Total 7 job vacancies by Dkatalis Private Limited

About DKatalis

DKatalis is a financial technology company with multiple offices in the APAC region. In our quest to build a better financial world, one of our key goals is to create an ecosystem-linked financial services business.

DKatalis is built and backed by experienced and successful entrepreneurs, bankers, and investors in Singapore and Indonesia who have more than 30 years of financial domain experience and are from top-tier schools like Stanford, Cambridge London Business School, JNU with more than 30 years of building financial services/banking experience from Bank BTPN, Danamon, Citibank, McKinsey & Co, Northstar, Farallon Capital, and HSBC.

About the role

You will be part of a cross-functional agile engineering team (squad) responsible to build, deploy and run (support) one or more of our digital products, focusing on full-stack experience to build robust & resilient systems (front-end & back-end).

You will work closely with Engineers, Product, Design, and other stakeholders, collaboratively ensuring quality gets built in the product, get to see your impact in everyday lives of many people, and have great fun while doing it.

You will share your learnings within and beyond your team (squad) and mentor budding engineers for good engineering practices

What will you do

• Working with engineering+product owners to design, refine and develop the product, from concept to implementation.
• Main contributor in creating best in-class product & experience for our customers by designing, building, scaling, and evolving our platforms, services, and tools
• Communicate, collaborate and work effectively across cross functional teams in a multicultural environment
• Mentor a team of highly talented and motivated engineers
• Ensure the performance, security, and responsiveness of applications built
• Continuously improve code quality, product execution, automatization and customer delight

What you need to have

• You have at least 10+ years of professional experience in a similar role developing highly scalable applications
• Good written and spoken English
• Hands on expertise in Java / Javascript or its derivatives (Typescript, NodeJS, Scala, Kotlin, Springboot, etc)
• Have hands on experience on one of this front-end development (Flutter Preferred)
• Experience to Lean/XP practices (TDD, Pair Programming, Continuous Integration/Delivery for both Mobile & Back-end)
• Experience working in Agile Software development
• Communicate, collaborate, and work effectively across distributed teams in a multicultural environment.
• You’re excited about delivering end-to-end experiences and care about your software architecture across the front-end, back-end, and the APIs that glue them together
• A passion for quality and best practices but with a pragmatism that understands the
  balance between perfection and delivering value in a timely manner.
• Enjoys mentoring more junior engineers on good engineering practices & share knowledge

About DKatalis

DKatalis is a financial technology company with multiple offices in the APAC region. In our quest to build a better financial world, one of our key goals is to create an ecosystem-linked financial services business. DKatalis is built and backed by experienced and successful entrepreneurs, bankers, and investors in Singapore and Indonesia who have more than 30 years of financial domain experience and are from top-tier schools like Stanford, Cambridge London Business School with more than 30 years of building financial services/banking experience from Bank BTPN, Danamon, Citibank, McKinsey & Co, Northstar, Farallon Capital, and HSBC.

About the role

We are seeking an experienced Senior Data Scientist to lead our data science initiatives and drive innovation in our financial technology products and services. The ideal candidate will have a strong background in machine learning, deep learning, and their applications in the banking and financial services industry.

Key Responsibilities:

• Lead the development and implementation of advanced machine learning models for a variety of projects, including but not limited to:
  • Fraud detection and prevention
  • Anomaly detection in financial transactions
  • Recommendation engines for financial products
  • Risk assessment and management
  • Customer segmentation and personalization
  • Credit scoring and loan approval automation
  • Anti-money laundering (AML) systems
  • Market trend prediction and algorithmic trading
• Develop and implement large language models (LLMs) for applications such as:
  • Automated document processing and information extraction
  • Sentiment analysis of customer feedback and market reports
• Collaborate with cross-functional teams, including engineering, business stakeholders, and data analysts to identify opportunities, define problems, and implement data-driven solutions
• Mentor junior data scientists and provide technical leadership to the data science team
• Design and oversee the end-to-end machine learning pipeline, from data ingestion and preprocessing to model deployment and monitoring in production environments
• Stay current with the latest advancements in AI and machine learning, particularly in the fintech space, and incorporate new techniques into our projects
• Communicate complex technical concepts to both technical and non-technical audiences, including executives and stakeholders

Requirements:

• Degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field
• 5+ years of experience in applied data science, with a strong focus on the banking and financial services industry
• Proven track record of building and deploying machine learning models into production environments
• Proficiency in Python and the PyData ecosystem (NumPy, pandas, scikit-learn)
• Strong experience with deep learning frameworks such as PyTorch or TensorFlow
• Familiarity with cloud platforms (AWS, GCP, or Azure) and their machine learning services
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL
• Experience with A/B testing and experimental design in a financial context
• Demonstrated ability to work with and process various data types, including structured financial data, unstructured text, and time series data
• Strong understanding of statistical concepts and their applications in finance
• Excellent communication skills, with the ability to present complex ideas to both technical and non-technical audiences
• Experience leading projects and mentoring junior team members

What will make you stand out:

• Experience with LLMs, including fine-tuning and deployment for specific use cases
• Knowledge of MLOps practices and tools for model versioning, deployment, and monitoring
• Relevant open-source projects, blog posts, conference talks, etc

This role offers an exciting opportunity to work at the forefront of financial technology, applying cutting-edge machine learning techniques to solve real-world problems in the banking and financial services industry. The successful candidate will play a crucial role in shaping the future of our products and services, driving innovation, and contributing to the growth of DKatalis.

About DKatalis

DKatalis is a financial technology company with multiple offices in the APAC region. In our quest to build a better financial world, one of our key goals is to create an ecosystem-linked financial services business.

DKatalis is built and backed by experienced and successful entrepreneurs, bankers, and investors in Singapore and Indonesia who have more than 30 years of financial domain experience and are from top-tier schools like Stanford, Cambridge London Business School, JNU with more than 30 years of building financial services/banking experience from Bank BTPN, Danamon, Citibank, McKinsey & Co, Northstar, Farallon Capital, and HSBC.

About the role

You will be part of cross-functional agile engineering team (squad) responsible to build, deploy and run (support) one or more of our digital products, focusing on full-stack experience to build robust & resilient systems (front-end & back-end).

You will work closely with Engineers, Product, Design, and other stakeholders, collaboratively ensuring quality gets built in the product, get to see your impact in everyday lives of many people, and having great fun while doing it.

You will share your learnings within and beyond your team (squad) and mentor budding engineers for good engineering practices

What will you do

• Working with engineering+product owners to design, refine and develop the product, from concept to implementation.
• Main contributor in creating best in-class product & experience for our customers by designing, building, scaling, and evolving our platforms, services, and tools
• Communicate, collaborate and work effectively across cross functional teams in a multi-cultural environment
• Mentor a team of highly talented and motivated engineers
• Ensure the performance, security, and responsiveness of applications built
• Continuously improve code quality, product execution, automatization and customer delight

What you need to have

• You have at least 10+ years of professional experience in a similar role developing highly scalable applications
• Good written and spoken English
• Hands on expertise in Java / Javascript or its derivatives (Typescript, NodeJS, Scala, Kotlin, Springboot, etc)
• Have hands on experience on one of this front-end development (Flutter Preferred)
• Experience to Lean/XP practices (TDD, Pair Programming, Continuous Integration/Delivery for both Mobile & Back-end)
• Experience working in Agile Software development
• Communicate, collaborate, and work effectively across distributed teams in a multicultural environment.
• You’re excited about delivering end-to-end experiences and care about your software architecture across the front-end, back-end, and the APIs that glue them together
• A passion for quality and best practices but with a pragmatism that understands the
  balance between perfection and delivering value in a timely manner.
• Enjoys mentoring more junior engineers on good engineering practices & share knowledge

About DKatalis

DKatalis is a financial technology company with multiple offices in the APAC region. In our quest to build a better financial world, one of our key goals is to create an ecosystem linked financial services business.

DKatalis is built and backed by experienced and successful entrepreneurs, bankers, and investors in Singapore and Indonesia who have more than 30 years of financial domain experience and are from top-tier schools like Stanford, Cambridge London Business School, JNU with more than 30 years of building financial services/banking experience from Bank BTPN, Danamon, Citibank, McKinsey & Co, Northstar, Farallon Capital, and HSBC.

About the Role

We are seeking a hands-on Senior Data Engineer to help us build out and manage our data infrastructure, which will need to operate reliably at scale using a high degree of automation in setup and maintenance. The role will involve setting up and managing the data infrastructure plus building new systems where required. Responsibilities will extend to building and optimizing key ETL pipelines on both batch and streaming data. The ability to work with the teams from product, engineering, BI/analytics and data science is essential. Ownership needs to be taken of data model design and data quality. The individual will also play active roles in ensuring data governance tooling is implemented and policies thereby adhered to.

The individual will also need to be able to work with technical leadership to make well informed architectural choices when required. A high degree of empathy is required for the needs of the downstream consumers of the data artefacts produced by the data engineering team, i.e. the software engineers, data scientists, business intelligence analysts, etc and the individual needs to be able to produce transparent and easily navigable data pipelines. Value should be assigned to consistently producing high quality metadata to support discoverability and consistency of calculation and interpretation.

Candidates should have a wide set of experience across the following platforms, systems, languages and capabilities:

• Ideally GCP, but strong experience in another platform such as AWS or Azure will suffice
• Event streaming platforms such as Kafka
• Stream analytics frameworks such as Spark, GCP Dataflow, etc
• Workflow scheduler such as Apache Airflow
• Cloud data warehouses such as c, Redshift or Snowflake
• Fluency in using Kubernetes, Python.
• Comfortable writing detailed design documents

About DKatalis

DKatalis is a financial technology company with multiple offices in the APAC region. In our quest to build a better financial world, one of our key goals is to create an ecosystem-linked financial services business.

DKatalis is built and backed by experienced and successful entrepreneurs, bankers, and investors in Singapore and Indonesia who have more than 30 years of financial domain experience and are from top-tier schools like Stanford, Cambridge London Business School, JNU with more than 30 years of building financial services/banking experience from Bank BTPN, Danamon, Citibank, McKinsey & Co, Northstar, Farallon Capital, and HSBC.

About the role

You will be part of cross-functional agile engineering team (squad) responsible to build, deploy and run (support) one or more of our digital products, focusing on full-stack experience to build robust & resilient systems (front-end & back-end).

You will work closely with Engineers, Product, Design, and other stakeholders, collaboratively ensuring quality gets built in the product, get to see your impact in everyday lives of many people, and having great fun while doing it.

You will share your learnings within and beyond your team (squad) and mentor budding engineers for good engineering practices

What will you do

• Working with engineering+product owners to design, refine and develop the product, from concept to implementation.
• Main contributor in creating best in-class product & experience for our customers by designing, building, scaling, and evolving our platforms, services, and tools
• Communicate, collaborate and work effectively across cross functional teams in a multi-cultural environment
• Mentor a team of highly talented and motivated engineers
• Ensure the performance, security, and responsiveness of applications built
• Continuously improve code quality, product execution, automatization and customer delight

What you need to have

• You have at least 10+ years of professional experience in a similar role developing highly scalable applications
• Good written and spoken English
• Hands on expertise in Java / Javascript or its derivatives (Typescript, NodeJS, Scala, Kotlin, Springboot, etc)
• Have hands on experience on one of this front-end development (Flutter Preferred)
• Experience to Lean/XP practices (TDD, Pair Programming, Continuous Integration/Delivery for both Mobile & Back-end)
• Experience working in Agile Software development
• Communicate, collaborate, and work effectively across distributed teams in a multicultural environment.
• You’re excited about delivering end-to-end experiences and care about your software architecture across the front-end, back-end, and the APIs that glue them together
• A passion for quality and best practices but with a pragmatism that understands the
  balance between perfection and delivering value in a timely manner.
• Enjoys mentoring more junior engineers on good engineering practices & share knowledge

We are seeking a highly skilled and motivated SRE Technical Product Manager to join our innovative team.

As an SRE Technical Product Manager, you will play a critical role in developing, managing, and enhancing our SRE product and service portfolio. Your primary focus will be to understand the needs of internal engineering teams, industry trends, and best practices to create and execute a comprehensive roadmap for SRE tools, processes, and platforms. You will collaborate with cross-functional teams, including engineering, operations, DevOps, and product development, to ensure the successful implementation, scaling, and continuous improvement of our SRE solutions.

Responsibilities:

• SRE Strategy and Roadmap: Develop and maintain a clear and actionable SRE product strategy that aligns with the company’s overall vision and objectives. Create a detailed product roadmap, outlining key milestones, features, and enhancements based on internal customer needs, industry trends, and emerging technologies.
• Market Analysis and Internal Customer Insights: Conduct thorough research on industry best practices, emerging SRE technologies, and competitor analysis to identify opportunities and gaps in the SRE domain. Engage with engineering teams and stakeholders to gather feedback, understand pain points, and elicit requirements to enhance SRE offerings.
• Product Development and Execution: Collaborate with engineering, DevOps, and operations teams to conceptualize, plan, and execute the development of new SRE tools, processes, or features. Ensure that projects are delivered on time, within scope, and meet the highest quality and reliability standards.
• Service Launch and Communication: Develop comprehensive launch plans for SRE services, including communication strategies, documentation, and internal training materials. Work closely with internal teams to ensure alignment and awareness of new SRE features or changes.
• Performance Analysis and Continuous Improvement: Define key performance indicators (KPIs) to measure the success of SRE products and services. Regularly monitor their performance, using data-driven insights to identify areas for improvement and optimize reliability and efficiency over time.
• Compliance and Regulatory Considerations: Stay up-to-date with industry regulations, compliance standards, and security practices, ensuring that SRE products and services meet relevant requirements. Collaborate with legal, compliance, and security teams to address any potential concerns.
• Stakeholder Communication: Effectively communicate product updates, progress, and plans to internal stakeholders, including executive management, engineering teams, and relevant departments. Act as the subject matter expert for SRE products and participate in internal and external engagements, such as training sessions and tech talks.
• Product Training and Support: Work closely with engineering and support teams to ensure they are equipped with the necessary knowledge to address inquiries and provide effective support for SRE tools and platforms.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field. A Master’s degree is a plus.
• Proven experience as a Product Manager, preferably in the SRE, DevOps, or infrastructure domain.
• Strong understanding of SRE principles, including reliability, scalability, monitoring, and incident management.
• Demonstrated ability to develop and execute product strategies and roadmaps in a technical domain.
• Excellent project management and organizational skills, with a keen eye for detail.
• Analytical mindset with the ability to leverage data to make informed decisions.
• Strong communication and presentation skills, both written and verbal.
• Ability to work effectively in cross-functional teams and foster a collaborative environment.
• Understanding of agile development methodologies is desirable.

About the Role

As a part of our Data Science team, you'll play a crucial role in building, deploying, and supporting our digital products. Your focus will be on creating robust and resilient systems for Data Science use cases, catering not only to our products but also supporting various business units of Bank Jago, including Go-to-Market (GTM), Risk, and Servicing. You'll collaborate closely with Engineers, Product, and business stakeholders, collectively ensuring that our products maintain a high standard of quality. This role offers the opportunity to witness your impact on the daily lives of Bank Jago's customers while enjoying a dynamic and collaborative work environment.

What Will You Do

• Collaborate cross-functionally to design, develop, and enhance our digital products
• Shape superior product experiences by refining platforms, services, and tools
• Engage closely with diverse teams, learning effective communication across departments and cultures
• Assist in ensuring application performance, security, and responsiveness
• Continuously improve code quality, streamline processes, and prioritise customer satisfaction

What You Need To Have

• 5 to 7 years of professional experience (Machine Learning / Data Engineering / Software Engineering background are welcome to apply)
• Proficiency in Python
• Experience with Agile and Lean/XP practices
• Strong communication in distributed, multicultural teams
• Passion for end-to-end experiences and software architecture
• Balance between quality and timely delivery
• Adaptability, problem-solving skills, and a positive attitude

Desired Bonus Skills

1. Innovation Showcase - Highlight personal side projects or unique contributions demonstrating innovative thinking
2. Machine Learning Proficiency - Knowledge in machine learning concepts, algorithms, and frameworks (e.g., TensorFlow, PyTorch) is advantageous
3. Data Engineering Competence - Familiarity with data engineering practices (ETL processes, database design, Apache Spark) is a plus