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Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. Feedzai is securing the transition to a cashless world while enabling digital trust in every transaction and payment type. The world’s largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. Feedzai is a Series D company and has raised $282M to date. With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year.
The Data Science Team within Customer Success is highly engaged with our clients making use of their critical thinking skills with a business-focused mentality and customer-facing attitude. They activate, maintain, and support clients, develop models and rules, and train & enable them. In addition, they work cross-functionally with other departments (e.g., Research, Product, Marketing) in a collaborative team spirit spanning the globe to ensure we deliver best in class risk prevention solutions. Being on the frontline of fighting crime and protecting people from financial harm is incredibly inspiring to each of us. Join Us!
Your Day to Day:
- Understanding the data which our clients provide to us;
- Cleaning that data and validating that it is correct;
- Preprocessing the data, usually by using a mixture of shell scripts and a programming language such as Python, Java, Scala, etc
- Iteratively computing features and tuning parameters to improve the quality of the model;
- Communicating your findings to the project manager and assisting him/her in decision making on the Data Science part of the project;
- Work together with key stakeholders (data scientists, engineers, risk managers) from our clients;
- Work with other parts of the organization (Product, Research, etc.) to improve processes, best practices and tooling.
You Have & You Know-how:
- MSc or PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics or related field;
- Proficient in Machine Learning (training and testing, avoiding overfit, etc.);
- Knowledge of Big Data technologies such as Spark, Hadoop and related;
- Proficiency in bash, Python and either Java or Scala;
- Knowledge of resource monitoring and runtime optimization (both at JVM and OS level);
- Knowledge of statistics or data visualization is a plus;
- Knowledge of tree based algorithms (Random Forests, XGBoost, LGBM) is a plus;
- Knowledge of Deep Learning algorithms is a plus;
- Ability to communicate your findings in a clear way.
The Customer Success Team is responsible for delivering our product to our clients. This includes education, configuration, solution development, and risk strategy to enable our clients to address their pain points. We collaborate with our clients to ensure they have the right solution, build out a strategy and training plan for them, and then support them through each phase of our client lifecycle. We grow at a fast clip and believe no challenge is too big or too small. Therefore, we have an open environment that encourages us to lean in, try new things, and discover our potential. Join Us!
#LI-remote #LI-BR1
Your First 30-Days at Feedzai:
You will be immersed in our brand with training, connections, and one-on-one time with your manager. You may shadow your colleagues virtually or onsite at an office depending on where you work as you are supported through your Feedzai journey. In addition, you will have access to a ton of information to give you history, context, and all the knowledge you can handle about Feedzai and the team. Finally, you will start working on projects and collaborating on work currently being done. We can't wait to have you join the team!
Feedzai is an Equal Opportunity Employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Feedzai does not accept unsolicited resumes from recruiters or employment agencies.
Feedzai will use the personal data you provide us with by filling out this form for reviewing your application and to potentially negotiate a contract with you. Your personal data will be retained by Feedzai for 24 months following your application. Please see our Privacy Notice available at https://www.feedzai.com/legal/feedzai-candidate-privacy-policy/ and https://www.feedzai.com/legal/feedzai-california-candidates-privacy-policy/ for more information on how we process your personal data.
Ready to apply?
Apply to Feedzai
About this job
At JUMO, we’ve built a smart financial services platform to make finance accessible to everyone. Our Data engineering team ensures that our intelligent banking platform is able to acquire data from millions of users across globally distributed sources, such as GSM. Beyond ingress, the data is processed and stored in the cloud to support event-driven analytics and machine learning pipelines.
As a JUMO Junior Data Engineer, you will design, build and maintain scalable data architectures. You will monitor their performance, perform root cause analysis and provide solutions to any issues that might arise. You will work with large, complex data sets, which means experience working with Big Data is essential. On a typical day, we use Spark, Kafka, Python, SQL, Airflow and AWS technologies, such as Redshift. We work with Docker and Kubernetes for automating deployment, scaling, and management of containerized applications.
You will
- Be responsible for creating robust, mission critical batch and streaming data processing capabilities
- Design, implement, and maintain the data pipelines that constitute JUMO's data platform, enabling effective use of data across the organisation
- Provide feedback on team members' output, encouraging skills development within the team
- Work closely with Portfolio Managers and Decision Scientists to understand the real world problems we’re trying to solve
- Be supported by senior leaders as you drive your own development
You will need
- BSc. in Computer Science, Electrical Engineering or equivalent tertiary degree
- Real-world understanding & experience of data pipeline design and development, as well as data processing and storage (i.e. experience in designing systems to process and curate large data sets)
- Experience in streaming technologies, specifically Spark and Kafka
- Experience with cloud technologies, AWS preferred
- Solid, proven experience working with big-data technologies such as Apache Spark, Flink, Hadoop, Kafka or Kinesis, DynamoDB
- Command of productionising and monitoring of data pipeline workflows, and working knowledge of the Data Product Lifecycle
- Experience in application design and development with at least one of the following languages: Python (preferred), Kotlin
- RDBMS experience in any relevant technology such as MySQL, PostgreSQL, Redshift and SQL Server. This includes experience with relational database administration, technical architectures and infrastructure components
- Understanding of CI/CD practices
- Productive within a Linux command line environment
- Proven ability to contribute software as part of a team. We are looking for someone that can effectively communicate technical concepts, and apply critical thinking under pressure
Bonus if you have
- Experience working with messaging systems (RabbitMQ, Redis, SNS)
- Experience working with data pipeline orchestration (Airflow, Nifi, Dagster )
- Experience working with production BI environments and tools (Tableau, Superset, Looker)
We ask a lot of each other at JUMO, but we give a lot too.
You will love
- Collaborating with smart, engaging people in an inspiring work environment
- Working for impact
- Growing and learning continuously, with loads of encouragement and support
- Boldly taking risks as we navigate new challenges
- Flexible work practices enabling your best delivery
- Being autonomous and empowered to lead
- A stack of leading-edge technologies
Remote First
We operate a remote first working approach, where working remotely is our default way of working. Our environment is designed to foster innovation and enable collaboration. You have flexibility where to work from (between time zone UTC 0 and UTC +3), as long as you are set up to work remotely and have access to data with a strong and reliable connection as we value online facetime for collaboration at JUMO.
Diversity and Inclusion
At JUMO, we firmly believe that diversity strengthens our teams. We are dedicated to fostering an inclusive recruitment process that cultivates an environment where all individuals can be authentic, collaborate, and thrive.
Ready to apply?
Apply to JUMO
About this job
At JUMO, we’ve built a smart financial services platform to make finance accessible to everyone. Our Data engineering team ensures that our intelligent banking platform is able to acquire data from millions of users across globally distributed sources, such as GSM. Beyond ingress, the data is processed and stored in the cloud to support event-driven analytics and machine learning pipelines.
As a JUMO Data Engineer, you will design, build and maintain scalable data architectures. You will monitor their performance, perform root cause analysis and provide solutions to any issues that might arise. You will work with large, complex data sets, which means experience working with Big Data is essential. On a typical day, we use Spark, Kafka, Python, SQL, Airflow and AWS technologies, such as Redshift. We work with Docker and Kubernetes for automating deployment, scaling, and management of containerized applications.
You will
- Be responsible for creating robust, mission critical batch and streaming data processing capabilities
- Design, implement, and maintain the data pipelines that constitute JUMO's data platform, enabling effective use of data across the organisation
- Provide feedback on team members' output, encouraging skills development within the team
- Work closely with Portfolio Managers and Decision Scientists to understand the real world problems we’re trying to solve
- Mentor juniors with technical leadership
- Be supported by senior leaders as you drive your own development
You will need
- BSc. in Computer Science, Electrical Engineering or equivalent tertiary degree
- Real-world understanding & experience of data pipeline design and development, as well as data processing and storage (i.e. experience in designing systems to process and curate large data sets)
- Experience in streaming technologies, specifically Spark and Kafka
- Experience with cloud technologies, AWS preferred
- Solid, proven experience working with big-data technologies such as Apache Spark, Flink, Hadoop, Kafka or Kinesis, DynamoDB
- Command of productionising and monitoring of data pipeline workflows, and working knowledge of the Data Product Lifecycle
- Experience in application design and development with at least one of the following languages: Python (preferred), Kotlin
- RDBMS experience in any relevant technology such as MySQL, PostgreSQL, Redshift and SQL Server. This includes experience with relational database administration, technical architectures and infrastructure components
- Understanding of CI/CD practices
- Productive within a Linux command line environment
- Proven ability to contribute software as part of a team. We are looking for someone that can effectively communicate technical concepts, and apply critical thinking under pressure
Bonus if you have
- Experience working with messaging systems (RabbitMQ, Redis, SNS)
- Experience working with data pipeline orchestration (Airflow, Nifi, Dagster )
- Experience working with production BI environments and tools (Tableau, Superset, Looker)
We ask a lot of each other at JUMO, but we give a lot too.
You will love
- Collaborating with smart, engaging people in an inspiring work environment
- Working for impact
- Growing and learning continuously, with loads of encouragement and support
- Boldly taking risks as we navigate new challenges
- Flexible work practices enabling your best delivery
- Being autonomous and empowered to lead
- A stack of leading-edge technologies
Remote First
We operate a remote first working approach, where working remotely is our default way of working. Our environment is designed to foster innovation and enable collaboration. You have flexibility where to work from (between time zone UTC 0 and UTC +3), as long as you are set up to work remotely and have access to data with a strong and reliable connection as we value online facetime for collaboration at JUMO.
Diversity and Inclusion
At JUMO, we firmly believe that diversity strengthens our teams. We are dedicated to fostering an inclusive recruitment process that cultivates an environment where all individuals can be authentic, collaborate, and thrive.
Ready to apply?
Apply to JUMO
Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. Feedzai is securing the transition to a cashless world while enabling digital trust in every transaction and payment type. The world’s largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. Feedzai is a Series D company and has raised $282M to date. With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year.
The Engineering (Tech) Team is responsible for all Feedzai product development. Together with Product Management and Data Science, we build the next generation of tools to catch fraud in real-time with a machine learning first approach. Formed by engineers and managed by engineers, at Feedzai, you will find one of the most talented teams out there, from junior to senior engineers.
We are fast-paced and provide a safe, open, and collaborative environment that encourages us to lean in, try new things and discover our potential with continuous learning for everyone.
While building the best value for our customers, you will work with a wide range of technical challenges. Such as building distributed systems that need to operate 24/7 and ultra-low latencies, solving UI/UX problems to help fraud analysts to fight fraud more efficiently. In addition, designing extensive databases from relational, NoSQL and graphs, validate and develop new data science techniques and algorithms.
Feedzai’s Pulse Engineering organization powers the Risk Engine that evaluates transactions in real-time based on strategies configured by data scientists and fraud analysts. At the same time, the Datascience Framework (DSF) provides a platform for clients to design, test, and promote these strategies into production. DSF runs complex, high-volume data workloads - Spark jobs on EMR or Kubernetes, Hadoop ecosystem components (HDFS/YARN), data ingestion pipelines via Firehose and Glue into S3, and interactive workflows through JupyterLabs and the DS API.
You:
As a Senior Data Engineer in Pulse Engineering, you will ensure the stability, scalability, and performance of DSF, working at the intersection of distributed systems, big data engineering, and developer experience. Your work will ensure that DS workloads run reliably, efficiently, and at scale, directly supporting the Risk Engine in production.
You are a Big Data specialist with deep hands-on expertise in Apache Spark and distributed data systems. You know how to tune jobs, troubleshoot cluster behaviour, and design scalable data workflows. At the same time, you’re a software engineer at heart — someone who writes clean, maintainable code, understands APIs, and can build platform components in Java with first-principles engineering discipline. You take pride in operating what you build, debugging complex distributed systems, and enabling data scientists and analysts with a platform that is reliable, predictable, and performant.
Our philosophy across Engineering includes the following key ideas, which you will have a key role promoting in your team:
- Teams operate with a “you build it, you run it” DevOps mindset, taking end-to-end ownership of development, deployment, and operations. You'll drive a culture focused on automation, observability, and operational excellence, enabling continuous delivery with confidence.
- Architecture evolves towards a decoupled, microservice-based architecture, positioning it to scale efficiently in a multi-tenant, cloud-native environment. This effort is central to Feedzai’s long-term vision and product evolution
Your Day-to-Day
- Re-architect and scale existing big data processing components powering DSF.
- Analyse workload patterns (Spark jobs, notebook activity, DS API usage) and drive performance, reliability, and cost improvements.
- Ensure stability of Spark jobs running on EMR or Kubernetes clusters.
- Operate and evolve Hadoop ecosystem components (HDFS, YARN) and Spark runtimes.
- Maintain and improve ingestion pipelines between Runtime and DSF (Firehose, Glue → S3).
- Improve the developer and power-user experience across JupyterLabs and the DS API.
- Collaborate with product engineers, data scientists, and platform teams on DSF roadmap execution.
- Own services throughout their lifecycle following DevOps practices (“you build it, you run it”) and participate in an on-call rotation for our mission-critical platform, taking end-to-end ownership to ensure 24/7 reliability, with dedicated compensation.
You Have & You Know-How
- 5+ years of experience building and operating distributed big data systems
- Strong experience with Apache Spark - tuning, debugging, orchestration
- Strong programming fundamentals (Java required; Scala or Python a plus)
- Solid knowledge of the Hadoop ecosystem (HDFS, YARN)
- Experience operating Linux-based systems in cloud environments
- Familiarity with JupyterHub/JupyterLabs workflows
- Experience designing and operating ETL/ELT pipelines
- Comfort with continuous delivery, monitoring, and on-call responsibilities
- Ability to work autonomously on complex technical challenges
Preferred/Valued Qualifications and Skills:
- Experience running Spark on EMR or Kubernetes.
- Experience with Kubernetes, AWS S3, AWS Glue, Nessie, Trino, Spark, Kafka, Iceberg and Airflow
- Experience building data pipelines or automation for data-heavy workflows
- Contributions to OSS, especially in the Big Data ecosystem
- Experience developing or maintaining DS/ML engineering platforms.
The Product Team builds our product to disrupt the financial crime industry from a data-led approach. We partner with our clients using a holistic lens and have result-driven solutions to manage financial risk with a cloud-first platform and a world-class UX interface. Being part of this team, you have a voice in planning, strategizing, and challenging the status quo. Your thoughts and ideas are valued. Our fast-paced and open environment encourages us to lean in, try new things, and discover our potential. We define and act on what could be in tomorrow's world, not on what is today. Join Us!
#LI-Remote #LI-MG3
Your First 30-Days at Feedzai:
You will be immersed in our brand with training, connections, and one-on-one time with your manager. You may shadow your colleagues virtually or onsite at an office depending on where you work as you are supported through your Feedzai journey. In addition, you will have access to a ton of information to give you history, context, and all the knowledge you can handle about Feedzai and the team. Finally, you will start working on projects and collaborating on work currently being done. We can't wait to have you join the team!
Feedzai is an Equal Opportunity Employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Feedzai does not accept unsolicited resumes from recruiters or employment agencies.
Feedzai will use the personal data you provide us with by filling out this form for reviewing your application and to potentially negotiate a contract with you. Your personal data will be retained by Feedzai for 24 months following your application. Please see our Privacy Notice available at https://www.feedzai.com/legal/feedzai-candidate-privacy-policy/ and https://www.feedzai.com/legal/feedzai-california-candidates-privacy-policy/ for more information on how we process your personal data.
Ready to apply?
Apply to Feedzai