As a Data Scientist you’ll be part of a team that is working on cutting edge machine learning models. You will work side by side with Analysts and Machine Learning Engineers and take full ownership of your work – from the initial idea-generation phase to the implementation of the final product. Our ideal candidate is result-focused, innovative, has a solid quantitative background and a good business understanding. About The Role Working in a multi-disciplined team where you’ll take full ownership of turning discoveries and ideas into machine learning models. Prototyping diverse machine learning models, from credit scoring to recommendation engine. Researching & Development on how to improve our models, by using our vast amount and unique set of data. Actively contribute to taking Data Science at Kredivo to the next level. About You Minimum of 5 years of hands-on experience in risk modeling within the financial services industry or other similar industries and at least 2 years experience in managing a team. Strong domain expertise and solid understanding of financial products, risk metrics, and regulatory requirements. Understand risk modeling best practices and capable of delivering end-to-end, robust and impactful data products. Proven track record of delivering high-quality data products in a fast-paced, dynamic environment. Excellent problem-solving skills with a demonstrated ability to think analytically and strategically. Strong communication skills with the ability to convey complex concepts to both technical and non-technical audiences. Bonus Points (optional) For Masters, PhD or equivalent experience in a quantitative field (i.e, Mathematics, Statistics, Econometrics, Artificial Intelligence, Physics). Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark). Show more Show less

Responsibilities Own the technical vision and roadmap for our mobile applications, aligning them with business goals. Design and implement scalable, secure, and maintainable architectures for Android and iOS apps. Champion adoption of standards and best practices within mobile engineering. Advocate for and implement reusable components and libraries to optimize development efforts. Lead the effort to analyze and troubleshoot performance bottlenecks, implementing effective solutions. Stay up-to-date on evolving security threats and implement robust security measures. Mentor and guide junior developers, fostering a culture of growth and collaboration. Effectively communicate technical concepts to both technical and non-technical stakeholders. Requirements Minimum 3 years of experience as a android developer. Relevant education (Bachelor's degree). Proven expertise in Android development, with strong architectural skills. Good understanding of mobile performance optimization techniques Proficcient with Kotlin, Android SDK, Android Studio, and other various tools. Solid knowledge of security principles and best practices in mobile development. Continuous learning to stay updated with new frameworks and technologies. Excellent communication, collaboration, and leadership skills. Passion for building user-centric, secure, and high-performing mobile applications. Show more Show less

We are looking for a hi-quality QA engineer to join our crack engineering team. Responsibilities Work closely with product, design and engineering teams to understand product requirements and design/execute test plans with complete ownership Develop and maintain automation suites for website, mobile application and backend services Review PRD and engineering design to share useful feedback on improvements before engineering execution cycle Carefully plan out release process including identifying inter-dependencies and backward compatibility Work closely with dev operations team in planning, executing and verifying product releases and measuring impact Replicate bugs reported in production on staging environment and help troubleshoot and fix with urgency Help define, drive and implement QA best practices and process Qualification & Experience BS, MS, and/or PhD in Computer Science or equivalent 3+ years in manual and automated testing of web services and mobile applications Strong understanding of Data Structures, Algorithms, and Computer Science fundamentals Strong understanding of testing best practices across white box, black box and regression testing Strong analytical, problem solving and troubleshooting skills to test product quality for functional/non-functional requirements Excellent with MySQL and scripting tools like BASH or Python on Linux Intermediate level experience writing automation suites in any language of choice Good understanding of HTTP, Web Services, OAuth and Restful APIs Experience working with CI tools like Jenkins, Travis or others Experience working with Git Good communication skills and strong attention to details Ability to work well in a team with humility, passion and self-motivation Show more Show less

Responsibilities Work with the Product, Business, and Sales teams to gather and understand requirements and deliver scalable solutions Design, develop, and maintain new and existing web applications. Write high quality, maintainable code. Continuously optimize existing applications to achieve better design and performance. Ensure web applications are fully deployed, implemented, and functioning. Participate in design discussions, reviews and propose/implement solutions to technical problems and challenges Requirements B.S, M.S, and/or PhD in Computer Science or equivalent 2-4 years of working experience in the Software industry Strong understanding of Data Structures, Algorithms, and Computer Science fundamentals Experience working on NodeJS and some NodeJS frameworks such as ExpressJS. Experience working on frontend and client technologies such as JS, CSS3, HTML5, JSON, Angular/React/VueJS, etc. Proficient in HTTP, Web Services and Restful APIs Having a good understanding in SQL query is a plus Good Communication skills Ability to work well in a team with a positive attitude Show more Show less

Responsibilities Successfully and independently deliver large-size projects, including scoping, planning, design, development, testing, rollout and maintenance. Write clean, concise, modular and well-tested code. Review code from junior engineers and provide constant and constructive feedback. Contribute to building and maintaining documentation related to the team's projects. Create high quality, loosely coupled, reliable and extensible technical designs. Actively understand trade-offs between different designs and apply the solution suited to the situation / requirements. Participate in the team's on-call rotation and lead the troubleshooting and resolution process of any issues related to the services/ work sub-streams/ products owned by your team. Constantly improve the health and quality of the services / code they work on, through set practices and new initiatives. Lead the cross-team collaborations for the projects they work on. Support hiring and on-boarding activities along with coaching and developing junior members in your team, and contribute to knowledge sharing. Must Have Qualifications and Experience: 4-6 years of hands-on experience in designing, developing, testing, and deploying small to mid-scale applications in any language or stack. 2+ years of recent and active software development experience. Good understanding of Golang. Able to use Go concurrency patterns and contribute to building reusable Go components. Strong experience in designing loosely coupled, reliable and extensible distributed services. Great understanding of clean architecture, S.O.L.I.D principles, and event-driven architecture. Experience with message broker services like SQS, Kafka, etc. Strong data modeling experience in Relational databases. Strong cross-team collaboration and communication skills. Self-driven with a passion for learning new things quickly, solving challenging problems, and the drive to get better with the support from the manager. Nice To Have A bachelor degree in computer science, information technology, or equivalent education. Experience with NoSQL databases. Show more Show less

As a Data Scientist you’ll be part of a team that is working on cutting edge machine learning models. You will work side by side with Analysts and Machine Learning Engineers and take full ownership of your work – from the initial idea-generation phase to the implementation of the final product. Our ideal candidate is result-focused, innovative, has a solid quantitative background and a good business understanding. About The Role Working in a multi-disciplined team where you’ll take full ownership of turning discoveries and ideas into machine learning models. Prototyping diverse machine learning models, from credit scoring to recommendation engine. Researching & Development on how to improve our models, by using our vast amount and unique set of data. Actively contribute to taking Data Science at Kredivo to the next level. About You Minimum of 5 years of hands-on experience in risk modeling within the financial services industry or other similar industries and at least 2 years experience in managing a team. Strong domain expertise and solid understanding of financial products, risk metrics, and regulatory requirements. Understand risk modeling best practices and capable of delivering end-to-end, robust and impactful data products. Proven track record of delivering high-quality data products in a fast-paced, dynamic environment. Excellent problem-solving skills with a demonstrated ability to think analytically and strategically. Strong communication skills with the ability to convey complex concepts to both technical and non-technical audiences. Bonus Points (optional) For Masters, PhD or equivalent experience in a quantitative field (i.e, Mathematics, Statistics, Econometrics, Artificial Intelligence, Physics). Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark). Show more Show less

As a Data Scientist you’ll be part of a team that is working on cutting edge machine learning models. You will work side by side with Analysts and Machine Learning Engineers and take full ownership of your work – from the initial idea-generation phase to the implementation of the final product. Our ideal candidate is result-focused, innovative, has a solid quantitative background and a good business understanding. About The Role Working in a multi-disciplined team where you’ll take full ownership of turning discoveries and ideas into machine learning models. Prototyping diverse machine learning models, from credit scoring to recommendation engine. Researching & Development on how to improve our models, by using our vast amount and unique set of data. Actively contribute to taking Data Science at Kredivo to the next level. About You Minimum of 5 years of hands-on experience in risk modeling within the financial services industry or other similar industries and at least 2 years experience in managing a team. Strong domain expertise and solid understanding of financial products, risk metrics, and regulatory requirements. Understand risk modeling best practices and capable of delivering end-to-end, robust and impactful data products. Proven track record of delivering high-quality data products in a fast-paced, dynamic environment. Excellent problem-solving skills with a demonstrated ability to think analytically and strategically. Strong communication skills with the ability to convey complex concepts to both technical and non-technical audiences. Bonus Points (optional) For Masters, PhD or equivalent experience in a quantitative field (i.e, Mathematics, Statistics, Econometrics, Artificial Intelligence, Physics). Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark). Show more Show less

As a Data Scientist you’ll be part of a team that is working on cutting edge machine learning models. You will work side by side with Analysts and Machine Learning Engineers and take full ownership of your work – from the initial idea-generation phase to the implementation of the final product. Our ideal candidate is result-focused, innovative, has a solid quantitative background and a good business understanding. About The Role Working in a multi-disciplined team where you’ll take full ownership of turning discoveries and ideas into machine learning models. Prototyping diverse machine learning models, from credit scoring to recommendation engine. Researching & Development on how to improve our models, by using our vast amount and unique set of data. Actively contribute to taking Data Science at Kredivo to the next level. About You Minimum of 5 years of hands-on experience in risk modeling within the financial services industry or other similar industries and at least 2 years experience in managing a team. Strong domain expertise and solid understanding of financial products, risk metrics, and regulatory requirements. Understand risk modeling best practices and capable of delivering end-to-end, robust and impactful data products. Proven track record of delivering high-quality data products in a fast-paced, dynamic environment. Excellent problem-solving skills with a demonstrated ability to think analytically and strategically. Strong communication skills with the ability to convey complex concepts to both technical and non-technical audiences. Bonus Points (optional) For Masters, PhD or equivalent experience in a quantitative field (i.e, Mathematics, Statistics, Econometrics, Artificial Intelligence, Physics). Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark).

We are looking for a hi-quality QA engineer to join our crack engineering team. Responsibilities Work closely with product, design and engineering teams to understand product requirements and design/execute test plans with complete ownership Develop and maintain automation suites for website, mobile application and backend services Review PRD and engineering design to share useful feedback on improvements before engineering execution cycle Carefully plan out release process including identifying inter-dependencies and backward compatibility Work closely with dev operations team in planning, executing and verifying product releases and measuring impact Replicate bugs reported in production on staging environment and help troubleshoot and fix with urgency Help define, drive and implement QA best practices and process Qualification & Experience BS, MS, and/or PhD in Computer Science or equivalent 3+ years in manual and automated testing of web services and mobile applications Strong understanding of Data Structures, Algorithms, and Computer Science fundamentals Strong understanding of testing best practices across white box, black box and regression testing Strong analytical, problem solving and troubleshooting skills to test product quality for functional/non-functional requirements Excellent with MySQL and scripting tools like BASH or Python on Linux Intermediate level experience writing automation suites in any language of choice Good understanding of HTTP, Web Services, OAuth and Restful APIs Experience working with CI tools like Jenkins, Travis or others Experience working with Git Good communication skills and strong attention to details Ability to work well in a team with humility, passion and self-motivation

Responsibilities Successfully and independently lead large features, multi-person efforts that usually cross engineering team boundaries. Responsible for the successful delivery of their projects, including coordination, planning, risk management, design, development, testing, rollout, and maintenance. Work closely with your manager to align the priorities of your team with the priorities of the entire organization. Write clean, concise, modular and well-tested code. Lead high quality, loosely coupled, reliable and extensible engineering designs, soliciting feedback and building consensus. Provide meaningful feedback and guide other engineers to resolve open questions in their designs and code. Lead long term health and quality of the team’s codebase and systems by starting necessary processes and removing outdated ones. Drive collaboration with their teammates, partners and stakeholders to advance team goals. Assist and teach engineers on an individual basis. Lift the skills and expertise of those around them. Cultivate learning and growth within their team. Exemplify and uphold software engineering standards within their team. Is an excellent source of insights and wisdom within their team. Conduct engineering interviews. Participate in activities to attract and retain talent, including building community inside or outside of Kredivo Group. Qualifications And Experience Must have: At least 7 years of hands-on experience in developing, testing, and deploying large-scale applications in any language or stack. At least 2 years of experience in leading a team of engineers. Good experience with Golang. Able to use Go concurrency patterns and contribute to building reusable Go components. Strong experience in designing loosely coupled, reliable and extensible distributed services. Great understanding of clean architecture, S.O.L.I.D principles, and event-driven architecture. Experience with message broker services like SQS, Kafka, etc. Strong data modeling experience in both Relational and NoSQL databases. Good experience with cloud-based systems and infrastructure services like AWS, GCP, etc. Strong cross-team collaboration, communication (written and spoken) skills and analytical skills with attention to details. Self-driven with a passion for learning new things quickly, solving challenging problems, and the drive to get better with the support from the manager. Nice To Have A bachelor degree in computer science, information technology, or equivalent educatioPR #L1 -PR1

As a seasoned iOS Platform Architect, you will play a pivotal role in defining and leading the evolution of the iOS platform architecture to effectively support multiple product teams and future scaling. Your responsibilities will include building and maintaining shared frameworks, reusable components, and SDKs. You will also be tasked with managing and streamlining iOS CI/CD pipelines to ensure efficient, secure, and automated releases. Setting and maintaining standards for modularisation, testing, and build configurations will be critical aspects of your role. Collaboration with cross-functional teams to optimize internal tools and services for iOS platform will also be a key responsibility. You will be expected to enhance developer workflows in Xcode, thereby reducing friction in everyday development tasks. In addition to the above, monitoring app performance and implementing strategies to reduce crash rates and app size will be part of your routine. Advocating for platform consistency, security best practices, and continuous improvement will also be integral to your contributions. To be successful in this role, you should possess at least 5 years of professional iOS development experience and demonstrate expertise in Swift. A strong knowledge of CocoaPods, Xcode tooling, and modular architecture is essential. Experience with build automation and release management would be beneficial but not mandatory. A passion for developer productivity, build optimization, and testing infrastructure is highly desirable. A deep understanding of the iOS app lifecycle, performance tuning, and secure coding practices is crucial for excelling in this position. Moreover, strong cross-team collaboration and mentoring skills will be key to effectively working with various stakeholders within the organization.,