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REMOTE - Data Services - KYC Analyst (Mid-level)

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REMOTE - Data Services - KYC Analyst (Mid-level)

Nexus FrontierTech

REMOTE - Data Services - KYC Analyst (Mid-level)

Skills

PythonTesting & QARData AnalysisAIProcess ImprovementCompliance

2 months ago

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Important information


Contract type:

Freelance / Contract

Location:

Hanoi, Vietnam

Work mode:

Remote

Published on:

26 August 2026

What they need


About The Company Nexus FrontierTech empowers institutions with financial data processing products through its proprietary generative AI platform that automates data-driven processes, extract valuable insights from unstructured data, and improve decision-making processes. Recognized by Deloitte as one of the Top 50 fastest-growing companies in the UK, Nexus offers financial data processing products through its proprietary generative AI platform that powers modular AI components to automate data-driven processes, extract valuable insights from unstructured data, and improve decision-making processes.

With a global team of more than 50 AI researchers, analysts and business leaders, Nexus envisages a digital world transformation that maximises human potential and sustainable value creation.

LinkedIn: https://www.linkedin.com/company/nexusfrontiertech

Facebook: https://www.facebook.com/NexusFrontierTech/

X: https://x.com/NexusFrontier

About The Role

  • Lead full-cycle KYC/EDD data processing: reviewing, inputting, updating, and maintaining customer due diligence data with accuracy and completeness;
  • Compare KYC reports against source and reference documents (corporate registries, ownership charts, screening results) to verify accuracy and flag discrepancies;
  • Ensure data quality assurance: review data for deficiencies or errors, correct any errors or inconsistencies in KYC records;
  • Perform end-to-end data quality validation and cleansing: identify anomalies, resolve inconsistencies, and ensure datasets meet accuracy and completeness standards before use in analysis or reporting;
  • Apply working knowledge of KYC/AML regulatory requirements and banking compliance standards to identify red flags and escalate appropriately;
  • Proactively work with the Data Services Team to solve any issue or problem that might occur during the process that may impact the project;
  • Work closely with teammates to assess the feasibility and possible solutions to ensure progress and quality of data delivered;
  • Contribute to and identify opportunities for process improvement, automation, and cross-functional internal data projects.

Requirements [Must have]

  • 3-5 years of experience in KYC, AML, or banking/financial services compliance operations;
  • Solid understanding of KYC/EDD processes, customer due diligence documentation, and corporate ownership structures;
  • Good literacy and communication skills (verbal and written) in English; Intermediate English (B2) or above;
  • Proactiveness, detail-oriented, constant-learning mindset, good time management;
  • Strong interest in data and analytics projects and Artificial Intelligence (AI) technologies;
  • Proficient in Excel formulas, data structures, and basic visualisation;
  • Experience using Google Workspace, Microsoft Office, PDF tools, and data tools;
  • Have a basic understanding of how common AI tools work, including their common applications and limitations;
  • Ability to research and adopt other data tools as project needs;
  • Ability to work independently and reliably as a freelancer, meeting agreed hours and deadlines.

[Nice to have]

  • Personal laptop;
  • Chinese language literacy (reading and writing) as a plus for data work involving Chinese-language sources;
  • Bachelor's degree in Finance, Business, Accounting, or a related field;
  • Exposure to AI/LLM platforms;
  • Experience with Python or R for advanced data analysis and automation.

Benefits Salary: Upto 12M

Working type: 100% remote

By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.

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