Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities

• Set and advance sustainability targets, balancing financial and environmental goals.
• Implement effective reporting systems; collaborate on performance benchmarks.
• Lead sustainability communications; create educational materials.
• Formalize sustainability practices through documentation and reviews.
• Monitor and report on sustainability metrics; conduct audits.

Requirements

• Experience in a related field preferred.
• Knowledged of BCA Green Mark for Data Centre and Buildings, ISO 14001 Environment Management System, SS564 Green Data Centre etc

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants
Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Key Responsibilities

• Assist with the installation and support of data center physical infrastructure.
• Install, replace, and troubleshoot cables and hardware components.
• Handle data-bearing devices, including hard drives and SSDs.
• Operate within a ticket-based environment for task management.
• Use pallet jacks or other lifting tools to move equipment safely.
• Support the Data Center Inventory and Asset Management Team in managing inventory and shipping tasks during peak times.
• Flexibility to work during weekends or holidays when required.

Qualifications and Skills

• Diploma or Degree in IT, Computer Engineering, or a related field.
• At least one year of experience in IT Support or Monitoring (fresh graduates with a proactive mindset are encouraged to apply).
• Six months or more in handling technical equipment or machinery.
• Familiarity with computer hardware and components.
• Preferred certifications include CompTIA (A+, Server+, Network+) and Basic Structure Cabling (BSC).
• Physically capable of standing, walking, and lifting frequently, with or without equipment assistance.
• Strong communication skills in English, both written and spoken.
• Enthusiasm for learning and expanding technical skills.

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities

• Deploy, administer, and support database and data lake infrastructures.
• Formulate and execute plans for high availability, backup, recovery, and disaster preparedness.
• Diagnose and resolve database issues and optimize performance.
• Enforce industry-standard security measures, policies, and best practices.
• Enhance clients' data warehouses and data lakes, and maintain comprehensive documentation.

Requirements

• Proficiency in Database Administration.
• Experience with Linux operating systems and scripting.
• Practical experience with at least one of the following: Hadoop Distributions, Relational Databases, or NoSQL Databases.
• Advantageous knowledge in one or more of the following areas: Data Virtualization tools, Scripting languages, Cloud platforms, and Docker/Kubernetes environments.

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants
Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

About the Role:

Important note: Only Singapore Citizen candidates will be considered as this is a high security CAT-1 project.

We are seeking a skilled Data Analyst to support our Data Management Operations activities. The ideal candidate will have a strong background in data analysis, reconciliation, and quality checks, along with hands-on experience in Oracle PL/SQL. You will be responsible for ensuring data integrity, conducting UAT, managing user queries, and meeting data-related SLAs.

Key Responsibilities:

• Data Management Operations Support: Assist in the efficient operation of data management tasks, ensuring data processing, monitoring, and integrity are maintained across systems.
• Data Reconciliation & Quality Checks: Perform data reconciliation and quality checks to ensure the consistency, accuracy, and completeness of data. Troubleshoot and resolve discrepancies and data quality issues.
• Oracle PL/SQL Expertise: Use Oracle PL/SQL to query, manipulate, and manage data across systems, ensuring data consistency and integrity.
• UAT Support: Participate in User Acceptance Testing (UAT) for new or updated data systems, validating their functionality, data flow, and ensuring they meet all necessary requirements.
• SLA & Query Management: Oversee SLAs related to data operations, addressing end-user queries and requests promptly while ensuring timely resolution of any issues.
• Documentation Support: Assist in the creation and maintenance of technical and functional documentation, including system specifications, workflows, and data management protocols.
• Finance Domain Knowledge: Apply a strong understanding of finance domain processes to ensure data operations comply with business needs and regulatory standards.
• Troubleshooting & Problem Solving: Use logical and analytical skills to resolve data-related issues, identifying root causes and providing effective solutions.
• Collaboration: Collaborate with cross-functional teams (including IT, finance, and operations) to ensure smooth data management operations and enhance process efficiency.

Required Skills and Experience:

• CAT-1 clearance or eligibility is required for this role.
• Proven experience in supporting data management operations and performing data analysis, reconciliation, and quality checks within Investment firm.
• Hands-on experience with Oracle PL/SQL for querying, reporting, and data manipulation.
• Experience performing UAT, including testing and validating data systems.
• Strong ability to manage SLAs, handle user queries, and prioritize tasks.
• Experience providing documentation support, including creating and maintaining technical and functional specifications.
• Solid understanding of finance domain processes, regulations, and data requirements.
• Strong problem-solving and logical thinking abilities with attention to detail.
• Excellent communication skills, both written and verbal, to interact effectively with stakeholders and teams.

Advantageous Skills:

• Snowflake: Experience working with Snowflake for cloud-based data warehousing and analytics.
• Denodo: Familiarity with Denodo for data virtualization and integration across multiple data sources.

✨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

✨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

✨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

Roles & Responsibilities:
- Be a team player but shine on your own!
- Stay self-motivated and focused on results.
- No experience? No problem! Just bring your willingness to learn.

Perks:
- Represent cool clients and boost their brand!
- Plan and launch creative campaign activities.
- Dive into team-building and collaborate with awesome people

Join us and let’s create something amazing together!

Responsibilities:

• Source tender/quotation opportunities and manage submission for clients.
• Review tender documents/award letters and handle all the post-tender queries/correspondence.
• Manage the filing for all the tender/quotation documents.
• Maintain tender/quotation and extension of contract in tender tracking system.
• Provide updates to clients/customers.
• Perform accurate and prompt entry of fax orders, order hotline and other sources into the system.
• Handle all enquiries/complaints/feedback from customer/clients.
• Ensure compliance to ISO and ISMS procedures and processes.

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R22111375 Chua Jie Lin

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Recruitment Consultant who can help support us through the next phase of the growth and development roadmap.

Job Highlights:

• Junior/ Entry (No experience required - Training Provided)

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Attractive Incentives

Job Duties:

• An integral role as a recruiter in fulfilling clients' staffing needs.

• Handle full spectrum of recruitment and talent acquisition matters

• Conduct Interviews/phone screening and select potential candidates to meet clients' requirements.

• Coordinate interviews between candidates and clients

• Developing connections and new business and relationship management sources with existing accounts.

• Networking and building relationships with business partners and jobseekers

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

• Self-motivated, proactive personality, willing to work and achieve goals in a team.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only the shortlisted candidates will be notified.

Email Address: [email protected]

https://www.handsfreetravel.com/

Your responsibilities

• Identify and analyze existing products and strategies in order to create innovative business approaches and opportunities.
• Monitor industry trends, competitive landscape, and product design and development in the marketplace to help create innovative product ideas.
• Work with cross-functional teams such as engineering and marketing to transform creative ideas into functional, saleable products and services.
• Conceive new and improved features by working closely with customer-focused teams to understand customer needs and transform them into product initiatives.
• Develop product roadmaps and manage the whole product lifecycle: from inception and prioritizing new features to final delivery.
• Regularly conduct feasibility studies and market research on potential product releases.
• Track metrics post-launch, to ensure products are delivering against key performance indicators.
• Make strategic and data driven decisions to prioritize certain product features over others and adjust as necessary.
• Deep strategic analysis to answer core questions such as: How can we help advertisers see better performance? Why do SMB advertisers churn? Who should our target audience be?
• Opportunity sizing and analysis. Write clear, actionable analyses that help teams identify areas of improvement and investment.
• Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc.
• Creating and tracking success metrics. Identify the right measures of success for engineering teams and help them track those metrics. Break down high-level metrics into actionable segments. This work may span from collecting entirely new datasets to building dashboards to track components of a metric.

What you'll need to succeed

• Proven experience as a Product Manager (at least 5 years related working experience), with a track record of managing all aspects of a successful product throughout its lifecycle.
• Understanding in software development knowledge, can communicate well with customers and development
• Ability to analyze data and iteratively optimize products based on data
• Ability to create and deliver presentations tailored to the audience needs.
• Strong problem-solving skills, coupled with effective communication and adept decision-making capabilities.
• Good project management skills with the ability to balance multiple concurrent projects.
• Experience with driving the product vision, go-to-market strategy and design discussions.
• Bachelor's degree in a relevant field.
• 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
• Strong background in statistics, machine learning, and/or experimentation
• Domain knowledge in advertising and product development.

We are seeking a talented and a motivated Senior Data Engineer to join our dynamic team. As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. You will collaborate closely with cross-functional teams to understand data requirements, optimize data models, and ensure the reliability and performance of our data systems.

Key Responsibilities:

 Design, develop, and maintain robust data pipelines to ingest, process, and transform large volumes of structured and unstructured data from various sources (e.g., Database, API, SFTP).

 Build and optimize data models and schemas to support efficient data storage, retrieval, and analysis.

 Implement data integration solutions to consolidate data from disparate systems and sources.

 Work closely with Data Scientists and Analysts to understand their requirements and provide them with clean, reliable, and well-structured data.

 Collaborate with DevOps and Infrastructure teams to deploy and manage data infrastructure in cloud environments (e.g., AWS, Azure).

 Familiar with the concept of data security to ensure the data pipelines are secured and PII (Personally Identifiable Information) data are encrypted.

 Monitor and optimize the performance, scalability, and reliability of data systems to ensure high availability and low latency.

 Design and develop MLOps production pipelines; provide technical support to data scientists/ML engineers by getting their ML/DL models deployed at scale and meeting SLAs on both cloud and on-premises GPU and CPU instances.

 Develop and maintain documentation, standards, and best practices for data engineering processes and technologies.

 Stay current with emerging technologies and trends in data engineering and contribute to the continuous improvement of our data architecture and practices.

 Explore, evaluate, and champion the introduction of next-generation technologies in the data-ingestion workflow. Participate in project planning and provide technical guidance on cloud architecture for data projects.

Requirements:

 BS in Computer Science or other related discipline is required. Advanced degrees in Computer Science (PhD, MS) are highly desirable.

 Proven experience (3 years) working as a Data Engineer or in a similar role.

 Strong proficiency in programming languages such as Python. Conversant with data structures and algorithm design.

 Hands-on experience with distributed computing frameworks and big data technologies such as Spark, Kafka, etc.

 Proficiency in SQL and experience with relational databases (e.g., Azure SQL DB, AWS Redshift).

 Experience with data modelling, ETL/ELT processes, and data warehousing concepts.

 Familiarity with cloud platforms and services (e.g., AWS S3, AWS Step Functions, AWS Airflow, Azure Data Logic Apps, Azure Blob Storage).

 Experience with setting up SSO using AD and implementing RBAC (Role Based Access Control) for data security.

 Excellent problem-solving skills and attention to detail.

 Effective communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

 Experience with version control systems (e.g., Git) and CI/CD pipelines is a plus.

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.

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Key Responsibilities

• Accurately document all equipment deliveries and removals.
• Conduct routine audits to ensure inventory integrity and compliance.
• Use equipment such as pallet jacks to facilitate safe item movement.
• Work within a ticketing system to manage tasks and assignments effectively.
• Execute the secure destruction of data-storing devices, including hard drives and SSDs.
• Manage shipping, receiving, and inventory processes.
• Prioritize and resolve tickets, escalate issues, and handle blockers to sustain inventory operations in line with service agreements.
• Be prepared to work outside standard business hours, including weekends or holidays, as needed.

Qualifications and Skills

• Diploma or Degree in IT, Computer Engineering, or a related discipline.
• At least one year of experience in IT Support or Systems Monitoring (fresh graduates with a proactive attitude are encouraged to apply).
• Minimum six months of experience in Inventory Control, Logistics, or Warehouse Management.
• Capable of performing physical tasks, including lifting and working at heights, with or without equipment assistance.
• Excellent communication skills in English, both spoken and written.
• Motivation to grow and learn new technical skills.

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

The Role

Veeva’s OpenData team is expanding rapidly across Asia. The vision of OpenData is to help the life sciences industry better connect with the healthcare ecosystems to improve care. The Product provides comprehensive reference and profile information on key aspects of healthcare, together with the insights needed by the industry.

Directly reporting to the Manager, OpenData Research Center, APAC we are looking for a Data Steward Team Lead who will be responsible for the direct supervision of data stewardship team members for the data offering in Pakistan within the APAC region.

You will also be responsible and retain all the responsibilities of a Data Steward, such as updating the attributes of records to improve core data, calling Group Practices, and updating provider affiliation information.

If you have a passion for data and quality – this is a great opportunity for you! Your role will be based in the Veeva Office in Singapore.

What You'll Do

• Recruit, coach, motivate, appraise and retain team members
• Deliver all necessary training to Data Stewards and audit the data quality
• Monitor, improve, and give feedback on individual and team performance
• Design, document, and optimize processes to ensure best-in-class delivery of data quality
• Ensure the team meets and exceeds productivity and quality standards
• Run the daily operations in the Data Stewardship team

Requirements

• BA/MA or equivalent degree
• Hindi language is required for facilitating phone / web research validation to both build and maintain the product. (The data sources need to be either phone or web validated with the respective hospitals, clinics, or pharmacies to ensure the data is accurate)
• 1+ year of work experience with leadership component; recent graduates who have leadership quality are welcome to apply
• Ability to learn quickly and independently
• Problem-solving and efficient time management skills
• Proficiency in Windows, Google apps, MS Office, and other office software
• People and result-oriented
• Experience in staff scheduling
• Highly organized, attention to detail, and focus on quality
• Fluent in English

Duration: 1 year

Location: Caldecott

Working Hours: Monday - Thursday 830am to 6pm; Friday 830am to 530pm

Responsibilities:

• Support in administrative tasks such as maintaining and updating of data.
• To process simple data cleaning and analysis.
• Support the team in liaising with different agencies to coordinate meeting dates and to obtain the required updates.

Requirements:

• Singaporean
• IT degree and experience in Python.
• Detail-oriented.
• People-oriented.
• Able to process and structure large amounts of information.

To apply, simply click "APPLY" and submit your curriculum vitae (CV) through GO, the official PERSOLKELLY job application platform.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23114622 So Man Xin

About Us

Real Estate Analytics is fast growing Singaporean property technology startup with international ambition whose mission is to research, develop and implement the next generation real estate modelling and analytics tools for global markets.

Responsibilities:

- Extract, Transform, and Ingest real estate data into data warehouse

- Build robust program for data extraction with failure retry with various queries (restful API, GraphQL, selenium, etc.)

- Design and implement data extraction solution in a distributed system

- Build efficient data pipelines (using Airflow, DBT, AWS etc.)

- Build data models and applications to support products and solve specific business needs (using SQL, Python etc.)

- Perform data validation to assure integrity, accuracy and consistency, identify the root cause of data inconsistencies and process defects, and implement timely corrective actions

- Maintain data pipeline to ensure the smooth operation

- Collaborate with data analysts, data scientists, and product teams to improve data flows and applications performance

Requirements:

- Major in computer science, computer engineering, data analytics or other related technical field preferred

- At least 2 years of experience in data related fields

- Experience in handling large data sets and working with structured, unstructured and geographical datasets
- Strong experience in developing with Python and SQL

- Experience with distributed computing, parallel processing, and working with large datasets

- Strong experience in data lakes (integration of different data sources into the data lake)

- Experience in using Apache Airflow, DBT and/or AWS will be an added advantage

- Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams

* Excellent customer service and customer acquisition

* Brand enhancement for reputable clients

* Conducting presentations

* Assisting in the local and regional expansion of our organisational growth

* Developing coaching skills

Benefits:

* One-to-one guidance

* Transparent career growth

* Leadership and personal development workshops

* Global overseas exposure

* Vibrant team environment

Requirements:

* Keen to learn, self driven individuals

* Team player with entrepreneurial mindset

* Good interpersonal skills

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.

Salary: $3000 per month

Working days: 5 days per week (Office hours)

Work location: Clarke Quay / Novena

Contract duration: till August 2025 (extendable)

Responsibilities:

• Conduct survey interviews via outbound calls and field visits to collect timely and reliable data (target respondent: corporate company/establishment)
• Compile, record, input survey returns and data accurately into the system
• Conduct data verification of completed survey cases to ensure accuracy and reliability of data
• Establish and maintain relationship with respondents throughout the project period
• Ensure that the given KPI are being met based on the project timeline
• Provide status report to the supervisor

Requirements:

• At least 1 - 2 years experience in administrative & customer service
• Prior experience in call center environment will be beneficial
• Able to work in a fast paced environment & achieved assigned targets/KPIs
• Well spoken and good verbal/written communication skills
• Proficient in MS office, especially Excel

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • Reg No: R23117066 (CHEW KIA ZHENG)

Responsibilities

• Ensures that all unsecured and secured applications are processed with accuracy in accordance to the guidelines set by the bank, and within stipulated SLAs.
• This includes and are not limited to:
• Process and verify authentication checks &/or data entries
• Perform and verify accurate income computation
• Ensure accurate input/output to enable good customer service delivery
• Documentation of procedures to ensure compliance with group policies in procedures.
• Conduct internal reviews / tests to ensure compliance Assist with data analysis, report findings, recommend corrective actions and preventive actions for review.
• Handle administrative duties that include but are not limited to filing, printing, scanning, archiving

Skills/Requirement

Job Requirements

• Ability to think objectively and 'think outside the box' when analyzing issues
• Possess a strong analytical and problem-solving skills with excellent verbal/written communication and interpersonal skills
• Proficient in the use of Microsoft Excel, powerpoint and macro

Job Details:

• Contract: 6 months
• Industry: FMCG
• Location: Toa Payoh
• Working Hours: Monday - Friday 830am to 530pm

Responsibilities:

• Assist to brainstorm trade marketing strategies with sales and brand teams.
• Working with external agency to create and develop promotional and marketing materials that are align with the brand and retailer guidelines.
• Coordinate with brand and sales team on execution.
• Conduct market visits regularly to monitor competitor activities and strategized marketing plans with the team.
• Assist with monthly marketing budgeting reports and filling.
• Assisting with market surveys
• Review promotions executive to ensure profitability.
• Other adhoc duties assigned.

Requirements:

• Diploma/Degree in Marketing, Business or related fields.
• 1 – 2 years of experience in Trade Marketing or similar capacity will be a plus
• Willing to travel within Singapore to conduct store visits
• Proficient in Microsoft PowerPoint, Excel and Word
• Comfortable with market data analysis (AC Nielsen, Internal Sales Data)
• Self-motivated and takes initiative.

Interested candidate please click "APPLY"to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile https://sg.go.persolkelly.com/job/details/10375

Should you be interested in this position, please contact Coco at 8121 4759 your resume directly for fast respond.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • UEN No. 200007268E • EA License No. 01C4394 • EA Registration No. R23117223 (Poh Siew Ling)

Description

• Design, develop, and maintain scalable data pipelines using Spark and Scala to process large datasets.

• Implement and manage Elasticsearch clusters for efficient data retrieval and analysis.

• Collaborate with data scientists and analysts to understand data requirements and provide support for analytical solutions.

• Utilize Quantexa for entity resolution and network analytics to enhance data quality and insights.

• Monitor and optimize data workflows for performance, reliability, and scalability.

• Document data processes and ensure best practices in data engineering are followed.

• Participate in code reviews and contribute to the continuous improvement of our data engineering practices.

Requirements

• Proven experience as a Data Engineer, with a strong focus on Spark and Scala.

• Proficiency in Elasticsearch for search and analytics applications.

• Familiarity with Quantexa or similar tools for data enrichment and entity resolution.

• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

• Strong SQL skills and experience with relational databases.