Professional Certificate in Data Mining for Financial Crimes

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

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์–ด๋””์„œ๋“  ํ•™์Šต

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์™„๋ฃŒ๊นŒ์ง€ 2๊ฐœ์›”

์ฃผ 2-3์‹œ๊ฐ„

์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Data Mining Techniques for Financial Crime Detection
  • Data Preprocessing and Feature Engineering for Fraud Detection
  • Supervised Learning Methods for Anti-Money Laundering (AML)
  • Unsupervised Learning and Anomaly Detection in Financial Transactions
  • Network Analysis and Graph Databases for Financial Crime Investigation
  • Case Studies in Financial Crime Data Mining
  • Regulatory Compliance and Data Privacy in Financial Data Analysis
  • Risk Assessment and Modeling for Financial Institutions

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role Description Financial Crime Analyst (Data Mining) Investigate suspicious financial activities using advanced data mining techniques.

Identify patterns and anomalies indicating fraud or money laundering.

Requires strong data mining and SQL skills.

Data Scientist (Financial Crime) Develop and implement predictive models using machine learning algorithms to detect and prevent financial crime.

Requires expertise in data mining , statistical analysis, and programming.

Compliance Officer (Data Analytics) Monitor and analyze financial transactions to ensure compliance with regulations.

Leverage data mining techniques to identify risks and ensure regulatory adherence.

Experience in financial crime prevention is essential.

AML Specialist (Data Driven) Specialize in Anti-Money Laundering (AML) compliance, utilizing data mining to identify suspicious transactions and patterns.

Financial crime expertise and regulatory knowledge are critical.

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์™œ ์‚ฌ๋žŒ๋“ค์ด ๊ฒฝ๋ ฅ์„ ์œ„ํ•ด ์šฐ๋ฆฌ๋ฅผ ์„ ํƒํ•˜๋Š”๊ฐ€

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
PROFESSIONAL CERTIFICATE IN DATA MINING FOR FINANCIAL CRIMES
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of International Business (LSIB)
์ˆ˜์—ฌ์ผ
05 May 2025
๋ธ”๋ก์ฒด์ธ ID: s-1-a-2-m-3-p-4-l-5-e
์ด ์ž๊ฒฉ์ฆ์„ LinkedIn ํ”„๋กœํ•„, ์ด๋ ฅ์„œ ๋˜๋Š” CV์— ์ถ”๊ฐ€ํ•˜์„ธ์š”. ์†Œ์…œ ๋ฏธ๋””์–ด์™€ ์„ฑ๊ณผ ํ‰๊ฐ€์—์„œ ๊ณต์œ ํ•˜์„ธ์š”.
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