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Kyc Verification Jobs (NOW HIRING)

GBG

Senior Machine Learning Engineer (3968)

Manchester, NH · On-site

$104K - $142K/yr

These models are designed to revolutionize KYC verification for our customers. We drive the development of these cutting-edge technologies, aiming to provide unparalleled solutions for document ...

LeaseWeb

Verification & Abuse Officer

Manassas, VA · Hybrid

$16.50 - $18.25/hr

Review and verify new customer orders and account information as part of Leaseweb's Know Your Customer (KYC) and risk management processes. * Investigate, manage, and resolve abuse reports related to ...

New

www.leaseweb.com

Verification & Abuse Officer

Manassas, VA · Hybrid

$16.50 - $18.25/hr

Review and verify new customer orders and account information as part of Leaseweb's Know Your Customer (KYC) and risk management processes. * Investigate, manage, and resolve abuse reports related to ...

www.leaseweb.com

Verification & Abuse Officer

Manassas, VA · On-site

$16.50 - $18.25/hr

Review and verify new customer orders and account information as part of Leaseweb's Know Your Customer (KYC) and risk management processes. * Investigate, manage, and resolve abuse reports related to ...

LeaseWeb

Verification & Abuse Officer

Manassas Park, VA · Hybrid

$16.25 - $18/hr

Review and verify new customer orders and account information as part of Leaseweb's Know Your Customer (KYC) and risk management processes. * Investigate, manage, and resolve abuse reports related to ...

New

www.leaseweb.com

Verification & Abuse Officer

Manassas, VA · On-site

$16.50 - $18.25/hr

Review and verify new customer orders and account information as part of Leaseweb's Know Your Customer (KYC) and risk management processes. * Investigate, manage, and resolve abuse reports related to ...

Gerald Group

Administrative Assistant

Stamford, CT · On-site

$19.25 - $25.75/hr

Manage customer due diligence (CDD) and periodic KYC refresh requests making sure that prior to disclosing any information, verify that a fully executed NDA is on file, confirm the counterparty has ...

Deutsche Bank

Vice President - {SR9517660}

Jacksonville, FL · On-site

$104K - $124K/yr

... KYC quality performance; performing data extraction, massaging, verification, and analysis to visualize outliers and propose solutions; preparing technical presentations on data analysis to present ...

Gerald Group

Administrative Assistant

Stamford, CT

$19.25 - $25.75/hr

Manage customer due diligence (CDD) and periodic KYC refresh requests making sure that prior to disclosing any information, verify that a fully executed NDA is on file, confirm the counterparty has ...

Gerald Group

Administrative Assistant

Stamford, CT · On-site

$19.25 - $25.75/hr

Manage customer due diligence (CDD) and periodic KYC refresh requests making sure that prior to disclosing any information, verify that a fully executed NDA is on file, confirm the counterparty has ...

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How much do kyc verification jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for kyc verification in the United States is $20.70, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.88 per hour, depending on experience, location, and employer.

What are some common challenges faced in KYC Verification roles and how can I prepare for them?

Common challenges in KYC Verification roles include dealing with incomplete or inconsistent client documentation, staying updated on evolving regulatory requirements, and managing a high volume of cases efficiently. You may also encounter language or cultural barriers when verifying international clients, which requires patience and resourcefulness. Preparing for these challenges involves staying current with compliance guidelines, honing your attention to detail, and developing strong organizational skills to manage multiple priorities. Being proactive in communication and seeking continuous training can also help you excel in this field.

What are the key skills and qualifications needed to thrive in the Kyc Verification position, and why are they important?

To thrive in KYC Verification, you need strong analytical skills, attention to detail, and knowledge of regulatory compliance requirements, often supported by a background in finance, business, or a related field. Familiarity with KYC software platforms, document management systems, and sometimes certifications in anti-money laundering (AML) are highly valuable. Excellent communication, problem-solving abilities, and strong organizational skills help you excel in a fast-paced, deadline-driven environment. These skills ensure that client onboarding and monitoring are accurate, efficient, and compliant with industry standards.

What is a KYC Verification job?

A KYC (Know Your Customer) Verification job involves verifying customer identities to ensure compliance with legal and regulatory requirements. Professionals in this role review documents like IDs, proof of address, and financial records to prevent fraud and money laundering. They work closely with compliance teams and follow strict guidelines to ensure accuracy. This role is crucial in industries like banking, finance, and fintech, where customer due diligence is required.

More about Kyc Verification jobs
What cities are hiring for Kyc Verification jobs? Cities with the most Kyc Verification job openings:
What are the most commonly searched types of Kyc Verification jobs? The most popular types of Kyc Verification jobs are:
What states have the most Kyc Verification jobs? States with the most job openings for Kyc Verification jobs include:
What job categories do people searching Kyc Verification jobs look for? The top searched job categories for Kyc Verification jobs are:
Kyc Verification jobs near you
Infographic showing various Kyc Verification job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 11% As Needed, 12% Full Time, 74% Part Time, and 2% Nights. Highlights an 75% Physical, 16% Hybrid, and 9% Remote job distribution, with an average salary of $43,051 per year, or $20.7 per hour.

Senior Machine Learning Engineer (3968)

GBG

Manchester, NH • On-site

$104K - $142K/yr

Full-time

Posted 13 days ago

Job description

About GBG
Enabling safe and rewarding digital lives for genuine people, everywhere
We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification.
With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live.
About the team and role
CVML Teams
At the heart of GBG's Documents and Biometrics portfolio, our team focuses on creating unique and powerful artificial intelligence models. These models are designed to revolutionize KYC verification for our customers. We drive the development of these cutting-edge technologies, aiming to provide unparalleled solutions for document verification and digital trust. Collaboration is our cornerstone as we bring together diverse expertise to achieve collective success. Guided by Agile methodology, our daily operations focus on efficiency through automation.
Senior Machine Learning Engineer
The Senior Machine Learning Engineer is a senior individual contributor responsible for designing, developing, deploying, and continuously improving machine learning and computer vision models that power production-grade systems. This role combines strong hands-on technical execution with mentorship, collaboration, and data-driven problem solving.
Operating within an Agile environment, the Senior ML Engineer works closely with the machine learning team and cross-functional partners to translate product requirements into robust ML solutions. The role requires deep expertise in modern ML and computer vision techniques, experience operating models in production, and the ability to guide junior engineers through the full ML lifecycle while driving measurable improvements in model performance and product quality.
What you will do
Technical Development & Innovation
  • Design, implement, and optimize state-of-the-art machine learning and computer vision models to enhance product capabilities.
  • Research, evaluate, and apply modern architectures and techniques, including CNNs, transformers, and vision-language models.
  • Implement and benchmark newly developed algorithms on large-scale datasets, validating both accuracy and throughput.
  • Fine-tune large-scale models using efficient adaptation techniques such as LoRA and QLoRA.

Model Evaluation & Data Analysis
  • Define, implement, and monitor appropriate evaluation metrics (e.g., precision, recall, ROC-AUC, confusion matrices).
  • Analyze training, test, and production data using statistical and visual techniques to identify performance gaps and reliability risks.
  • Propose and implement data-driven enhancements to model accuracy, robustness, and system stability.

Production Deployment & MLOps
  • Support end-to-end ML workflows, including data preparation, training, deployment, monitoring, and iterative improvement.
  • Contribute to CI/CD pipelines and production monitoring to ensure reliable, reproducible, and scalable model delivery.
  • Assist in diagnosing and resolving model performance regressions and production issues.

Mentorship & Team Contribution
  • Mentor and support junior CVML engineers across all phases of ML projects, including planning, data collection, annotation, training, deployment, and iteration.
  • Participate in design reviews, technical discussions, and knowledge-sharing initiatives to raise overall team capability.
  • Contribute actively to Agile ceremonies and collaborative problem-solving efforts.

Continuous Improvement & Collaboration
  • Proactively suggest improvements to existing models, workflows, tools, and product features.
  • Collaborate effectively with engineering, product, and data stakeholders to deliver high-impact ML solutions.
  • Maintain awareness of emerging ML and computer vision trends and assess their applicability to real-world problems.

Skills we're looking for
  • Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related field or equivalent experience
  • Strong hands-on experience developing and deploying machine learning models in production environments.
  • Advanced understanding of supervised, unsupervised, and semi-supervised learning techniques.
  • Expertise in classification, regression, clustering, and anomaly detection.
  • Solid experience with convolutional neural networks, recurrent neural networks, and transformer-based models.
  • Strong proficiency in Python (C++ is a plus) and PyTorch (TensorFlow is a plus)
  • Hands-on experience with modern neural network architectures and loss functions across tasks such as object detection, image segmentation, and representation learning.
  • Experience using computer vision and scientific computing libraries such as OpenCV.
  • Familiarity with model deployment, monitoring, and CI/CD workflows.
  • Beneficial to have experience working with large-scale datasets and performance-critical ML systems.
  • Prior experience mentoring or technically guiding other ML engineers.
  • Beneficial to have exposure to production MLOps practices and model lifecycle management.
  • Able to balances research-driven exploration with pragmatic, production-focused execution.

To find out more
As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process.
To chat to the Talent Attraction team and find out more about our benefits and why we're a great place to work, drop an email to behired@gbgplc.com and we'll be in touch. You can also find out more about careers at GBG and check out our current opportunities at gbgplc.com/careers.
Unleash your potential and be part of our mission to power safe and rewarding digital lives.

Apply