Registered Client Service Associate

AVP – Evergreen Data Product Owner

AVP – Model Ops Engineer

Manager - Card Authorisation & Fraud Detection Analyst 

system engineer

Customer Service / Order Management Specialist

IT Engineer

Responsibilities: <ul><li>Assist advisor(s) in servicing clients including preparing financial plans, conducting investment research and completing trades and transactions as described by the advisor.</li><li>Prepare and summarize client meetings by scheduling and confirming meetings, entering data into contact manager, building the agenda and summary of meetings, escorting clients to advisor meeting and providing vital follow-up.</li><li>Ensure new business paperwork is submitted efficiently which includes preparation of forms and documentation for submission to home office, acquisition of appropriate signatures, tracking of new insurance applications and coordination of rollovers.</li><li>Coordinate marketing events which include organizing the event, contacting vendors, finalizing event details, crafting marketing compliance documentation and managing event marketing reimbursement.</li><li>Provide general administrative duties such as answering the advisors’ phone, processing expense management reports, preparing routine client correspondence, supporting closes, setting up client documents and new business correspondence and alerts. </li></ul> Requirements: <ul><li>Bachelors degree or equivalent.</li><li>3 - 5 years relevant experience required.</li><li>Series 7 or ability to obtain within 150 days.</li><li>State securities agent registration (S63 or S66) or ability to obtain within 150 days.</li><li>Experience working in a client service environment.</li><li>Detail-oriented, strong math, and analytical skills. Good organization and time management skills.</li><li>Able to manage multiple priorities and prioritize effectively. Able to independently work with minimal direct supervision.</li><li>Able to communicate with all levels within the organization. Process oriented and can work with a team.</li><li>Strong computer and software skills. Preferred Qualifications:</li><li>State IAR registration (S65 or S66) or ability to obtain within 150 days.</li><li>Life, Accident, and Health licenses &amp; Variable Contracts or ability to obtain within 150 days.</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain robust pipelines to collect, transform, and store data used in model monitoring workflows (e.g., scoring data, performance metrics, outcomes).</li><li>Build scalable data architectures to support real-time and batch monitoring, including data ingestion, enrichment, and retention practices.</li><li>Develop reusable monitoring components (e.g., performance drift detectors, threshold-based alerts, metric repositories) that support various model types and regulatory needs.</li><li>Integrate data pipelines with model lifecycle platforms, MLOps tools, and observability solutions to ensure seamless model performance tracking.</li><li>Partner with model risk and compliance teams to ensure data lineage, audit trails, and documentation are preserved and accessible for regulatory reviews (e.g., SR 11-7 compliance).</li><li>Collaborate with data scientists, model validators, and product managers to align monitoring data infrastructure with evolving model monitoring requirements.</li><li>Work closely with the model monitoring analytics and strategy monitoring analytics teams within MO&amp;A to ensure the monitoring data infrastructure adapts to changing analytics and monitoring needs. Enable visualization and reporting capabilities through dashboards (e.g., Power BI, Tableau) that summarize model health, stability, and issue alerts.</li><li>Designing and maintaining high-performance data pipelines that ingest, transform, and version datasets for Model and Strategy Monitoring</li><li>Optimize data storage and compute performance for large-scale monitoring use cases involving high-frequency scoring or model ensembles.</li></ul> Requirements: <ul><li>Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering) with 7+ years’ experience OR, in lieu of degree, and 9+ years experience with program or product management experience leading complex, cross-functional data or analytics programs.</li><li>7+ years of of experience managing programs or products, including: 5+ years of experience defining business needs, prioritizing data and analytics solutions, and coordinating cross-functional technical execution and 3+ years of experience working in data integration, modeling, warehousing, or big data environments—preferably supporting modeling or advanced analytics.</li><li>Demonstrated experience leading Agile or Scaled Agile programs (SAFe) across cross-functional teams.</li><li>Proven track record of enabling model or analytics platforms, data-as-a-product delivery, or Model Lifecycle Operations/Data Operations functions.</li><li>Agile or Product Owner certification (e.g., CSPO, SAFe PO/PM).</li><li>Broad understanding of credit risk, fraud, marketing analytics, regulatory modeling (e.g., CECL, Basel), or consumer lending data environments.</li><li>Experience working with large-scale data ecosystems, including cloud (AWS, Azure), data lakes, and metadata management tools.</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain robust pipelines to collect, transform, and store data used in model monitoring workflows (e.g., scoring data, performance metrics, outcomes).</li><li>Build scalable data architectures to support real-time and batch monitoring, including data ingestion, enrichment, and retention practices.</li><li>Develop reusable monitoring components (e.g., performance drift detectors, threshold-based alerts, metric repositories) that support various model types and regulatory needs.</li><li>Integrate data pipelines with model lifecycle platforms, MLOps tools, and observability solutions to ensure seamless model performance tracking.</li><li>Partner with model risk and compliance teams to ensure data lineage, audit trails, and documentation are preserved and accessible for regulatory reviews (e.g., SR 11-7 compliance).</li><li>Collaborate with data scientists, model validators, and product managers to align monitoring data infrastructure with evolving model monitoring requirements.</li><li>Work closely with the model monitoring analytics and strategy monitoring analytics teams within MO&amp;A to ensure the monitoring data infrastructure adapts to changing analytics and monitoring needs. Enable visualization and reporting capabilities through dashboards (e.g., Power BI, Tableau) that summarize model health, stability, and issue alerts.</li><li>Designing and maintaining high-performance data pipelines that ingest, transform, and version datasets for Model and Strategy Monitoring</li><li>Optimize data storage and compute performance for large-scale monitoring use cases involving high-frequency scoring or model ensembles.</li></ul> Requirements: <ul><li>Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering) with 5+ years’ experience or in lieu of degree, and 7+ years of relevant work experience in, data engineering or related roles in the financial services or regulated analytics domain.</li><li>Strong proficiency with data engineering tools and frameworks (e.g., Apache Spark, Airflow, Kafka, dbt, PySpark).</li><li>Proficient in programming languages such as SAS, Python, and SQL for building monitoring pipelines and validation checks.</li><li>Experience with cloud-based data infrastructure (e.g., AWS, Azure, GCP) and data warehousing (e.g., Snowflake, Redshift, BigQuery).</li><li>Familiarity with MLOps practices, model metadata tracking (e.g., MLflow), and monitoring toolkits (e.g., Evidently AI, Why Labs, Prometheus).</li><li>Understanding of model risk governance requirements and the role of data engineering in ensuring compliant model monitoring.</li><li>Ability to work in an agile environment and deliver high-quality, production-grade code in collaboration with DevOps and platform engineering teams.</li></ul>

Key responsibilities Authoriser - Card Authorisation • Process and authorize credit &amp; debit card transactions in a timely and accurate manner. •Perform voice-authorisation and give assistance to merchants and customers at POS transactions. • Meeting Service Level Agreements (SLA) standards on pick-up call (for merchants and customers). • Manage email duties, assisting Call Centre &amp; RMs on block/unblock cards, temporary increase limit adjustment, and bypass security check for customers. • Support Cards &amp; Payments (CPP) Cards Operations to process Authorisation code for unsecured products.&nbsp; Authoriser – Merchant and Customer Support • Establish and maintain relationships with merchants, providing support and guidance on credit &amp; debit card transaction processes. • Assist merchants with inquiries and resolve any issues related to card authorizations. • Assist in transaction code cancellation request receive from merchants, customers and Contact Centre. • Respond to customer inquiries regarding credit &amp; debit card transactions and account statuses. • Educate customers on card usage, security, and fraud prevention. • Assist customer to adjust Temp Increase Limit. • 24/7 emergency card replacement support. • Act as point-of-contact with Card Scheme&nbsp;&nbsp; Authoriser – Card Surveillance Support (transaction monitoring) • Monitor and review card transactions for potential fraud and irregularities. • Monitor cards transaction in real time alerts queue and identify high risk transactions. • Monitor and analyze transactions to detect fraudulent activities using Visa/Mastercard fraud detection tools. • Observe customer transactions and identify suspicious and fraudulent activities such as account take over (scam fraud), friendly fraud, lost &amp; stolen card, and Credit Master attacks. Block/unblock cards, and attempt transaction cancellation when necessary. • Contact customer or manually trigger SMS notification to alert customer of suspicious transaction and perform verification with customer. • Follow-up on uncontactable customer by calling or sending SMS to notify to mitigate losses. • Manage customers expectation and explain to customer on fraudulent transactions and scam activities. • Support Fraud Investigation Team and Fraud Issuing team when required on fraud matters. • Perform merchant ID blocking to prevent Bin attack fraud and support CPP on parameter maintenance for 3DS system. Requirements • Diploma or equivalent qualification preferred. • Proficient in English. Ability to converse in in Mandarin (and dialects), Bahasa Malay, Tamil will be a plus. • Able to use MS Office and possess good written and communication skills. • Pleasant disposition with good interpersonal skills. • Possess strong analytical skills. • Possess high standard of customer service.&nbsp;

Responsibilities: <ul><li>Provide application L1/L2 support and system checks (CPU, disk usage, logs, services)</li><li>Troubleshoot and resolve system and application issues, and provide on-site technical support to ensure timely resolution and minimal disruption to business operations</li><li>Monitor application health and system alerts, escalating issues as needed</li><li>Log incidents and service requests in the ticketing system, ensuring timely resolution</li><li>Coordinate with L3 teams and vendors for issue escalation and follow-up</li><li>Perform routine maintenance tasks, such as application updates, patching, and backups</li><li>Maintain clear documentation of issues, fixes, and procedures</li><li>Participate in system testing, deployment, and post-deployment support activities</li><li>Assist in user access management and configuration </li><li>Requirements:</li><li>Diploma/Degree in Electrical Engineering, Computer Science, Communications Engineering or equivalent</li><li>Minimum 2 years in application maintenance, support or server infrastructure setup</li><li>Experience participating in Kubernetes cluster projects, with proficiency in using relevant commands to check application logs</li><li>Experience with at least two of the following Virtualization Technology/Platforms: VMware, Xen, KVM, OpenStack, Cloud Stack, Azure Stack</li><li>Experience with cloud orchestration, configuration management and auto-scaling techniques</li><li>Thorough knowledge of networking, routers, switches, and WiFi setup</li><li>Hands on experience in deploying ceph using different file system such as object storage, rbd, cephfs storage</li><li>Good knowledge of storage technologies, such as NAS, SAN, SDS</li><li>Experience with automation tools such as Salt/Chef/Puppet/Ansible</li><li>Experience with load balancing setup for TCP/IP, HTTP, DNS, routings.</li><li>Experience in using software version control</li><li>Knowledge of IT security standards, for instance from CIS or IM8.</li><li>Experience in IT security policy management and enforcing IT security</li><li>Knowledge of computer hardware components and ability to restore faulty servers to working condition.</li><li>Experience in coding or scripting languages such as bash, windows batch script, powershell, perl, python, etc.&nbsp;</li></ul>

Responsibilities: Order Entry: <ul><li>Download customer orders and forecasts from customer portals, organize, and enter into SAP system.</li><li>Work with customers, sales, and planners to resolve system alerts and ensure order and forecast accuracy.</li></ul> Material &amp; Delivery Tracking <ul><li>Coordinate with internal planners to expedite materials, manage inbound stock, and ensure timely shipment from warehouse.</li><li>Track delivery to customer sites, covering new project samples, mass production, and aftermarket requirements.</li><li>Familiar with VMI/CMI processes; monitor stock levels, replenish in time, and track quantities consumed but not invoiced, as well as received but not yet&nbsp;</li><li>consumed inventory.</li></ul> Accounts Receivable Control: <ul><li>Follow up on overdue payments with customers.</li><li>Support sales in achieving monthly collection targets.</li></ul> Quality Issue Handling: <ul><li>Use SAP to process returns, replacements, or refunds for confirmed quality issues.</li></ul> Customer Special Requirements: <ul><li>Understand customer-specific shipping requirements (labels, delivery notes, returnable packaging, etc.) and prepare work instructions for warehouse in&nbsp;</li><li>advance.</li><li>Perform monthly reconciliation with customer statements and notify Finance for invoicing.</li></ul> Other Support: <ul><li>Assist sales with price applications and adjustments.</li><li>Handle related paperwork such as new account creation, FOC, CR&amp;DR, Rebate, and Cost Claim requests.</li></ul> Requirements: <ul><li>Bachelor’s degree. CET-4 English level or above, with strong written business English skills.</li><li>Minimum 2 years of experience in order management, planning, or similar roles.</li><li>Strong coordination, communication, and problem-solving skills, with ability to work under pressure.</li><li>SAP system experience required.</li><li>Proficiency in MS Office (especially Excel)</li></ul>

Responsibilities: <ul><li>Be part of the IT support team works in manufacturing environment and handles IT tickets</li><li>Attend to tickets for incidents, service requests and alerts or problems with IT system.</li><li>Maintain ownership of issues until resolution and ensure close timely.</li><li>Collaborate and work closely with global teams, application teams and third party vendors to resolve issue and minimal downtime.</li><li>Log tickets and set priority in ticketing tool and escalate for next level support if needed.&nbsp;</li><li>Contribute ideas to enhance application to minimize repeating support issues.</li><li>Work on IT enhancement projects and deliver as per schedule.&nbsp;</li><li>Work as part of a global team to support manufacturing environment.</li><li>Provide after-hours support for manufacturing related emergencies.</li><li>Monitor IT incident tickets trending and ensure KPI is achieved.</li></ul> ﻿Requirements: <ul><li>Working knowledge of IT Hardware and basic understanding of network concept.</li><li>At least 3 years of experience supporting endpoints</li><li>Ability to learn and master applications used in manufacturing.</li><li>Willing to work on 12-hour shift patterns</li><li>At least 3 years of working experience in clean room environment.</li><li>Excellent analytical and troubleshooting skill.&nbsp;</li><li>Ability to manage and meet customer expectation and high customer orientation.</li><li>Excellent communication and logical thinking mind set.</li><li>Bachelor’s Degree in Computer Science, Information Technology or related fields.</li></ul>

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Registered Client Service Associate

AVP – Evergreen Data Product Owner

AVP – Model Ops Engineer

Manager - Card Authorisation & Fraud Detection Analyst

system engineer

Customer Service / Order Management Specialist

IT Engineer

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7 alerts Jobs found

Registered Client Service Associate

AVP – Evergreen Data Product Owner

AVP – Model Ops Engineer

Manager - Card Authorisation & Fraud Detection Analyst

system engineer

Customer Service / Order Management Specialist

IT Engineer

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow is on a mission to connect companies with the best talent across the globe.