Nium, the Leader in Real-Time Global Payments
At Nium, we operate at the intersection of an increasingly interconnected world, where the traditional finance industry has been disrupted, and on-demand is in demand. Our payments infrastructure is leading a transformation in payments, enabling anyone, anywhere to make and receive payments instantly, regardless of the location or currency. We currently support:
- Regulatory Licenses and Authorizations in 40+ Countries, enabling seamless onboarding, rapid integration, and compliance
- 190+ Pay Out Markets 100+ in real time
- 35+ Pay In Markets
- 30+ Card Issuance Markets
- 100+ Supported Currencies
Today, Nium is the leader in real-time global payments and the fastest way to send money across borders. We are co-headquartered in San Francisco and Singapore, with regional offices in Australia, Brazil, Hong Kong, India, Indonesia, Japan, Lithuania, London, Malaysia, Malta, Netherlands, and UAE.
Position Overview
As a Data and machine learning Engineer at Nium, you will play a crucial role in designing, building, and scaling our cutting-edge data infrastructure while also applying your quantitative acumen in data modeling. You will design, build, and optimize machine learning models that enhance our products and improve customer experiences. You will work closely with product managers and other engineering teams to develop innovative solutions that drive business insights and empower data-driven decision-making. Your unique combination of technical, analytical and machine learning skills will be invaluable as we continue to expand our global reach and refine our services
Key Responsibilities
- Design and implement scalable, maintainable, and high-performance data pipelines to process large volumes of structured and unstructured data.
- Develop and maintain ETL processes, ensuring data accuracy, completeness, and timeliness.
- Develop and deploy machine learning models and algorithms to solve complex problems, ensuring scalability and performance. Conduct model evaluation, validation, and tuning to ensure high accuracy and robustness.
- Maintain documentation for models, processes, and methodologies, and debug issues related to machine learning pipelines.
- Drive the adoption of advanced analytics and machine learning capabilities across the organization.
- Implement and enforce data governance policies and best practices to ensure data quality and security
Qualifications
- Bachelor's degree in Computer Science, Engineering, Data Science or a related field
- 3-5 years of experience in a similar role. - Strong programming skills in Python or Java
- Expertise in datalake, datawarehouse, big data technologies such as Snowflake, redshift, Spark, Kafka, Flink.
- Strong fundamentals of machine learning algorithms (e.g., regression, classification, clustering, neural networks).
- Experience with machine learning frameworks and libraries such as Scikit-learn and TensorFlow
- Familiarity with data preprocessing techniques, feature engineering, and data visualisation tools.
- Strong problem-solving skills, ability to work independently and as part of a team, and excellent communication skills to convey technical concepts to non-technical stakeholders.
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job candidates. Please review our Candidate Privacy Notice for more information.
Candidate Privacy Notice: https://www.nium.com/privacy/candidate-privacy-notice
What We Offer At Nium
We Value Performance: Through competitive salaries, performance bonuses, uncapped sales commissions and robust performance reviews, we ensure that all employees are rewarded and incentivized for their hard work.
We Care for Our Employees: The wellness of Niumers is our #1 priority. In addition to many other benefits, we offer medical coverage, 24/7 employee assistance program, generous time off policies, and a year-end shut down. We also provide a hybrid working environment (3 days per week in the office).
We Upskill Ourselves: We are curious, always want to learn more and upskill ourselves. As well as role-specific training, we also offer a global learning stipend.
We Constantly Innovate: Nium continues to be globally recognized for its constant innovations, growth, and employee-centric mindset since our inception:
- 2022 Great Place To Work Certification
- 2023 CB Insights Fintech 100 List of Most Promising Fintech Companies .
We Celebrate Together: Work is also about having fun with your colleagues and forging deep relationships. We host company-wide social events onsite and virtually, provide team morale budget and bonding activities, happy hours, team offsites, and much more!
We Thrive with Diversity: Across 33 nationalities and 18+ countries, our diverse and multicultural team embodies our commitment to a safe and welcoming environment for everyone.
What Its Like To Be a Nium'er
At Nium we center our way of work around 3 core values globally:
#KeepItSimple: We cut through complexity, simplify at speed and operate with scale in mind.
#MakeItBetter: We build innovative solutions that make our customers lives better.
#WinItTogether: We win in this competitive market by collaborating as one team.
For more information, visit www.nium.com . 
