/ML and related technologies in support of priorities working to improve detection and reduce payments fraud
- Establish relationships with business units and/or technology offices within financial institutions, trade associations, and advocacy groups to foster dialogue on AI and security related issues
- Implement strategic financial (i.e., billing and payment) operations to support large scale transaction systems
- Develop mission-critical systems that ensure all monetization capabilities with high quality and scalability
Preferred Education
- Bachelor’s or Master’s degree or an equivalent combination of education and/or technical training
Required Skills
- 3+ years of experience in digital banking, digital payments, financial service sector, international remittances, or related experience
- Fluency in the qualitative research and synthesis to ideation, prototyping, and implementation
- Passion for the digital payments space and will be well-read and researched on new global consumer payment trends
- Strong technical aptitude in systems that support the payments ecosystem and fraud detection, prevention, and mitigation as it relates to payments or online banking transactions
- Ability to liaise with stakeholders across different sectors and hierarchies
- Strong interpersonal and communication skills
- Strong analytical, reporting, and writing skills
- Ability to plan, organize, implement and report on work
- Team-oriented and creative, and not afraid to step outside of your comfort zone
Preferred Skills
- Knowledge of advanced analytics techniques, including machine learning, Bayesian statistics, regression, classification, and/or clustering
- Familiarity with subjects such as probability and statistics, cryptography, and distributed systems; especially as they apply to AI/ML
- Some competency with R, Python, Hadoop/Spark, Linux, Shiny/Tableau, Elasticsearch/Kibana.
- Experience in developing statistical models, algorithms, and analytics on large datasets, preferably in the financial services industry
- Experience utilizing or evaluating applied data and computer science technologies in finance or other adjacent sectors
- Experience with the entire software development cycle
- Experience driving the architecture, engineering, and software design of large-scale, multi-tiered, distributed software applications, databases, tools, systems, and services a plus
- Fundamentals in data structures, algorithms, and software design a plus
