PALO IT is a global innovation and software development company dedicated to helping organizations craft tech as a force for good. We work with clients to rapidly launch products and services, create new business models, and prepare leadership and culture for the future. We are a community of innovators, designers and technologists across 16 offices and five continents (France, Hong Kong, Singapore, Thailand, Australia, Mexico, Colombia, Spain and the United States).

We're committed to helping businesses transform to better our world. We're proud to be a World Economic Forum (WEF) New Champion, and a B Corp-certified company in Singapore, Hong Kong and Mexico, currently working towards certification across all other locations.

YOUR ROLE:

The Data Scientist will design, build and execute machine learning techniques on large, complex, structured / unstructured data sets to find out hidden patterns and predictive signals. You will research and develop innovative solutions to deliver impact to our clients, contributing to bring intelligence in their digital mesh with the support of other Palo IT experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams.

YOUR RESPONSIBILITIES:

• Identify use cases allowing to take advantage of GenAI & Machine Learning capabilities
• Define data science approaches that fit with clients’ business challenges, using state-of-the-art methods to solve problems of large dimensionality in a computationally efficient and statistically effective manner. Examples include:
• Understanding a business problem
• Data Collection
• Data Preparation (cleaning, transformation, feature engineering)
• Model Training and Experimentation
• Model Evaluation
• Deployment
• Build advanced algorithms, using statistical knowledge and machine learning techniques to identify trends, patterns and predictive signals on large data sets
• Communicate algorithms results, limits and potential for improvement in a meaningful way
• Evaluate third party datasets and emerging technologies (e.g. LLMs, AI Agents, latest developments in Neural Networks) that may contribute to better results
• Collaborate with clients and other PALO IT practices to build a comprehensive end-to-end approach, gathering the relevant labelled data and features for ML algorithms into data-driven apps
• Participate in development of selected assets/accelerators that create scale
• Contribute to thought leadership through research and publication support
• Collaborate with cross-functional teams to productionize ML models
• Stay up-to-date with the latest data science and data engineering techniques and tools
• Provide technical leadership and mentorship to junior team members
• Deploy ML models into production (either alone or working with data engineers if necessary)
• Be a member of presales team to propose solutions for client opportunities

WHO YOU ARE:

• You hold a Bachelor, Master or PhD degree in Computer Science, Statistics or related discipline. Strong academic performance with analytic and quantitative coursework preferred
• 3-5 years of working experience
• Good knowledge of supervised/unsupervised machine learning techniques and algorithms
• Good applied skills with statistical programming languages such as R, Python (NumPy, pandas), SAS, SPSS etc.
• Experience with machine learning frameworks (e.g scikit-learn, Spark MLlib, Caffe, TensorFlow) and/or data science platforms (e.g. SAS, Dataiku)
• Experience of ML and LLM libraries and tools such as MLFlow, Langchain to develop GenAI applications, model experimentation and basic UI development with libraries such as Gradio or Streamlit.
• Experience with No-Code/Low-Code GenAI tools such as Langflow, Flowise, Rivet
• Data-oriented background in SQL, data wrangling and data modelling
• Exposure to data visualization tools and/or charting libraries (eg. Tableau, Qlik, D3.js, GGplot)
• Ability to apply advanced data science techniques such as deep learning, reinforcement learning, NLP to develop client solutions
• Willingness to be part of a multi-disciplinary team to develop end-to-end solutions for real world business problems
• Familiar with deploying Data projects into cloud (for example, Azure, AWS, GCP)

MORE ABOUT PALO IT:

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. With 2025 as our horizon, we are taking action to meet the following objectives:

• Become a climate net-zero company
• Attain 50% of revenue from projects with a positive impact
• Train 100% of our workforce on impact
• Achieve B Corp certification among all 16 of our offices across the globe
• Continuously measure & improve employee happiness

Our clients (https://www.palo-it.com/en/case-study) are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

WHAT WE OFFER:

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training

For more on our team culture and benefits in Singapore, check out our careers page (https://www.palo-it.com/en-sg/careers)

PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Palo-IT.

Your personal data will be processed for the purposes of managing Palo-IT’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice (https://www.palo-it.com/en/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

• Entry ~ Junior level
• Bachelor’s degree in Mathematics, Engineering, Business, Science, Computing, or any numerical fields
• Location: North Bridge Road
• Monday - Friday; 9 AM - 6 PM
• Salary: $3,500 - 3,800

Job Summary

We are seeking candidates with a strong quantitative background and the ability to think creatively. You will develop new methods of data collection using Python and other data-related tools. Additionally, you will be involved in scripting, sampling, and data processing for various research studies.

Key Responsibilities

You will be part of a team involved in the following activities:

• Designing and managing data tools
• Developing new data collection methods
• Improving existing survey interface designs
• Scripting survey questionnaires with logic implementation
• Studying survey software and developing new scripts
• Processing research data using software with syntaxes and codes
• Designing quantitative samples based on client requirements
• Monitoring quantitative fieldwork and adhering to project schedules and deadlines
• Coding open-ended (free text response) answers when required
• Performing quality checks and audits of survey implementations to ensure accuracy
• Creating highly actionable and digestible reports in PowerPoint

Requirements

• Bachelor’s degree in Mathematics, Engineering, Business, Science, Computing, or any other numerical field
• Candidates with market research (internship) experience are welcome
• Strong appetite for learning new data tools
• Openness to change and innovation
• Familiarity with Python is desired
• Basic competency in SPSS, R, and data visualization tools is preferred
• Knowledge of any survey software is an added advantage
• Ability to work with ambiguity and perform under pressure
• High level of precision in work

Interested candidates please apply online or send your latest CV to [email protected]

Kindly note that only shortlisted candidates will be notified.

Triton AI Pte Ltd

Registration Number: R23118389

EA: 21C0661

The Position

Lead the execution, maintenance and best practice of data management, data governance, and all related processes that support ASKAN's data strategy. The role will seek to maximize data as a valuable asset by having trusted data outputs that are created in a way that is reusable, scalable and repeatable, and ensure key stakeholders have access to reliable and trusted insights that enable the regional Human Pharma Business Unit to operate effectively. The role will ensure that these capabilities support the evolving business requirements and align with organizational strategy.

Duties & Responsibilities

• Lead the successful implementation of a Data Governance framework that ensures the accuracy and quality of the data being collected and stored is fit for purpose, and that business stakeholders trust that the quality of the data is accurate to drive valuable insight led decisions.
• Drive data initiatives across the organization for all data management activities, and champion global data management, governance, and quality.
• Work alongside local and global stakeholders to lead the design and delivery of current and future data platforms and architecture in-market.
• Ensure organisational understanding of the current data infrastructure and the roadmap for how this will continue to evolve.
• Responsible for putting in place an annual team plan that will ensure each group and all team members successfully deliver on Divisional and Dept objectives and ensure that the business is able to execute strategic decision-making in a timely fashion.
• Lead and develop an effective team that at all levels are able and committed to delivering objectives and to fostering Boehringer’s Values.
• Lead on the visualisation of data and commit to effective data storytelling that facilitates and inspires consistent data usage across all regional HP functions.

Requirements

• Bachelor’s or master’s degree in Information Technology, Information Management, a related field or equivalent experience.
• 7 years of professional experience.
• Demonstrable experience defining data management policies including ownership of data governance and data quality frameworks.
• Good technical knowledge of data architecture and associated technologies/frameworks:
• Modern data platforms (Enterprise Data Warehouses, Big Data & Cloud platforms)

Reporting

• Experience leading teams, including setting objectives, driving performance and embedding behaviours.
• Managing departments or teams, demonstrating strong leadership and communication skills
• Proven agile and innovative mindset, with experience working in fast-paced teams supporting critical business functions.
• Unbiased international view and inter-cultural competence
• Open minded, motivating personality with drive and initiative
• Willingness and ability to create and share knowledge
• Team player, flexible and willingness to adapt in a changing environment
• Excellent oral and written communications skills

First Konnection, the authorized education recruitment partner for this role, is collaborating with a cutting-edge education centre that leverages technology and data analytics to transform how Math is taught and learned.

The centre's unique curriculum, crafted by experienced educators and enhanced with real-time learning insights, aims to empower students to achieve their fullest potential.

We are seeking enthusiastic Math educators who are passionate about using data to personalize learning experiences and foster a deep understanding of mathematical concepts in primary school students.

If you’re excited about utilizing innovative teaching methods and want to be part of a dynamic and forward-thinking team, we encourage you to apply.

Why Join Us?

• Pioneering Educational Environment: Be part of a centre that’s redefining Math education through a data-driven approach.
• Professional Growth: Benefit from continuous training and the opportunity to progress into leadership roles through our Management Associate Programme.
• Supportive Culture: Work in a collaborative and growth-focused environment that values professional development.

Location:
Parkway Parade, Marine Parade

Your Role:

• Teach 10 to 12 classes weekly (2 hours per class) and inspire a love for Math in primary school students.
• Utilize our proprietary analytics platform to track student progress and provide individualized feedback to optimize learning outcomes.
• Share detailed progress reports with parents, offering actionable insights to support students’ academic development.
• Collaborate with fellow educators to refine the curriculum and contribute fresh ideas to enhance teaching standards.
• Participate in regular meetings and training sessions to stay updated on best practices.
• Maintain a safe and engaging classroom environment that supports the holistic development of every student.

Qualifications & Requirements:

• Bachelor’s Degree in Mathematics, Education, or a related field. (Local university graduates preferred).
• Strong familiarity with the local MOE curriculum.
• High level of enthusiasm, adaptability, and a commitment to nurturing young minds.
• Excellent communication skills and the ability to build positive relationships with students and parents.

Benefits:

• Annual Leave: 2 weeks of centre closure at the end of the academic year (Last 2 weeks of December) + 10 days of Annual Leave.
• Professional Development: Access ongoing training and career advancement opportunities through our Management Associate Programme.
• Work-Life Balance: Join a supportive team with a balanced work environment.

Ready to Make a Lasting Impact?

If you're eager to inspire a love for learning in young minds and want to be part of a progressive, data-driven team, we’d love to hear from you!

Submit your application here or through MyCareersFuture to kickstart a fulfilling career journey with us.

EA Registration No.: R23111820 (Ben Chang)
EA Licence No.: 22C1307 (First Konnection Pte. Ltd.)

Find Your Dream Job with Us

WE ARE HIRING!! Apply now and make a difference.

Role: Data Engineer (Cloud Engineer)

Job Requisition Number: JR43920

Job Level: More than 10 years of relevant experience (L4)

Location: Singapore

Job Objectives

You will be responsible for the end-to-end software development and support for all work related to projects, quarterly change requests, L3 production fixes. This includes software product implementation and administration, application design, development, implementation, testing and support. You will be expected to work on Kubernetes based platforms.

You will also be responsible for quality assurance of the team’s delivery in conformance with the Bank-defined software delivery methodology and tools. You will partner with other technology functions to help deliver the required technology solutions.

Key Responsibilities

- Create frameworks, technical features which helps in faster implementation of OpenShift Kubernetesbased applications

- Carry out POCs involving new data technologies, new container platforms, sidecars, daemonsets

- Design and develop application frameworks for container integration

- Create technical documents such as solution design, program specifications for target solutions

- Perform design and development of applications which may not be limited to: Software Applications, Data Integration, User Interfaces, Automation

- Maintain and recommend software improvements to ensure platform centric management of software applications

- Performance tuning

- Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing

- Perform tasks as part of a cross functional development team using agile or other methodologies and utilizing project management software

- Independently install, customize and integrate software packages, programs, product releases

Key Requirements:

Technical skillsets

Cloud Engineer

- Platforms provided by IBM Cloud Pak for Data (CP4D)

- Kubernetes based platforms such as OpenShift, AWS, Azure, GCP

- Software defined storage (ODF)

- IBM Storage Fusion

- S3 compatible storage options (Dell ECS, HCP)

- Node js, React, Java, RabbitMQ, Akka framework, Apache Consul, Apache Geode, Redis

- Scala, Java, Python

- Helm Package manager, Kustomize

- Jenkins, Jfrog, Gradle, Bitbucket, Groovy

- Shell scripting, Docker

- Splunk, Prometheus, Geneous

At least, 2 to 3 technical certifications in any of the technologies below:

1. OpenShift

2. Kubernetes, Docker

3. Language – SQL, Java, Python, Scala

4. Automation / scripting – CtrlM, Shell Scripting, Groovy

Additional Experience required for all teams to create an added advantage:

1. CI/CD software, Testing Tools - Jenkins, SonarQube

2. Version Control Tool - Aldon+LMe, CA Endeavor

3. Deployment Tool kit -Jenkins

4. Service or Incident Management (IcM) Tools - Remedy

5. Source Code Repository Tool - Bitbucket

6. Scheduling Tool - Control-M

7. Defect Management Tool - JIRA

8. Application Testing tool – QuerySurge

9. Cloud certification

EDUCATION

- Bachelor’s degree/University degree in Computer Science, Engineering, or equivalent experience

Please forward your resume in MS word format to [email protected] and

[email protected]

Please refer your friends for any IT openings as we have various positions.

Please do not send PDF Format Resume . Send the following details

1. Notice period

2. Current Salary

3. Expected Salary

4. Visa Status in Singapore

5. Current Location

Key Responsibilities

• Design and implement data management solutions, data models, and database architectures
• Develop and maintain a comprehensive data strategy aligned with business goals
• Collaborate with stakeholders to understand data requirements and translate them into technical specifications
• Architect and implement robust application analytics frameworks to track user behavior, performance metrics, and business KPIs
• Establish and enforce standards for scalable data pipelines, ensuring consistency, efficiency, and best practices in collecting, processing, and analyzing large volumes of application data
• Evaluate and adopt technologies and tools to enhance data architecture and performance
• Establish and enforce data governance policies, ensuring compliance with industry regulations and best practices
• Mentor data analysts and data engineers, fostering a culture of excellence and continuous improvement
• Monitor and optimize data performance, scalability, and reliability
• Stay current with emerging technologies and industry trends in data architecture

Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• 8+ years of experience in data architecture, with at least 3 years in a lead role
• Strong knowledge of data modeling, ETL processes, and database design (relational and non-relational)
• Knowledge of data streaming technologies (e.g., Kafka, Flink)
• Expertise in big data technologies (e.g., Hadoop, Spark, Hive)
• Experience with cloud platforms (GCP & AWS) and their data services
• Familiarity with data visualization tools (preferably Power BI)
• Understanding of data privacy regulations (e.g., GDPR)
• Strong problem-solving abilities with a focus on attention to detail
• Strong communication and leadership abilities
• Relevant certifications such as AWS Certified Data Analytics, Google Professional Data Engineer, or equivalent are a plus

As a Data Architect Lead, you will be working alongside Data Engineers, stakeholders such as product managers, team leads, and senior management to empower the client technical data platform department of our client with actionable data and platform capabilities.

You will be integral in the design and implementation of reliable, performant and scale-able data platform and engineering solutions. In addition, you will lead a team that looks after the daily data platform operations and its efficiency.

What You’ll Need To Succeed

• At least 7 years of experience in Data Platform Architect or Data Engineering Lead related roles
• At least 5 years of experience in Microstrategy operations (Infrastructure / Business) - requiements gathering to customer reporting sessions
• Strong education background with degrees in Computer Science, Engineering or Information Systems (preferred)
• Solid knowledge of visualization tools such as Tableau, Power BI or other platforms
• Srong working and architecture knowledge of ETL and related tooling; Informatica, penthao and natively with AWS
• Working proficiency in SQL and familiarity with at least one of the programming language (e.g., Python, Scala)
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
• Strong working knowledge of AWS specific Data Engineering and Data Science solutions (Redshift, Glue, SageMaker)
• A self-motivated, driven, flexible, quick learning, high achieving, “can do” mentality
• An ability to work well independently and as part of a team"

First Konnection, the authorized education recruitment partner for this role, is collaborating with a cutting-edge education centre that leverages technology and data analytics to transform how Math is taught and learned.

The centre's unique curriculum, crafted by experienced educators and enhanced with real-time learning insights, aims to empower students to achieve their fullest potential.

We are seeking enthusiastic Math educators who are passionate about using data to personalize learning experiences and foster a deep understanding of mathematical concepts in primary school students.

If you’re excited about utilizing innovative teaching methods and want to be part of a dynamic and forward-thinking team, we encourage you to apply.

Why Join Us?

• Pioneering Educational Environment: Be part of a centre that’s redefining Math education through a data-driven approach.
• Professional Growth: Benefit from continuous training and the opportunity to progress into leadership roles through our Management Associate Programme.
• Supportive Culture: Work in a collaborative and growth-focused environment that values professional development.

Location:
Parkway Parade, Marine Parade

Your Role:

• Teach 10 to 12 classes weekly (2 hours per class) and inspire a love for Math in primary school students.
• Utilize our proprietary analytics platform to track student progress and provide individualized feedback to optimize learning outcomes.
• Share detailed progress reports with parents, offering actionable insights to support students’ academic development.
• Collaborate with fellow educators to refine the curriculum and contribute fresh ideas to enhance teaching standards.
• Participate in regular meetings and training sessions to stay updated on best practices.
• Maintain a safe and engaging classroom environment that supports the holistic development of every student.

Qualifications & Requirements:

• Bachelor’s Degree in Mathematics, Education, or a related field. (Local university graduates preferred).
• Strong familiarity with the local MOE curriculum.
• High level of enthusiasm, adaptability, and a commitment to nurturing young minds.
• Excellent communication skills and the ability to build positive relationships with students and parents.

Benefits:

• Annual Leave: 2 weeks of centre closure at the end of the academic year (Last 2 weeks of December) + 10 days of Annual Leave.
• Professional Development: Access ongoing training and career advancement opportunities through our Management Associate Programme.
• Work-Life Balance: Join a supportive team with a balanced work environment.

Ready to Make a Lasting Impact?

If you're eager to inspire a love for learning in young minds and want to be part of a progressive, data-driven team, we’d love to hear from you!

Submit your application here or through MyCareersFuture to kickstart a fulfilling career journey with us.

EA Registration No.: R23111820 (Ben Chang)
EA Licence No.: 22C1307 (First Konnection Pte. Ltd.)

Job Title: Data Engineer
Location: Singapore/Changi Business Park

Job Description:
We are seeking a skilled Data Engineer with expertise in Python, PySpark, and SQL to join our dynamic team. The ideal candidate will have a strong programming background and experience in the financial industry. Proficiency in SAS programming and the ability to speak Chinese are considered a plus.
Key Responsibilities:
• Programming and ETL:
o Develop and maintain Python, PySpark, and SQL codes to support various tasks and activities.
o Perform code reviews and discovery.
o Conduct ETL processes to create data pipelines.
o Perform data quality checks and prepare data marts for business applications such as Tableau Control Tower and Campaigns.
• Data Reconciliation:
o Conduct sophisticated data reconciliation to identify data issues.
o Support investigation processes to resolve data discrepancies.
• Data Visualization:
o Develop visualizations for business problem-solving and control tower purposes using Tableau.
Qualifications:
• Strong logical thinking and programming skills.
• Excellent communication skills.
• Experience in the financial industry is a plus.
• Proficiency in SAS programming is a plus

Looking for experience levels of
4-6 yrs and 6-9 yrs.

Job Title: Data Engineer
Location: Singapore/Changi Business Park

Job Description:
We are seeking a skilled Data Engineer with expertise in Python, PySpark, and SQL to join our dynamic team. The ideal candidate will have a strong programming background and experience in the financial industry. Proficiency in SAS programming and the ability to speak Chinese are considered a plus.
Key Responsibilities:
• Programming and ETL:
o Develop and maintain Python, PySpark, and SQL codes to support various tasks and activities.
o Perform code reviews and discovery.
o Conduct ETL processes to create data pipelines.
o Perform data quality checks and prepare data marts for business applications such as Tableau Control Tower and Campaigns.
• Data Reconciliation:
o Conduct sophisticated data reconciliation to identify data issues.
o Support investigation processes to resolve data discrepancies.
• Data Visualization:
o Develop visualizations for business problem-solving and control tower purposes using Tableau.
Qualifications:
• Strong logical thinking and programming skills.
• Excellent communication skills.
• Experience in the financial industry is a plus.
• Proficiency in SAS programming is a plus

Looking for experience levels of
4-6 yrs and 6-9 yrs.

First Konnection, the authorized education recruitment partner for this role, is collaborating with a cutting-edge education centre that leverages technology and data analytics to transform how Math is taught and learned.

The centre's unique curriculum, crafted by experienced educators and enhanced with real-time learning insights, aims to empower students to achieve their fullest potential.

We are seeking enthusiastic Math educators who are passionate about using data to personalize learning experiences and foster a deep understanding of mathematical concepts in primary school students.

If you’re excited about utilizing innovative teaching methods and want to be part of a dynamic and forward-thinking team, we encourage you to apply.

Why Join Us?

• Pioneering Educational Environment: Be part of a centre that’s redefining Math education through a data-driven approach.
• Professional Growth: Benefit from continuous training and the opportunity to progress into leadership roles through our Management Associate Programme.
• Supportive Culture: Work in a collaborative and growth-focused environment that values professional development.

Location:
Parkway Parade, Marine Parade

Your Role:

• Teach 10 to 12 classes weekly (2 hours per class) and inspire a love for Math in primary school students.
• Utilize our proprietary analytics platform to track student progress and provide individualized feedback to optimize learning outcomes.
• Share detailed progress reports with parents, offering actionable insights to support students’ academic development.
• Collaborate with fellow educators to refine the curriculum and contribute fresh ideas to enhance teaching standards.
• Participate in regular meetings and training sessions to stay updated on best practices.
• Maintain a safe and engaging classroom environment that supports the holistic development of every student.

Qualifications & Requirements:

• Bachelor’s Degree in Mathematics, Education, or a related field. (Local university graduates preferred).
• Strong familiarity with the local MOE curriculum.
• High level of enthusiasm, adaptability, and a commitment to nurturing young minds.
• Excellent communication skills and the ability to build positive relationships with students and parents.

Benefits:

• Annual Leave: 2 weeks of centre closure at the end of the academic year (Last 2 weeks of December) + 10 days of Annual Leave.
• Professional Development: Access ongoing training and career advancement opportunities through our Management Associate Programme.
• Work-Life Balance: Join a supportive team with a balanced work environment.

Ready to Make a Lasting Impact?

If you're eager to inspire a love for learning in young minds and want to be part of a progressive, data-driven team, we’d love to hear from you!

Submit your application here or through MyCareersFuture to kickstart a fulfilling career journey with us.

EA Registration No.: R23111820 (Ben Chang)
EA Licence No.: 22C1307 (First Konnection Pte. Ltd.)

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 FinAccel to the next level.

About you:

• Minimum 6-7 years of relevant work experience.
• Masters, PhD or equivalent experience in a quantitative field (i.e). Computer Science, Mathematics, Statistics, Econometrics, Engineering, Artificial Intelligence).
• Capable of building robust end-to-end predictive models using the latest Machine Learning techniques and methodologies.
• Proficiency in Python or R.
• Exposure to RDBMS (i.e. MySQL, PostgreSQL) and No-SQL platforms (i.e. S3).
• Excellent English communication skills

Good to have:

• Experience with alternate data to evaluate credit risk, deep risk domain expertise, building credit risk modelling (4-5years).
• Experience in building end-to-end Deep Learning and/or NLP models.
• Experience working in financial institutions/services

First Konnection, the authorized education recruitment partner for this role, is collaborating with a cutting-edge education centre that leverages technology and data analytics to transform how Math is taught and learned.

The centre's unique curriculum, crafted by experienced educators and enhanced with real-time learning insights, aims to empower students to achieve their fullest potential.

We are seeking enthusiastic Math educators who are passionate about using data to personalize learning experiences and foster a deep understanding of mathematical concepts in primary school students.

If you’re excited about utilizing innovative teaching methods and want to be part of a dynamic and forward-thinking team, we encourage you to apply.

Why Join Us?

• Pioneering Educational Environment: Be part of a centre that’s redefining Math education through a data-driven approach.
• Professional Growth: Benefit from continuous training and the opportunity to progress into leadership roles through our Management Associate Programme.
• Supportive Culture: Work in a collaborative and growth-focused environment that values professional development.

Location:
Parkway Parade, Marine Parade

Your Role:

• Teach 10 to 12 classes weekly (2 hours per class) and inspire a love for Math in primary school students.
• Utilize our proprietary analytics platform to track student progress and provide individualized feedback to optimize learning outcomes.
• Share detailed progress reports with parents, offering actionable insights to support students’ academic development.
• Collaborate with fellow educators to refine the curriculum and contribute fresh ideas to enhance teaching standards.
• Participate in regular meetings and training sessions to stay updated on best practices.
• Maintain a safe and engaging classroom environment that supports the holistic development of every student.

Qualifications & Requirements:

• Bachelor’s Degree in Mathematics, Education, or a related field. (Local university graduates preferred).
• Strong familiarity with the local MOE curriculum.
• High level of enthusiasm, adaptability, and a commitment to nurturing young minds.
• Excellent communication skills and the ability to build positive relationships with students and parents.

Benefits:

• Annual Leave: 2 weeks of centre closure at the end of the academic year (Last 2 weeks of December) + 10 days of Annual Leave.
• Professional Development: Access ongoing training and career advancement opportunities through our Management Associate Programme.
• Work-Life Balance: Join a supportive team with a balanced work environment.

Ready to Make a Lasting Impact?

If you're eager to inspire a love for learning in young minds and want to be part of a progressive, data-driven team, we’d love to hear from you!

Submit your application here or through MyCareersFuture to kickstart a fulfilling career journey with us.

EA Registration No.: R23111820 (Ben Chang)
EA Licence No.: 22C1307 (First Konnection Pte. Ltd.)

If you're equally passionate about nurturing talent and building cutting-edge data platforms, you could be the Data Engineering Manager that we’re looking for! Our organization is committed to fostering a world-class, data-driven culture, and a key component of this endeavor is a high-performance platform that empowers our embedded analysts and fuels our engineered systems with timely and accurate data.

As the Data Engineering Manager, you will not only oversee and guide a team of data engineers, but also actively contribute by working on our cloud-native data platform. Your responsibilities will involve processing vast volumes of data to support both machine-driven and human-driven decision-making processes.

What you’ll be doing (Role responsibilities)

Our data platform acts as a central nexus to connect various data producers with consumers across the company. Our customers are:

• Engineering teams across the company that produce or consume data that need to be combined with other data sources, and
• Data analysts and scientists working on stream-aligned projects across the company

As a Data Engineering Manager, you will:

• Be a people-manager for a team of data engineers and analytics engineers, including
  • Coaching your team members in executing their tasks
  • Clearing technical and organizational blockers for them, and
  • Mentoring them on their own career goals and skill development
• Contribute to the hiring process and onboarding of your new team members to ensure they can hit the ground running.

As a senior team member in the Data Engineering Team, you will:

• Architect, build, and maintain a data platform that enables engineers and analysts across the company to ingest, anonymize, and enrich data
• Use your analytics engineering skills to deliver quality, timely, and fit-for-purpose analytical datasets that power downstream applications and decision making
• Liaise with our internal customers to understand their needs and convert them to technical requirements
• Leverage your high-level overview to proactively mitigate risks and expediently resolve blockers
• Provide tools, training, and coordination to stakeholders across the organization

Role requirements

We seek candidates with most, or at least some, of the following skills and experience:

• 5+ years’ experience in data engineering / analytics engineering, with at least 2 years of experience leading and managing a team of at least two people. This includes conducting performance reviews, conducting regular 1:1 meetings, providing mentorship, and creating career development plans.
• Strong experience in analytics engineering, including designing, implementing, and maintaining data models for large-scale data warehouses.
• Strong experience with SQL, Python, and hand-on experience with business intelligence tools such as Tableau or Power BI.
• Proven track record designing and constructing robust and testable data pipelines. Hands-on experience building and operating data applications within cloud environments, particularly AWS.
• Strong knowledge and adherence to software engineering best practices, including version control systems and continuous integration/continuous deployment (CI/CD) pipelines.
• Excellent written and verbal communication skills in English, with the ability to effectively convey complex technical concepts to both technical and non-technical stakeholders.

Some nice-to-haves are:

• Experience with tools like Apache Airflow and dbt for managing and orchestrating data workflows efficiently.
• Experience in infrastructure-as-code tools like Terraform.
• Understanding of data privacy and security and how they are implemented in engineering systems.

Are you a Senior Data Analyst with a proven track record of delivering clear business impact through data? We’ve been looking for you!

The data team at Kape is building a world-class, data-driven culture to empower our employees with timely, accurate information to drive their decision making.

In this role you will make a huge impact, influencing business decisions relating to millions of customers every day. You’ll work with great people on projects across the company, and play a pivotal role in supporting strategic business initiatives through data analysis, experimentation and development of metrics and dashboards.

What you’ll be doing

As a Senior Data Analyst, you will:

• Act as a strategic partner working in cross functional teams to grow the extent of data-driven planning and decision making in specific areas, specialising in Retention and Marketing analytics.
• Lead complex projects to turn data into insights, predictions, and actionable recommendations, delivering clear business value to your cross functional teams in their business challenges.
• Deliver impactful insights and recommendations using compelling visualizations in user-friendly dashboard designs.
• Help to design and analyze A/B experiments to improve retention outcomes.
• Work in partnership with Data Engineers and Analytics Engineers to define requirements for foundational datasets that can support downstream analytics and reporting.
• Drive optimization and efficiency in all you do and challenge the status quo for the team’s processes'.
• Contribute to the planning & execution of Retention Pillar analytics growth within the organisation - as a group of people, as a partner within cross functional teams and as an enabler to support others to self-serve their data and insight needs.

Who we’re looking for

If this sounds like you, please get in touch!

• Are passionate about data and using it to influence business decisions.
• Have 5+ years of experience in a Senior Data Analyst / Business Intelligence Analyst role.
• Adept at integrating with the business to truly understand their business challenges, defining how data can help and integrating it at the earliest opportunity to increase data driven decision making.
• Have strong business acumen and a business-first approach to problems.
• Have a track record of delivering clear business value from data through fit for purpose and actionable insights.
• Are an excellent communicator and use storytelling to bring insights to life and make connections on the business level.
• Have outstanding analytical skills - from unearthing valuable insights through querying data to creating compelling visualisations for ease of understanding.
• Are organized and able to lead complex projects with multiple user stories and dependencies.
• Have extensive experience in designing, executing and evaluating A/B experiments - able to provide recommendations on next steps through iterations of the tests.
• Strong problem-solving skills and ability to think out of the box.
• Strong stakeholder and management skills
• Thrive on uncovering synergies and efficiencies in your work, the work of the team, and beyond.
• Seek a fast-paced environment where you will make an instant impact.
• Want to work alongside other intelligent and passionate people
• You are fluent in English.
• High proficiency in SQL and/or other querying languages.
• Hands on experience in PowerBI

Nice to have, but not required

• Data science experience (e.g.predictive analytics, machine learning).
• Training / mentoring experience relating to data: Can be with team members or across business units and their data use.
• You are comfortable talking technology and communicating with developers on technical topics.

What we can offer you

• Challenging work in a fun and collaborative environment
• Attractive compensation and time-off benefits
• Spacious open-concept and centrally located offices
• Financially successful and profitable company
• Full-time employment with flexible working hours
• Fully stocked pantry with healthy foods and fresh fruit
• Team lunches and company events every quarter
• Multicultural teams represented by 30+ nationalities

WHO WE ARE:

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)
• We are robust and resilient (100% independent and 0 debt)
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
• We are positive, courageous, caring, doers and committed to excellence

YOUR ROLE:

The Senior Data Engineer will work on acquiring, storing, governing and processing huge sets of structured / unstructured data. You will bring a vision of the big data solutions landscape for choosing optimal architecture components to use for these purposes as well as a set of data engineering skills for implementing enterprise data foundations such as data lake. Finally, you will work closely with other PALO IT experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams to enable intelligence in the digital mesh of our clients and deliver big impact to them.

YOUR RESPONSIBILITIES:

• Design, implement, and maintain robust and scalable data pipelines to ingest, transform, and process structured and unstructured data from various sources.
• Build and manage data warehouses and data lakes, implementing efficient data storage and retrieval mechanisms. Design data models that support business requirements and analytics use cases.
• Leverage cloud platforms (e.g., AWS, Azure, GCP) to design and deploy scalable data infrastructure, optimizing for performance, cost-effectiveness, and reliability.
• Implement data quality checks, validation processes, and data governance frameworks to ensure data accuracy, integrity, and compliance with security standards.
• Continuously monitor and optimize data pipelines and infrastructure to improve processing speed, reduce latency, and enhance overall system performance.
• Work collaboratively with data scientists, analysts, and other stakeholders to understand their data needs, provide technical expertise, and deliver solutions that meet business objectives.
• Support business users by implementing data presentation layer including data visualisation using tools like Tableau, PowerBI etc.
• Stay up-to-date with emerging technologies and industry trends in the big data and data engineering space, evaluating and implementing innovative solutions to improve data processing capabilities.
• Support the definition and optimization of underlying data infrastructure

WHO YOU ARE:

• You hold a Bachelor's, Master's, or Ph.D. degree in IT, Information Management, and/or Computer Science with at least 6 years of experience.
• Good knowledge of the big data technology landscape and concepts related to distributed storage/computing
• Experience with big data frameworks (e.g. Hadoop, Spark) and distributions (Cloudera, Hortonworks, MapR)
• Experience with batch & ETL jobs to ingest and process data from multiple data sources
• Experience with NoSQL databases (e.g. Cassandra, MongoDB, Neo4J, ElasticSearch)
• Experience with querying tools (e.g Hive, Spark SQL, Impala)
• Experience or willingness to go in real-time stream processing, using solutions such as Kafka, AWS Kinesis, Flume, and/or Spark Streaming
• Experience or willingness to learn about DevOps and DataOps principles (e.g Infrastructure as Code, automating different parts of the data pipeline)
• High-level understanding of Data Science concepts and methodologies (how models are built, trained, and deployed)
• You are passionate about technology and continuous learning comes naturally to you

We will be prioritizing applicants who have a current right to work in Singapore, and do not require sponsorship of a visa.

MORE ABOUT PALO IT:

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company
• Attain 50% of revenue from projects with a positive impact
• Train 100% of our workforce on impact
• Achieve B Corp certification among all our offices across the globe
• Continuously measure & improve employee happiness

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

What We Offer

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training

For more on our team culture and benefits, check out our careers page.

PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Palo-IT.

Your personal data will be processed for the purposes of managing Palo-IT’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

About this role

Are you a people manager and data professional passionate about growing and empowering a team of analysts to enhance data-driven decision-making across the business, we’d like to meet you!

Kape is a leading SaaS and cybersecurity company. We’re building a world-class culture that leverages data to provide accurate and timely insights, empowering employees to make informed decisions to better serve our millions of customers around the globe.

In this role, you will have the opportunity to make an impact solving business problems and influencing decisions on products used by millions of customers every day. Through hiring, coaching, and mentoring you will develop a team of data analysts that can independently and confidently deliver clear business value through high quality advice, experimentation, analytics, and dashboards. This will be a hybrid manager-IC role.

What you’ll be doing (Role responsibilities)

As a Data Analytics Lead, your managerial responsibilities will include:

• Managing, hiring, leading, and growing a group of 2-3 data analysts
• Identifying skill and knowledge gaps within your team and filling them through a combination of training, coaching, mentoring, and shadowing
• Act as a strategic partner in the Revenue and Retention domain to grow the extent of data-driven decision making, prioritising data-analytics initiatives that deliver the most business value
• Creating standards and consistency in processes, guidance, tools, quality, and outputs—both within your sub-team and beyond—by collaborating with other data-analytics leads
• Partnering with Data Engineering to improve the data quality, consistency, reliability, and documentation of data pipelines, tools, and processes
• Maintaining a strong relationship with other Data Analytics domains, ensuring we identify synergies, avoid duplicated effort, and support each other as needed
• Contribute to the planning and execution of Revenue analytics growth within the organization—as a group of people, as a partner within cross functional teams, and as an enabler to support others to self-serve their data and analytics needs

As this role will be a hybrid manager-IC role, your IC responsibilities will include:

• Lead complex projects to turn data into insights, predictions, and actionable recommendations, delivering clear business value to your business stakeholders
• Deliver impactful insights and recommendations using compelling visualisations in user-friendly dashboard designs.
• Help to design and analyse A/B experiments based on key metrics defined with the business.
• Partner Data Engineers and Analytics Engineers to define requirements for foundational datasets that can support downstream analytics and reporting.
• Be the interface between marketing business teams and Data engineering & insights team
• Able to deep dive, understand data to grasp user journeys on our platform and provide recommendations to solve friction points

What you’ll need to succeed (Role requirements)

We seek candidates with most, or at least some, of the following skills and experience:

• Leading a team of at least two people overseeing performance reviews, 1:1s, mentoring, career plans, etc.
• Delivering business value: Combining your big-picture vision, solid business acumen, and clear prioritisation alongside sound analytical skills
• Relationships and influencing others: Able to make connections and build effective relationships at a strategic level with key stakeholders and data engineering partners within the data organisation
• Requirements gathering: You lead by example in truly understanding stakeholders’ strategy and challenges to collaborate and define the insights they need (vs want)
• Data analysis: You consistently deliver high quality analytics that build and tell a story, leading to actionable recommendations for the business
• A/B experimentation: You have extensive experience in designing, executing and evaluating A/B experiments - able to provide recommendations on next steps through iterations of the tests.
• Tools & platforms: You are strong in SQL and have worked with a range of analysis tools such as Tableau, PowerBI, Databricks, DBT with up to date knowledge of potential new ones to explore. Experience in integrating analytics databases to CRM systems like Braze
• Web analytics Tools & platforms: You have extensive experience in web analytics tools like Mixpanel, Google analytics 4, SimilarWeb, SensorTower, Apptweak and good understanding of Google ads ecosystem
• Defining processes and standards: For your team to drive consistency and quality
• Strong Stakeholder Management skills: You are able to drive prioritisation discussions across multiple stakeholders and be a thought partner to drive business decisions.
• Excellent communication skills: You are able to engage people across the company at all levels, including senior management.
• Building a culture of collaboration: Where your team supports each other to grow through mutual mentorship

3 best things about this role

1. Data driven culture: Lead a Data Analytics team at a company where everyone is hungry for data! You won’t need to knock on people’s doors persuading them to look at data, everyone is asking for it!
2. Empowerment and authority: Your objective is to help impact the priorities for your business domain. Beyond that, while we’ll have some guardrails in place, you’ll still have the autonomy to determine how you approach and solve problems.
3. Generating meaningful impact: Use your management and data skills to protect security, privacy and online freedoms. Do so at a massive scale for millions of active paying customers worldwide.

What we can offer you

• Challenging work in a fun and collaborative environment
• Attractive compensation and time-off benefits
• Spacious open-concept and centrally located offices
• Financially successful and profitable company
• Full-time employment with flexible working hours
• Fully stocked pantry with healthy foods and fresh fruit
• Team lunches and company events every quarter
• Multicultural teams represented by 30+ nationalities

• SAP Business Analysis: Understanding and interpreting SAP Transactions and relating them to business processes.
• Ability to understand technical details, integration, and functions of multiple applications/complex systems
• Review SAP data and suggest process optimisation.
• Articulate requirements to technical teams in a variety of ways, including via logical diagrams, use cases, data samples, and anecdotes
• Act as bridge between IT and business teams
• Oversee cleansing and validation efforts as part of SAP data migration
• Documentation: Create and maintain detailed documentation to support the business processes.
• Strong Communication and collaboration skills
• Expertise in SAP modules
• Financial Accounting (FI),
• Sales and Distribution (SD)
• Materials Management (MM)
• Knowledge of ABAP
• Experience in Unix / Linux / Mac environment
• Exposure to cloud environments / AWS

eCommerce / Retail / SAP

First Konnection, the authorized education recruitment partner for this role, is collaborating with a cutting-edge education centre that leverages technology and data analytics to transform how Math is taught and learned.

The centre's unique curriculum, crafted by experienced educators and enhanced with real-time learning insights, aims to empower students to achieve their fullest potential.

We are seeking enthusiastic Math educators who are passionate about using data to personalize learning experiences and foster a deep understanding of mathematical concepts in primary school students.

If you’re excited about utilizing innovative teaching methods and want to be part of a dynamic and forward-thinking team, we encourage you to apply.

Why Join Us?

• Pioneering Educational Environment: Be part of a centre that’s redefining Math education through a data-driven approach.
• Professional Growth: Benefit from continuous training and the opportunity to progress into leadership roles through our Management Associate Programme.
• Supportive Culture: Work in a collaborative and growth-focused environment that values professional development.

Location:
Parkway Parade, Marine Parade

Your Role:

• Teach 10 to 12 classes weekly (2 hours per class) and inspire a love for Math in primary school students.
• Utilize our proprietary analytics platform to track student progress and provide individualized feedback to optimize learning outcomes.
• Share detailed progress reports with parents, offering actionable insights to support students’ academic development.
• Collaborate with fellow educators to refine the curriculum and contribute fresh ideas to enhance teaching standards.
• Participate in regular meetings and training sessions to stay updated on best practices.
• Maintain a safe and engaging classroom environment that supports the holistic development of every student.

Qualifications & Requirements:

• Bachelor’s Degree in Mathematics, Education, or a related field. (Local university graduates preferred).
• Strong familiarity with the local MOE curriculum.
• High level of enthusiasm, adaptability, and a commitment to nurturing young minds.
• Excellent communication skills and the ability to build positive relationships with students and parents.

Benefits:

• Annual Leave: 2 weeks of centre closure at the end of the academic year (Last 2 weeks of December) + 10 days of Annual Leave.
• Professional Development: Access ongoing training and career advancement opportunities through our Management Associate Programme.
• Work-Life Balance: Join a supportive team with a balanced work environment.

Ready to Make a Lasting Impact?

If you're eager to inspire a love for learning in young minds and want to be part of a progressive, data-driven team, we’d love to hear from you!

Submit your application here or through MyCareersFuture to kickstart a fulfilling career journey with us.

EA Registration No.: R23111820 (Ben Chang)
EA Licence No.: 22C1307 (First Konnection Pte. Ltd.)

Key Responsibilities:

· Conduct comprehensive data analysis, ensuring accuracy and consistency.

· Manage data reconciliation and quality checks, including implementation, monitoring, and troubleshooting.

· Handle data issue management, ensuring timely resolution.

· Proficiently use Oracle PL/SQL for database management and reporting.

· Perform User Acceptance Testing (UAT) to validate system changes and upgrades.

· Manage Service Level Agreements (SLAs) and address queries from end users effectively.

· Provide comprehensive technical and functional documentation support.

· Leverage investment data domain knowledge to support business and operational needs.

· Collaborate with cross-functional teams to troubleshoot data and system issues.

Mandatory Requirements:

· Degree in Computer Science, Information Technology, or related fields.

· Strong expertise in Oracle PL/SQL.

· Experience in data reconciliation, issue management, and quality checks.

· Experience in UAT execution and management.

· Ability to manage SLAs and user queries.

· Strong problem-solving and logical thinking skills.

· Knowledge of investment data domain is essential.

Preferred Skillsets:

· Proficiency in Tableau for data visualization.

· Experience with Snowflake.

· Familiarity with Denodo for data virtualization.

Key Responsibilities:

· Conduct comprehensive data analysis, ensuring accuracy and consistency.

· Manage data reconciliation and quality checks, including implementation, monitoring, and troubleshooting.

· Handle data issue management, ensuring timely resolution.

· Proficiently use Oracle PL/SQL for database management and reporting.

· Perform User Acceptance Testing (UAT) to validate system changes and upgrades.

· Manage Service Level Agreements (SLAs) and address queries from end users effectively.

· Provide comprehensive technical and functional documentation support.

· Leverage investment data domain knowledge to support business and operational needs.

· Collaborate with cross-functional teams to troubleshoot data and system issues.

Mandatory Requirements:

· Degree in Computer Science, Information Technology, or related fields.

· Strong expertise in Oracle PL/SQL.

· Experience in data reconciliation, issue management, and quality checks.

· Experience in UAT execution and management.

· Ability to manage SLAs and user queries.

· Strong problem-solving and logical thinking skills.

· Knowledge of investment data domain is essential.

Preferred Skillsets:

· Proficiency in Tableau for data visualization.

· Experience with Snowflake.

· Familiarity with Denodo for data virtualization.

Job Description

We are seeking a skilled and motivated Intermediate Data Engineer to join our dynamic team. The successful candidate will play a crucial role in designing, developing, and maintaining our data infrastructure, ensuring efficient processing and analysis of large datasets. As an Intermediate Data Engineer, you will collaborate with cross-functional teams to implement data solutions that align with our business objectives.

Key Responsibilities:

Data Pipeline Development: Design, implement, and maintain scalable data pipelines for extracting, transforming, and loading large datasets.

Data Modelling: Develop and optimize data models to support analytical and reporting requirements, ensuring data accuracy and reliability.

Data Integration: Integrate diverse data sources and formats to enable seamless data flow across systems.

Data Quality Assurance:Implement and monitor data quality checks to ensure the integrity of data throughout the lifecycle.

Collaboration: Work closely with business analysts, colleagues, and stakeholders to understand data requirements and deliver effective solutions.

Performance Optimization: Identify and address performance bottlenecks in data processing and storage systems.

Documentation: Document data engineering processes, models, and configurations for knowledge sharing and future reference.

Adherence to Best Practices: Stay updated on industry trends and best practices in data engineering and promote their adoption within the team.

Requirements:

· Bachelor’s degree in computer science, Information Technology, or a related field.

· Minimum of 5 years of proven experience as a Data Engineer or in a similar role.

· Strong proficiency in programming languages like Spark SQL and Python, especially in a HIVE environment.

· Familiarity with cloud platforms (AWS), Big Data infrastructure, and tools such as Jira and Bitbucket.

· Experience with CI/CD pipelines and working in an Agile environment.

· Excellent problem-solving skills and attention to detail.

· Strong communication and collaboration skills.

· Knowledge of data warehousing concepts and technologies.

· Candidates with experience in the Banking Industry will have an added advantage.

· Ability to communicate effectively with multiple levels of management and summarize complex technical requests succinctly.

Role:Data Architect

JD:

Description:

 Primary Skills
 15+ Years Experience in Data Engagements, especially leading data strategy, roadmap and implementation
 Architecture: Enterprise Data Strategy & alignment to Business Strategy, Transformation Projects, various data and warehouse architecture models, Information flow, Integration/interfacing models/approach, Business Information Models, Logical Data Models, Canonical models, Data Life Cycle Management, Reporting (Analytical, Compliance, Regulatory, Models)
 Banking Experience and Corporate Credit Domain Knowledge is must
 Data Migration: Strategizing, planning, costing, execution, data retention/archival and disposal.
 Master Data Management: Strategy & Execution, Multi-domain. Tools: Informatica MDM, Stibo PIM, Talend Data fabric
 Data Governance: Data/Information governance capability Assessment (as-is, to-be), Framework design, models, roadmap & Execution
 Architecture Tools: PowerDesigner, ArchiMate, Toad, ERWin
 Design Methodologies: Normalized/De-normalized designs, ER-Models, Star schema models, relational models, Hierarchical models, Inmon and Kimball methodologies
 PostGres DB, Oracle, SQL Server, DB2, Teradata, Hive, Pig, Impala, MongoDB, Cassandra, HBase, Snowflake
 Additional Skills
 Programming & GUI: MS SQL, PL/SQL, NoSQL, Shell Scripting, VBA, T-SQL, DAX, MS SSRS, Oracle Forms (6i, 9i & 10g), Intellimatch, MS Access
 RDBMS: Oracle 9i/10g (SQL,PL/SQL), MS SQL Server 2008/ 2012/2014, Oracle 9i AS/10g
 Web/Cloud tools: Site Core, Amazon AWS, WordPress, Google Analytics/GTM reporting
 Management Tools: MS Project, MS Office (Access, Excel, Word, PPT), JIRA, rLean
 TOGAF for Architecture, DAMA – DMBoK.

As a Data Analyst (Risk), you will be involved in supporting the risk operations by conducting data analysis of risk cases to discover risk trends and behavior patterns from big data sets, thereafter being involved in designing long-term solutions to fight fraud. The insights you provide will be optimizing risk strategies to create business value and enable trust for our clients.

• Analysis of rich user and transaction data to uncover device, user, transaction, etc. trends that help alert SHIELD's risk systems and contribute to fraud prevention mechanisms
• Optimize fraud detection by rapidly identifying emerging fraud trends through data-driven analysis and developing strategic fraud rules to address them
• Perform data/statistical analysis to keep processes at the forefront of fraud detection by identifying areas of potential fraud risk and/or potential opportunities to improve current fraud mechanisms
• Develop and communicate insights and recommended actions to stakeholders to manage risk by contributing toward machine learning models, and risk management principles to help clients trust their users by staying ahead of new and unknown fraud
• Build and maintain dashboards for all stakeholders to provide visibility of key metrics, fraud patterns, and detection efficiency

• 3-5 years of experience as a hands-on analyst in a high-tech company
• Minimum Bachelor Degree in Computer Science, Data Sciences, Statistics, Math, or other related fields
• Strong experience in handling large-scale unstructured data
• Experience in SQL or other data handling tools, as well as the ability to learn more advanced data
• Business intelligence experience using tools such as Tableau, Qlik Sense, and Excel
• Working experience with any of the data analysis tools such as R, Python, SPSS, SAS, etc.
• Experience with the application of experimentation and statistical techniques (i.e. hypothesis testing, probability distributions, regression, decision trees, etc.)
• Ability to take initiative in a fast-moving and dynamic environment, and take timely actions to prevent risk of fraud