Charmine

Verified

mark as hired

Overview

Looking for part-time work (4 hours/day)

at $3.26/hour ($320.00/month)

Bachelor's degree

Last Active

October 3rd, 2026 (3 days ago)

Member Since

April 20th, 2026

Profile Description

Hello! I am a dedicated compliance professional with 10 years of experience in the banking sector, including valuable time spent with international institutions like ING. Throughout my career, my main goal has always been to help organizations protect themselves from financial crime while keeping daily operations running smoothly. I enjoy finding practical ways to support my team. For example, I recently helped design an AI-assisted tool that simplified our business summarization process and saved valuable time for our reviewers. I bring a patient, detail-oriented, and collaborative approach to every project.

Top Skills

Office and Administration » Data Entry

Experience: 5 - 10 years

Accurate and detail-oriented data entry support with experience reviewing, verifying, organizing, and updating customer information against official documents. Skilled in handling high-volume data, maintaining accurate records, managing email queues, and ensuring information is properly categorized and routed to the appropriate team. Committed to accuracy, confidentiality, and timely completion of tasks.

Office and Administration » Email Management

Experience: 5 - 10 years

Managed team email queues by categorizing and routing requests to the appropriate owners, processing waiver requests as needed, and forwarding emails for timely action. Monitored ownership changes, including staff resignations, by verifying the appropriate replacement through internal systems and management to ensure requests were properly assigned and no emails were missed.

Office and Administration » Regulatory Compliance

Experience: 5 - 10 years

KYC/AML and Compliance professional with 10 years of banking experience supporting Private Individual, SME, and MidCorp clients. Experienced in customer due diligence, enhanced due diligence, AML alert investigation, financial crime risk assessment, regulatory compliance, and client relationship management. Strong working knowledge of local and global KYC/AML frameworks, with a proven ability to perform accurate risk-based assessments, strengthen compliance controls, and support efficient operations in fast-paced banking environments.

Other Skills

Coaching » Credit Repair » Risk Assessment

Experience: 5 - 10 years

Conducts thorough risk assessments by reviewing customer information, identifying potential risks, and applying CDD/EDD principles to support accurate risk classification and informed decision-making. Experienced in assessing individuals, SMEs, and MidCorp clients while maintaining strong attention to detail, regulatory requirements, and documentation accuracy.

Basic Information

Age: 32

Gender: Female

Website: Sign Up with Pro Account to View

Address: Pasig, Metro Manila

Tests Taken: English
B2(Upper Intermediate)

Government ID: Sign Up with Pro Account to View

“I went on OnlineJobs.ph to hire someone... I found someone who worked out great. He's been with us for 3 months. He's done more in these 3 months than I've done in the last couple of years... I highly recommend OnlineJobs.ph!”

Judy Bass

SEE MORE REAL RESULTS

“I'm working with a very very talented person.”

- Austin L. Church

see more real results

BENCHMARKS

Loading Time: Base Classes	0.0011
Controller Execution Time ( Jobseekers / Info )	0.0382
Total Execution Time	0.0402

GET DATA

No GET data exists

MEMORY USAGE

1,582,776 bytes

POST DATA

No POST data exists

URI STRING

jobseekers/info/4935730

CLASS/METHOD

jobseekers/info

DATABASE: onlinejobs (Jobseekers:$db) QUERIES: 29 (0.0232 seconds) (Show)

0.0006	`SELECT * FROM exrates WHERE rate_name = 'USD-PHP'`
0.0008	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '4935730' LIMIT 1
0.0031	SELECT * FROM `jobseeker_meta` WHERE `jobseeker_id` = '4935730'
0.0006	SELECT `j`., `jj`. FROM `jobseekers` `j` INNER JOIN `jobseekers_jobdata` `jj` ON `j`.`jobseeker_id` = `jj`.`jobseeker_id` WHERE `j`.`jobseeker_id` = '4935730'
0.0004	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` IS NULL
0.0006	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '4935730' AND `is_private` = 1
0.0003	`SELECT * FROM employment WHERE jobseeker_id = '4935730' AND hired > -1`
0.0022	`SELECT employers.contact_name, ec.employer_id, ec.jobseekers_id, ec.is_jobseeker_reply, ec.employer_date, ec.employer_comment, ec.lastmodified FROM employers LEFT JOIN employer_comment ec on employers.employer_id = ec.employer_id WHERE ec.jobseekers_id = '4935730' AND employers.deactivate = 0 ORDER BY employer_comment_id DESC`
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0.0006	`SELECT * FROM jobseekers_jobdata WHERE jobseeker_id = 4935730 LIMIT 1`
0.0007	`SELECT * FROM jobseekers_skills WHERE jobseeker_id = 4935730 LIMIT 1`
0.0007	`SELECT * FROM jobseekers j, jobseekers_jobdata jj,jobseekers_skills js WHERE j.jobseeker_id = '4935730' AND j.jobseeker_id = jj.jobseeker_id AND jj.jobseeker_id = js.jobseeker_id`
0.0004	`SELECT *, DATEDIFF('2026-10-06',rebill_date) duration_rebill FROM employers WHERE employer_id = ''`
0.0005	`SELECT * FROM employer_comment WHERE employer_id = ''`
0.0012	SELECT `facebook`, `manual_fb_score` FROM `jobseekers_trust` WHERE `jobseeker_id` = '4935730'
0.0032	SELECT * FROM `skills_categories` WHERE `is_approved` = 1 ORDER BY `name`
0.0015	SELECT `jsct`., `jsct`.`id` as `jsct_id`, `sct`. FROM `jobseekers_skills_categories` `jsct` LEFT JOIN `skills_categories` `sct` ON `sct`.`id` = `jsct`.`skill_category_id` WHERE `sct`.`is_approved` = 1 AND `jsct`.`jobseeker_id` = '4935730' ORDER BY `jsct`.`rate` DESC
0.0006	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` = '4935730'
0.0003	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0003	SELECT * FROM `testimonial_videos` WHERE `placement` = 1 OR `placement` = 0 ORDER BY RAND()
0.0004	SELECT * FROM `testimonial_videos` WHERE `placement` = 2 OR `placement` = 0 ORDER BY RAND()
0.0003	`select * from teasers`
0.0006	SELECT * FROM `employers` WHERE `employer_id` IS NULL LIMIT 1
0.0003	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0004	SELECT * FROM `employers` WHERE `employer_id` IS NULL LIMIT 1
0.0005	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0002	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0005	`SELECT * FROM notes WHERE employer_id = '0'`

HTTP HEADERS (Show)

SESSION DATA (Show)

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last_page	https://v1.stage.onlinejobs.ph/jobseekers/info/4935730
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honeypot	Array ( [name_field] => my_name [enabled] => 1 )

HTTP_ACCEPT	/
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HTTP_CONNECTION	Upgrade
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SERVER_NAME	v1.stage.onlinejobs.ph
REMOTE_ADDR	127.0.0.1
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HTTP_ACCEPT_LANGUAGE
SCRIPT_NAME	/index.php
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SERVER_PROTOCOL	HTTP/1.1
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HTTP_ACCEPT_ENCODING	gzip, br, zstd, deflate
HTTP_X_FORWARDED_FOR	216.73.216.43
HTTP_DNT