About Us
We are living in dynamic times. Technology is reshaping how we live, and we want to use it to redefine how financial services are offered. This is why we are coming together to unlock big dreams, and financial inclusion for people in our region is just one of them. We want to build a digital bank with the right foundation - using data, technology and trust to solve problems and serve customers.

We're seeking a driven and skilled Credit Risk Data Scientist to join our dynamic team. If you're passionate about predictive modelling, risk management, and leveraging cutting-edge technologies, this role offers an exciting opportunity to contribute in two key areas:

Credit Risk Models:

• Develop, maintain, and monitor predictive models for credit scoring, fraud detection, and suspicious activity prediction.
• Write high-quality, production-ready code for models to be deployed in the production environment.
• Deploy models in the MLOps production environment, maintaining and troubleshooting any issues.
• Support regular model performance reviews, audits, and recalibrations.
• Leverage alternative data sources to enhance underwriting and credit risk models.
• Ensure alignment with model governance, business, and regulatory expectations.

Data Analytics to Help Business:

• Collect, process, and analyze data to support statistical analysis and risk decision-making.
• Design, implement, and maintain performance reports and actionable insights dashboards.
• Provide data-driven insights and develop dashboards to support loan approval processes and business decision-making.
• Conduct in-depth analyses to identify trends, patterns, and anomalies in lending data that can influence credit risk strategies.
• Present model concepts and metrics to senior stakeholders and validators/auditors.

Experience and Qualifications

• Degree (PhD, Master's, Bachelor's) in Statistics, Mathematics, Economics, Finance, Risk Management, or related field.
• Proven experience building risk models such as Application Score, Behavior Score, PD, EAD, LGD (Basel or IFRS 9), especially for retail customers in diverse countries including Singapore.
• Comprehensive understanding of risk management throughout the customer journey within fintech or risk-focused environments.
• Domain expertise in retail credit products, banking, and regulatory frameworks (Basel, IFRS).
• Proficiency in Python, R, SQL, Snowflake and Data Visualization tools like Tableau.
• Technical proficiency in data retrieval, data modeling, data mining, and predictive modeling.
• Strong familiarity with advanced machine learning techniques, statistical classification/regression for credit risk.
• Exceptional problem-solving skills, detail-oriented mindset, and ability to thrive in a dynamic work setting.
• Bonus: Familiarity with implementing models using Terraform scripts, Docker/Kubernetes, CI/CD technologies, AWS, or MLOps.

Job Description:

A Databricks Engineer is responsible for leading the migration of on-premises data warehouses to Databricks, designing robust data architectures, and ensuring seamless data integration and governance. The role involves implementing cloud-based solutions, optimizing data workflows, and extracting insights while maintaining data security and compliance standards.

Key Responsibilities:

· Lead end-to-end data migration projects from on-premises environments to Databricks with minimal downtime.

· Design and implement solutions on Databricks within AWS environments, adhering to functional and non-functional requirements.

· Configure Databricks clusters, write PySpark code, and develop CI/CD pipelines for deployment.

· Apply optimization techniques like Z-ordering, auto-compaction, and vacuuming for enhanced performance.

· Process near real-time data using Auto Loader and DLT pipelines.

· Optimize AWS and Databricks resources for performance and cost efficiency.

· Stay updated with advancements in AWS, Databricks services, and data engineering practices to recommend improvements.

· Implement engineering methodologies, standards, and best practices.

Required Skills:

Experience:

· Minimum 5 years in data engineering, with expertise in Databricks, AWS/Azure services, or Informatica IDMC.

Technical Proficiency:

· Strong knowledge of Databricks, Python, PySpark, SQL, and NoSQL databases.

· Hands-on experience with Apache Spark, Hadoop, and cloud-based data architectures.

· Proficiency in building data pipelines using Python, Java, or Scala.

Data Management:

· Expertise in data modelling, schema design, and data governance.

Optimization Skills:

· Familiarity with techniques like Z-ordering and compaction.

Certifications:

· Databricks certifications and Informatica certifications (preferred).

Soft Skills:

· Excellent analytical, problem-solving, communication, and collaboration abilities.

Preferred Skills:

· Experience with containerization and orchestration tools like Docker and Kubernetes.

· Knowledge of data visualization tools like Tableau or Power BI.

· Familiarity with DevOps principles, CI/CD pipelines, and version control systems like Git.

· Understanding of data cataloguing tools and data governance, especially Informatica IDMC.

This role demands a proactive approach to implementing innovative solutions and optimizing workflows to ensure high-performance data engineering.

Role

a) Provide input to the development, maintenance and promulgation of the blueprints,
roadmaps and reference architectures for Data Analytics infrastructure and services.
(b) Perform analysis of new requirements and develop solutions and manage solution
delivery through acquisition or change control.
(c) Enhance our cloud capability by creating and implementing cloud application
patterns.
(d) Develop and implement ways to move apps and workloads to the cloud.
(e) Work closely with business leads and system owners to understand solution
requirements and identify architectural patterns.
(f) Write and develop cloud automation playbooks for managing and scaling containers,
hosts, cloud services, and applications.

Requirements
(a) Degree/master’s in computer science, Information Technology, Computer
Engineering or equivalent.
(b) Minimum eight (8) years’ experience in providing data warehouse or advanced
analytics solutions.
(c) Experience with
• databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Databricks)
• data repository design (e.g. operational data stores, dimensional data stores,
data marts, datalakes)
• data interrogation techniques (e.g. SQL, NoSQL).
• structured and unstructured data analytics.
• statistical computing programming language (e.g. R, Python).
• data quality tools and processes.
• data transformation and terminology equivalence mapping.

(d) Experience in data modelling for analytics (e.g. star schemas, snowflake schemas).
(e) Deep understanding of analytical models and methodologies – especially in the
context of health analytics for clinical use and clinical safety (e.g. data mining,
predictive analytics).
(f) Experience with data acquisition tools (e.g., ETL, real-time data capture, and change
data capture).
(g) Thorough understanding of ML, data analysis, data visualization, and event-driven
architecture.
(h) Exposure to the development, evolution and adherence to the architectures relevant
to the domain.
(i) Ability to work with a wide variety of report generation software (e.g. Power BI,
Tableau and OBIEE) and generate a wide variety of outputs (dashboards, scheduled
reports).
(j) The ability to work towards strict and conflicting deadlines, be able to plan and
prioritise in an environment with multiple stakeholders.
(k) Good interpersonal skills, a detail-oriented & flexible person who can work across
different areas within the team.
(l) Familiarity or experience with health informatics would be preferred.
(m) An understanding of healthcare data governance, data acquisition and data
management would be an advantage.
(n) Experience in interacting with analytics stakeholders (economists, statisticians,
clinicians, policy makers) on a business or domain level would be preferred.
1.1.3 Cloud Exposure (AWS):
(a) Strong knowledge and practical experience with AWS.
(b) Familiarity with modern cloud application architecture.
(c) Exposure to cloud managed services and microservices like Function as a Service,
Containers, and managed databases.
(d) Experience with setting up load balancers, cloud networks, and virtual servers.
(e) Infrastructure as code (IAC): Cloud formation, terraform.
(f) AWS identity and access management, integration with active directory.
(g) Familiarity with security and access control measures to control privileged access to test
and production environment.
(h) Certification in AWS Cloud Practitioner or AWS Architectation, terraform."

Responsibilities:

· Engage with clients to understand their business objectives, challenges, and requirements related to AI and Data solutions.

· Conduct discovery sessions to gather relevant information and identify opportunities where AI, LLM and Data Platforms can add value.

· Utilize knowledge of Data & AI capabilities to create compelling demonstrations tailored to client needs. Showcase how AI/LLMs can address specific use cases and deliver tangible business outcomes.

· Lead the execution of Proof of Concepts to validate the feasibility and effectiveness of solutions in addressing client requirements. Define success criteria, design POC workflows, and oversee the implementation process.

· Provide expert guidance and consultation to clients on technical aspects of Data Platforms, AI platforms, LLM technologies, fine-tuning methodologies, and model quantization techniques. Address client queries, offer insights, and recommend best practices of AI and Data Platforms

· Work closely with sales teams to support the development of winning proposals and presentations.

· Stay updated on industry trends, emerging technologies, and advancements in AI and Data domains. Share knowledge internally through training sessions, workshops, and documentation to empower sales teams and enhance organizational expertise.

· Cultivate strong relationships with clients, fostering trust and confidence in the capabilities of Data and AI platforms. Act as a trusted advisor, understanding their evolving needs and aligning solutions accordingly.

Responsibilities:

• Lead day-to-day demand generation and performance campaigns for B2B clients.
• Conceptualise, plan, and operate demand generation and lead generation campaigns through test and learn approaches.
• Develop marketing automation programs, including building email nurture logic, lead qualification/scoring processes through the marketing funnel.
• Manage email marketing programs and website CMS builds.
• Implement campaigns across social media platforms (Facebook, Twitter, Instagram, LinkedIn, etc.) and advertising (display, SEM, social advertising, etc.) from setup, optimisation to reporting.
• Contribute to building our performance offerings and capabilities across email, CRM, display, search, and social.
• Provide sound counsel to internal stakeholders and external clients.
• Execute solid project management and time management skills in managing multiple briefs.
• Manage content production delivery required for demand generation campaigns, including but not limited to thought-leadership articles, whitepapers, sales toolkits, customer case studies, and other high-value asset development.
• Stay abreast of inspiring, cutting-edge trends and developments in digital or client industries.
• Contribute to new business development processes and organic client growth.
• Proactively improve processes, operations, best practices, and address emerging issues.
• Design, monitor, and report on measurements and KPIs on client’s dashboard such as Google Data Studio.

Qualifications:

• Minimum 2 years of experience in social media, media, advertising, or B2B digital marketing-related fields.
• Possess data-driven qualities; detailed understanding of analytics across channels with the ability to synthesize data from many sources into actionable insights.
• Good understanding of Google Analytics; knowledge in Adobe Analytics, Adobe Experience Manager is a plus.
• Experience in Account-Based Marketing (ABM) or account-based marketing platforms such as Demandbase is a plus.
• Basic knowledge of SEM, SEO, CRM, and CMS.
• Strong interest in performance marketing.
• Integrated thinking and ability to connect digital channel ecosystems.
• Able to adapt to new conditions and a fast-paced environment.
• Self-motivated and self-starting personality.
• Enjoys diverse and multi-cultural working environment.
• Able to work both independently, as part of a team, and with senior leaders.
• Capable of managing multiple tasks concurrently in a deadline-driven process.

• Be part of a team to build and maintain data systems or pipelines.
• Perform setup, installation, configuration, troubleshooting and/or upgrade for COTS products.
• Develop or implement ways to improve data warehouses, data lakes or equivalent platforms.
• Involve in the creation of documentations e.g. design documents, troubleshooting guides etc.

Requirements

Education / Experience:

Diploma/Degree in Computer Engineering/Computer Science/Information Technology or related technical discipline

Preferably 1 - 4 years' of working experience in related fields.

Skill Sets:

Knowledge and/or experience in data management or data engineering

Experience with Linux commands and shell script

Knowledge and/or experience in relational (including SQL) or NoSQL database (e.g. document, graph)

Knowledge and/or experience in one or more of the following will be an advantage:

• Data / Search / Automation platforms such as Hadoop, Elasticsearch, Ansible respectively
• Data integration tools such as Talend, DataStage, Denodo
• Programming languages such as Python, Spark
• Microsoft Azure Cloud services such as Azure Data Factory, Azure Synapse Analytics
• Analytics platforms such as Databricks, Dataiku, Data Robot

Good problem-solving skills

Able to work independently and as a team

Location:

Macpherson

Working Hours:

12.30pm - 9.30pm (M-F), 12.30pm - 6pm (S)

Salary:

$1700

Job Scope for Lab Assistant:

• Follow all laboratory protocols and policies in checking specimens (e.g. blood, stool, urine, etc) received & make sure that names tally with the request forms for testing.

• Assist in the care and maintenance of lab work area, furnishings & equipment.

• Follow test requirements of reference laboratory & procure appropriate specimen for testing.

• Perform bar coding samples & processes laboratory specimens received from patients under prescribed laboratory guidelines.

• Utilize lab information system (LIS) to register patients, retrieve results & print reports.

• Maintains adequate level of supplies in the work area.

• Receives requested stock items & distributes them to the appropriate place within the laboratory

• Aliquoting of urine samples

Job Scope for Data Entry Assistant:

• Enter patient’s information & order laboratory tests into the Laboratory Information System (LIS).

• Recognize & correct inaccurate or missing information on the laboratory requisitions

• Communicate with clients, co-workers & management.

• Perform other duties, e.g. assists with specimens reception, as assigned.

Requirements:

Min. N or O level

No experience needed

WA me at https://wa.me/+6584998483 NOW!

Interested candidates, please submit your resume to [email protected]

JeAnn Leow

Outsourcing Team

Recruit Express Pte Ltd (EA Licence No.: 99C4599)

To process the following requests received from policyholders:

• Policy loan and surrender
• Change of address and contact
• Preparing documents for scanning into imaging system

Job assigned includes:

• Checking of completeness of documents submitted
• Checking of eligibility of application
• Typing of letters
• Any other ad hoc duties assigned by supervisors

Joy Yeow Zhi Qian

(CEI Registration No:R2096261)

Recruit Express Pte Ltd (EA Licence No: 99C4599)

Salary: Up to $3150

Duration: 6 months (extendible)

Location: Redhill

Working Hours: Monday - Friday Office Hours

Job Scope:

1. CAF-R certification

• Manage the CAF-R registry and tracking of CAF-R requirements

• Liaise with SSI on the updated list of CAF-R certified assessors, update CAF-R registry list, update AIC on the AHPC CAF-R certified assessors

• Broadcast to the SSAs and sped schools on the upcoming CAF-R training runs and mending the AD Service inbox on enquiries on CAF-R certification

2. Service matrix revamp and validation of info for IRR /EG

• Verify and confirm details in the list of adult disability services listed in IRR and Enabling Guide.

• Propose and design a new service matrix listing for Enabling Guide.

3. Admin support (GCTEF, ELP, DCMP, daily operations)

• Collate status and update status for pilot programmes on SSNet/ESMS

• Backend admin support for case coordination and Info and Referral

• Admin support for post sped applications (propose to get admin support for the administrative parts of applications)

4. Data management and cleansing for SSNet enhancements

• Assist with outreach efforts to SSAs for onboarding SSNet

• Aggregating and cleaning data from multiple data files and sources

• Data entry to ensure that adult disability services info or Conduct data cleansing and data patching for SSNet migration and transition

• Ensure referral applications remain updated

• Review data sets and provide inputs on insights derived from data

• Extension of current role- required due to the large bulk of legacy data that requires migration to the new system.

Requirement:

Minimum Diploma/Degree

• Ability to work with technologies and online systems

• Must possess knowledge and skill in MS Office

• Maintain confidentiality with certain information

• Organized, detail-oriented and able to prioritize multiple assignments

• Flexible with change and able to shift gears quickly

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

Maltem Singapore is currently seeking Data Engineers for our Wealth Management Client.

Summary:

The successful candidate will be involved in the creation of solutions for Data Services automation.

Skillset Requirements:

• Possess a degree in Computer Science/Information Technology or related fields.
• Proficient in Python
• SQL
• PL/SQL
• CICD.
• Familiarity with Data Warehouses such as Snowflake AND Oracle.
• Strong analytical and problem-solving skills.
• Good team player and communication skill.

Good-To-Have:

• Denodo

Responsibilities:

Design mould, tooling and test socket solutions based on customer specifications, semiconductor packages, and testing requirements.

Utilize CAD tools (such as CREO, AutoCAD, SolidWorks, or similar) to create detailed 3D models and technical drawings.

Ensure designs meet mechanical, thermal, and electrical performance requirements for high-precision semiconductor testing.

Select appropriate materials, tolerances, and manufacturing methods to ensure product durability, precision, and cost-effectiveness.

Able to carry out the R&D of new test socket whenever the market trend is needed.

Work closely with cross-functional teams, including Sales, Product Development, Process Engineering, and Manufacturing, to refine designs and ensure compatibility with testing equipment and processes.

Provide technical support to manufacturing teams during prototyping, production, and assembly to resolve any design-related issues.

Engage with customers and vendors to ensure all moulds, tooling and test socket solutions meet functional requirements and industry standards.

Oversee the prototyping phase, ensuring that initial designs are built and tested effectively.

Lead or participate in validation and testing efforts to ensure the tooling and test sockets perform under specified conditions (e.g., temperature, mechanical stress, electrical signals, thermodynamics).

Analyse test data and provide feedback for continuous improvement in design and materials.

Continuously seek to improve design efficiency and product performance, optimizing socket contact interfaces, reducing testing time, and improving signal integrity.

Innovate by introducing new design techniques, materials, or technologies that improve the quality, reliability, and cost of the test sockets and tooling solutions.

Stay up-to-date with the latest semiconductor technologies and testing methodologies to ensure cutting-edge designs.

Develop and maintain comprehensive documentation for all designs, including detailed engineering drawings, materials specifications, and manufacturing processes.

Create user manuals and technical documentation to guide customers and internal teams on the proper usage of tooling and test sockets.

Qualifications:

At least Bachelor’s degree in Mechanical Engineering, Electrical Engineering, or related field.

Proficiency in & Hands-on experience with CAD software for mechanical design and simulation (e.g., CREO, SolidWorks, or AutoCAD).

Knowledge of materials science, particularly in relation to thermal management, wear resistance, and conductivity

Excellent problem-solving skills, with the ability to identify and address complex technical challenges.

Strong attention to detail and precision in design and documentation.

Ability to work independently and as part of a cross-functional team.

Effective communication skills for both internal team coordination and customer interactions.

Willingness to travel occasionally for customer visits, manufacturing site inspections, or vendor meetings.

Job Summary:

We are seeking a skilled data scientist specializing in Marketing Analytics to join our Global Business Intelligence team. This role will leverage data-driven insights to optimize marketing strategies, enhance customer engagement, and drive business growth. This role will involve drawing insights from various data sources, implementing projects based on these insights, and collaborating with multiple stakeholders to craft effective go-to-market strategies.

Key Responsibilities:

• Analyze large datasets to identify trends, patterns, and insights that inform marketing strategies.
• Utilize strong analytical skills to interpret complex data sets and generate actionable insights.
• Monitor and evaluate the effectiveness of marketing campaigns, providing actionable recommendations for improvement.
• Partner closely with the marketing team to design statistically sound A/B and multivariate tests, including rigorous hypotheses, sampling, and metrics
• Implement/Incorporate AI/ML models to improve marketing performance and efficiency.
• Draw insights from dashboards and metrics to inform business decisions.
• Translate data findings into strategic recommendations for marketing initiatives.
• Ensure alignment and effective communication among all stakeholders.
• Proactively identify gaps in business metrics and user behavior trends.
• Set up necessary infrastructure to alert business leaders about emerging trends and patterns.

Qualifications:

• Bachelor’s degree in Marketing, Business, Data Science, or a related field;
• At least 3 years experience in marketing analyst or data scientist role, ideally within digital marketing, fintech, or crypto industries.
• Strong proficiency in SQL, Python, and BI tools, such as PowerBI, Tableau and etc.
• Familiarity with tools such as Google Analytics, SimilarWeb, AppsFlyer, App Annie, Data.ai and social listening tools.
• Excellent communication, bilingual in English and Mandarin to work effectively with cross-functional teams;
• Strong problem-solving skills and attention to detail.

Data Entry Administrator

1) Creation and maintenance of Parts, Supplier Details and all other relevant information for the Department

2) Maintaining records of invoices and payment details in the System

3) Assist in generating reports and extracting data as needed for different business needs

4) Assist in creating Purchase Orders and/or Purchase requests and maintaining a proper document control register for the Department

5) Maintain confidentiality and adhere to data protection policies while handling sensitive information

6) Collaborate with team members to ensure timely and accurate completion of data entry tasks

7) Maintain confidentiality and adhere to data protection policies while handling sensitive information

8) Providing administrative and clerical support which includes but not limited to scanning, filling, photocopying, faxing, answering phone calls

9) Ensure compliance to policies and procedures when performing day to day activities.

10) Undertake Ad-hoc tasks & duties assigned by the Office Manager

Requirements

- Diploma or equivalent

- Must be Proficient with MS Office

- Strong organizational and time management skills to prioritize tasks

- Strong attention to detail and ability to identify errors

- Proactive, takes initiative and well organised

- Quickbooks (QBO) and/or SAP knowledge is an advantage

- Able to work independently with the ability to multi task

ASTEK has been providing IT and Engineering solutions for some of the world’s largest industrial and services groups for more than 35 years with 7200 passionate experts in 22 countries throughout Europe, APAC, Middle East and the Americas

Currently, we are looking for Data Management Specialist which would be based in Singapore

Responsibilities and requirements

• Possess a degree in Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution with 1 to 3 years of relevant IT working experience
• Experience in managing data reconciliation/quality checks/dashboarding (implementation, monitoring and troubleshooting
• Ensure that the data issues are actively detected, tracked, and fixed without breaching SLA
• Hands on experience in Snowflake and Tableau
• Experience in performing User Acceptance Testing (UAT)
• Experience in in providing documentation support, e.g. in technical/functional specifications
• Able to work closely with business end-users, data vendors, data product team and data engineers to facilitate ingestion of new data and provide support existing data while adhering to our established data framework processes
• Able to provide clear requirements and collaborate with data engineers to enable robust and scalable design of data solutions for data ingestion and management across our diverse range of datasets

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Position: Senior Data Engineer

Duration: Permanent

Location: Beach Road

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 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

Requirements:

• 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 with Power BI
• 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)

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

Responsibilities:

• Collect, clean, and transform large datasets for analysis. This may involve working with programming languages such as, SQL, R/Python, JavaScript, etc. to create automated data processing flow. Codes should be clean and well-documented.
• Design, develop, and maintain dashboards and interactive visualisations for data exploration to help end-users make informed data-driven decisions. This includes using analytical tools such as Microsoft Excel, PowerBI, ZOHO and/or Tableau.
• Manage data quality assurance processes to ensure data accuracy and consistency.
• Develop and implement data governance policies and standard operating procedures (SOP) and conduct ad-hoc analysis to answer specific business questions and address challenges.
• Collaborate with stakeholders to define business requirements and translate them into analytical tasks and present analytical findings and recommendations to stakeholders.
• Stay up to date with emerging technologies and tools in the data analytics space and evaluate how they can be used to improve the company's analytics platform and services.

Requirements:

• Degree or Diploma in Computer Science with min 3 years of experience in related field
• Customer-first mentality with a high dose of empathy and passion for the Built Environment,familiarity with IoT (Internet-of-Things) devices and their data streams.
• Familiarity with version control systems (GIT and others), CI/CD practices, testing and migration tools for database and software and understanding of A1 Modelling.
• Experience working with APIs and SQL databases.
• Familar with tools such as PowerShell, Apache Spark, PySpark, etc.

• More than 3 to 5 years of experience in Databricks, Python.
• Need to have Python and Databricks skills.
• Working exp on AWS cloud is preferrable.

Next Step:

• Prepare your updated resume (please include your current salary package with full breakdown such as base, incentives, annual wage supplement, etc.) and expected package.
• Simply click on 'Apply here' to drop your resume or email at [email protected]
• All shortlisted candidates will be contacted.

Saghana Sithara | Registration Number: R1550224

Balyasny Asset Management (BAM) is a global, multi-strategy investment Firm with over $21 billion in assets under management. We are a diversified business, with global breadth and depth. Our Firm has a clear mission: To consistently deliver uncorrelated returns in all market environments. Today, BAM employs more than 160 portfolio managers and 1,200 investment professionals across 19 offices in the U.S., Europe, the Middle East, and Asia. We are active across six investing strategies: Equities Long/Short, Equities Arbitrage, Macro, Commodities, Systematic, and Growth Equity. We also have a dedicated private investment team, BAM Elevate, and a standalone equities unit, Corbets Capital.

As a Data Scientist on our Applied AI Team at BAM, you will:

• Work collaboratively with senior AI engineers and quantitative researchers to research and build AI systems
• Devise and develop AI solutions that leverage cloud-based data and distributed computing technologies
• Assist with managing the AI software development cycle including setting up and maintaining CI/CD pipelines
• Provide support for the system and be proactive in resolving issues in a timely manner
• Work as part of a globally distributed yet close-knit team. Be an active participant in feature brainstorming, technical design sessions, code reviews, and general interaction
• Create software that is well-commented, well-understood, well-tested, and well-documented: Quality above all!

To be considered a good cultural fit, you must be:

• An ambitious self-starter
• Driven, self-motivated, and creative
• Hungry to learn
• Driven towards success
• A very strong and efficient communicator
• Able to multi-task and excel in a fast-paced trading environment
• A problem solver; able to develop quick and sound solutions to complex problems
• Humble, self-aware, and willing to risk pushing back to make the team and others better

To be considered a good technical fit, you must have:

• Postgraduate degree in a quantitative discipline such as Computer Science, Data Science, Statistics or Mathematics
• 3+ years of professional experience developing high quality Data solutions and products as an individual contributor
• A passion for data and AI, and experience harnessing that passion to educate others
• Strong knowledge of AI engineering best practices, object-oriented concepts, and the ins and outs of data-focused development
• Expert in Python (including its data wrangling and machine learning libraries)
• Solid understanding and demonstrable experience applying natural language processing, large language models and machine learning to solve real business problems
• Familiarity with a wide variety of LLM architectures, including the GPT, Llama, Mixtral and Claude models
• Experience customizing LLMs for specific applications using fine-tuning techniques, (e.g. PEFT), RAG and prompt engineering is big plus
• Experience evaluating and benchmarking LLMs using frameworks such as Arthur Bench is big plus
• Experience with the entire AI software development cycle from design to deployment e.g. using frameworks such as LangChain is a big plus
• Experience with basic DevOps techniques, including CI/CD and infrastructure-as-code
• Experience working in at least one cloud environment. Familiarity with AWS is a big plus

Bonus points for:

• Research publications in leading journals and presentations at internationally renowned conferences
• Teaching experience and the development of training material for AI use-cases
• Experience developing models for named-entity recognition
• Financial industry experience, though this is not required for the role

Don’t have all the skills listed above? Have extra skills you think are important that we haven’t thought of? Please, let us know by applying and telling us a bit more about yourself and why you think you’re qualified!

KPMG in Singapore is part of a global organization of independent professional services firms providing Audit, Tax and Advisory services. We operate in 143 countries and territories with more than 273,000 partners and employees working in member firms around the world. Each KPMG firm is a legally distinct and separate entity and describes itself as such. KPMG International Limited is a private English company limited by guarantee. KPMG International Limited and its related entities do not provide services to clients.

Job Description

At KPMG, your long-term future is every bit as important to us as it is to you. That’s why our aim is to give you experiences that will stay with you for a lifetime. Whether it’s great training and development, working across functional sectors, mobility opportunities or corporate responsibility volunteering activities – you’ll gain a wealth of experiences on which to build a rewarding career. We’re proud of our culture – it’s one that recognises hard work, encourages new ways of thinking and embraces diversity and inclusion. We have an innovative spirit which inspires what we do and how we do it – striving to be better lies at the heart of who we are.

KPMG Cybersecurity professionals assist clients to address their concerns around Confidentiality, Integrity, Availability and Privacy of their technology, business systems, and information assets. Using a holistic view of how Technology and Business integrate, the Cyber team performs technology-risk focused assessments, technology compliance, IT/operational process reviews, and design of information risk & cyber security solutions.

Cyber team members regularly interact with C-Suite clients, such as Chief Executive Officer (CEO), Chief Information Security Officer (CISO), Chief Information Officer (CIO), Chief Operating Officer (COO), Chief Risk Officer (CRO) and their direct reports. Hence, a client centric mind-set, understanding of IT within a Business context, and well-developed communication skills are desirable.

The role involves:

• Engage with client stakeholders on Data protection Projects.
• Providing in-depth expertise of Data protection.
• Conducting discovery workshops for customers to understand their data protection measures and recommend improvements to their security posture.
• Work with customers to plot their cloud journey and advising them on their overall data protection requirements based on their data landscape.
• Working with KPMG Project and Customer resources to continue design and deployment activities and further enhance Data protection solutions for our customers.
• Working with customers and leading data protection vendors to design and build creative solutions.
• Working with team members, you will design and/or build solutions within large transformations, and you will perform reviews, assessments and build strategies for organizations looking to invest in Data protection.
• Assisting the engagement manager with the planning and delivery phases of engagements.

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The ideal candidate should possess:

• Bachelor’s degree in Computer Science, Computer/Electrical Engineering, Information Technology or equivalent.
• A highly motivated individual in information security and excellent communicator with strong analytical and good problem-solving skills.
• Minimum 5 years of relevant experience working on Data protection technologies: Forcepoint, Proofpoint, Varonis, Zscaler, MSFT Purview
• Good understanding of Security strategy, assessment, and design and implementation and governance frameworks over processes, controls, organisation and infrastructure.
• Proven technical knowledge in Data Governance, Data classification, Data loss prevention, Insider threat, Data encryption, CASB etc.
• Good understanding of cloud platforms like Microsoft Azure, Google and AWS.
• Proficient in PowerShell and Python
• Strong understanding and hands-on experience with Windows OS, including Active Directory and DNS.
• Understanding of creating and managing virtual machines, EC2 instances, VNETs, VPCs, and access control management.
• Experience in implementing and managing firewalls, VPNs, and intrusion detection/prevention systems.
• Ability to respond to security incidents, conduct root cause analysis, and implement corrective actions.
• Familiarity with industry standards and regulations such as GDPR, HIPAA, or ISO 27001, Personally Identifiable Information (PII) ensuring compliance in security practices.
• Excellent business analysis experience in requirements gathering, modelling use cases and experience in business development in supporting new business offerings.
• Any relevant industry related certification will be preferred (e.g. CISSP, AWS , AZURE , Data protection product certifications etc.)

Only shortlisted candidates will be contacted by KPMG Talent Acquisition team, personal data collected will be used for recruitment purposes only.

At KPMG in Singapore we are committed to creating a diverse and inclusive workplace. We believe that diversity of thought, background and experience strengthens relationships and delivers meaningful benefits to our people, our clients and communities. As an equal opportunity employer, all qualified applicants will receive consideration for employment regardless of age, race, gender identity or expression, colour, marital status, religion, sexual orientation, disability, or other non-merit factors. We celebrate the different talents that our people bring and support every staff member in their journey to achieve personal and professional growth. One of the ways we do this is through Take Charge: Flexi-work, our flexible working framework which enables agile and innovative teams to help deliver our business goals.

As a Data Scientist in Group Engineering, you'll have the opportunity to drive business growth and innovation through data-driven insights and solutions. You'll work closely with senior stakeholders to identify and prioritize business problems, develop and deploy AI and machine learning models, and drive adoption across the organization. With OCBC's commitment to digital transformation, you'll be at the forefront of shaping the bank's data science capabilities and contributing to the development of a future-ready organization.

How you succeed

To succeed in this role, you'll need to combine technical expertise with business acumen and strategic thinking. You'll work closely with cross-functional teams to understand business needs, identify opportunities for data-driven innovation, and develop solutions that drive tangible business outcomes. You'll need to be able to communicate complex technical concepts to non-technical stakeholders, influence business decisions, and drive adoption of data science solutions across the organization.

What you do

• Develop and deploy AI and machine learning models to drive business growth and innovation
• Collaborate with senior stakeholders to identify and prioritize business problems and develop data-driven solutions
• Lead cross-functional teams to design and implement data science solutions that drive tangible business outcomes
• Develop and maintain large-scale data pipelines and architectures to support data science solutions
• Communicate complex technical concepts to non-technical stakeholders and influence business decisions
• Drive adoption of data science solutions across the organization and measure impact on business outcomes

Who you work with

Group Engineering is a strategic partner to teams across the bank, co-creating products and solutions that drive business growth and innovation. As a Data Scientist in Group Engineering, you'll work closely with senior stakeholders across the organization, including business leaders, product managers, and technology teams.

Who you are

• A seasoned data scientist with 8+ years of experience in developing and deploying AI and machine learning models
• A strong technical background in computer science, statistics, or a related field
• Experience leading cross-functional teams and influencing business decisions
• Excellent communication and stakeholder management skills
• Ability to work in a fast-paced environment and drive multiple projects simultaneously
• Strong business acumen and strategic thinking

• Monitor and maintain critical data centre infrastructure, including power distribution systems (UPS, generators), HVAC systems, fire suppression systems, and access control systems.
• Perform preventive maintenance on data centre equipment and systems.
• Respond to alarms, troubleshoot issues, and ensure prompt resolution.
• Liaise with the building landlord to coordinate maintenance schedules, address building infrastructure issues, and ensure compliance with safety regulations.
• Support off-office hours activities, including responding to emergency alarms, performing on-call duties, and coordinating with vendors for emergency repairs.
• Ensure strict adherence to data centre physical security procedures.
• Follow documented incident response procedures, track incidents to closure, and communicate with stakeholders.
• Generate reports to management, including monthly performance reports, incident summaries, root cause analyses, and status reports on ongoing projects.

Qualifications:

• 3+ years of experience in data centre facility management.
• Experience working in a 24x7 mission-critical environment.
• Strong knowledge of electrical and mechanical systems in data centres.
• Experience with fire suppression systems and access control systems.
• Proficiency in troubleshooting and problem-solving.
• Excellent communication and interpersonal skills.
• Must have prior experience working in data centre operations in financial institutions.

Interested candidates kindly submit your updated CV in a Word Format to: [email protected]. Only shortlisted candidates will be notify. Thank you.

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Responsibilities: As a BI Engineer, you will be responsible for developing and maintaining the Microstrategy setup within the overall Data Platform. The engineer must be able to discuss requirements with the clients and support in setup and issue rectifications.

Top 3 skills (must have)
1. MicroStrategy Business Intelligence
2. ETL Pipelines
3. Data Modeling Techniques and Methodologies , strong MSTR knowledge

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction