About the Role

We are seeking an experienced and detail-oriented Accountant to join our Finance team supporting Korea, Japan, and Singapore. The ideal candidate will have at least 5 years of accounting experience and a strong understanding of Korean accounting standards (K-GAAP), IFRS, and regional tax compliance. This role will play a key part in managing multi-country accounting operations and supporting our fast-growing AI services business with accurate and timely financial data.

Key Responsibilities

General Accounting

• Prepare and maintain accurate general ledger (GL) entries and reconciliations across Korea, Japan, and Singapore entities
• Ensure proper month-end, quarter-end, and year-end closing in compliance with company policies and local GAAP/IFRS
• Manage accounts payable (AP) and accounts receivable (AR) processes across multiple countries
• Review and reconcile bank statements and monitor cash flow across entities

Financial Reporting

• Prepare monthly and quarterly financial statements for multiple entities and stakeholders
• Support the preparation of consolidated financials for headquarters
• Assist in management reporting and variance analysis across regions

Tax & Compliance

• Prepare and file tax returns including VAT (Korea), Consumption Tax (Japan), and GST (Singapore)
• Ensure compliance with local statutory and regulatory requirements across Korea, Japan, and Singapore
• Liaise with external auditors, tax advisors, and government agencies as required

Process Improvement & Tools

• Support ERP/financial systems (e.g., NetSuite, SAP, QuickBooks) across regions
• Assist in implementing automation tools to improve efficiency in finance operations
• Collaborate with global finance teams to align accounting policies and internal controls

Business Support

• Partner with operational and project teams to provide financial insights for AI service projects
• Assist in budgeting, forecasting, and cash flow planning across multiple entities
• Provide finance-related support for payroll, expense reimbursement, and operational finance

Basic Qualifications

• Bachelor’s degree in Accounting, Finance, or related field
• Minimum 3 years of relevant accounting experience, preferably in technology or service companies
• Strong knowledge of K-GAAP, IFRS, and regional tax compliance (Korea, Japan, Singapore preferred)
• Intermediate to advanced Excel skills and financial reporting capabilities
• Strong communication skills in Korean and English (written and spoken)

Preferred Qualifications

• Experience with ERP/accounting software (e.g., NetSuite, SAP, Oracle)
• Experience handling multi-country accounting operations
• Good communication skills in Japanese
• Familiarity with Singapore GST and regional compliance requirements

*한국어 버전 뒤에 영어 버전이 이어집니다.

*The English version follows the Korean version.

회사 소개

쿠팡은 고객 감동 실현을 위해 존재합니다. 고객들이 "쿠팡 없이 그동안 어떻게 살았을까?" 라고 말할 때, 비로소 우리의 미션을 실현하고 있음을 알 수 있습니다. 고객들의 쇼핑과 식사, 생활 전반을 편하게 만들겠다는 유일한 집념으로 쿠팡은 수억 달러 규모의 이커머스 산업 전반의 혁신을 이끌고 있습니다. 쿠팡은 가장 빠르게 성장하는 이커머스 기업 중 하나로, 국내 커머스 업계에서의 독보적인 입지와, 고객 신뢰를 구축했습니다.

쿠팡은 스타트업 문화를 기반으로 한 글로벌 대형 상장사라고 자부합니다. 이것이 창립 당시의 기민함을 유지하며, 신규 서비스를 끊임없이 출시하며 비즈니스를 확장해 나가는 우리의 성장 동력입니다. 쿠팡의 모든 임직원에게는 기업가 정신을 갖추고 새로운 혁신과 이니셔티브를 추진할 수 있는 기회가 주어집니다. 주저 없이 일에 뛰어들어 성과를 이루고자 하는 과감성이, 바로 쿠팡이 일하는 방식의 본질입니다. 쿠팡에서는 여러분 자신, 동료, 팀 그리고 회사 전체가 매일 성장하는 모습을 목격할 것입니다.

쿠팡의 모든 직원은 커머스의 미래를 만들겠다는 쿠팡의 미션에 진심입니다. 우리는 고객의 문제를 해결해 나가고, 전통적인 관념과 통념에 맞서며 실현 가능한 한계를 뛰어넘고 있습니다. 고가용성 (always-on) 과 최첨단의 앞선 기술 (high-tech), 초연결사회 (hyper-connected world) 에서의 놀라운 업무 경험을 원하신다면, 지금 바로 쿠팡에 합류하세요.

직무 소개

Staff Insider Threat Analyst는 내부자 위협(Insider Threat) 으로부터 회사의 지적 재산, 재무 자산, 임직원 및 고객 데이터를 보호하는 핵심 역할을 담당합니다. Global Insider Threat Director에게 직접 보고하며, 고도화된 내부자 위협 분석, 탐지 시나리오 개발, UEBA(User & Entity Behavior Analytics) 역량 성숙화를 주도합니다. 또한 정보보안, 법무, HR, 컴플라이언스 조직 간을 잇는 핵심 전문가로서 활동합니다.

업무 내용

1. 고급 알림 분석 및 트리아지

• DLP, UEBA 등 다양한 보안 솔루션에서 발생하는 알림을 분석·정교화
• 데이터 유출, 권한 남용, 내부 부정행위로 의심되는 이상 사용자 행위 식별

2. 에스컬레이션 및 케이스 정리

• 사용자 행위에 대한 심층 분석을 통해 위험도, 맥락, 의도 판단
• 조사에 필요한 고품질 분석 자료를 준비하여 HR·법무·조사팀으로 이관

3. DLP 프로그램 최적화

• DLP 분석 관점의 핵심 이해관계자로서 정책 개선 피드백 제공
• 오탐 감소 및 환경 전반의 데이터 보호 커버리지 강화

4. 내부자 사기(Fraud) 탐지

• 접근 로그 및 시스템 활동 분석을 통해 재무 부정, 권한 오남용, 내부 사기 징후 탐지

5. 조직 간 협업 및 핸드오프

• 정보보안, 인사 노무(Employee Relations), 법무팀과 긴밀히 협업
• 윤리적 기준과 지역 법규를 준수한 분석 및 문서화된 인계 수행

6. 프로그램 고도화 및 자동화

• 현 탐지·분석 프로세스의 공백 식별
• AI/머신러닝 및 자동화를 활용해 분석 효율성과 의사결정 속도 향상

7. 멘토링

• 주니어 분석가들에게 기술적·분석적 가이드 제공
• 내부자 위협 분석 전문성의 조직 내 확산 기여

자격 요건

• 사이버보안, SOC, 침해사고 대응, IT 감사, 데이터 보호 분야 7년 이상
• DLP, UEBA, 내부자 위협 알림 분석 2~3년 이상 (또는 보안 분석 전반에서 강한 행동 기반 분석 역량 보유 시 우대)
• 네트워크, Windows/macOS, ID 관리, 클라우드 환경 이해
• 로그 분석을 통해 사용자 행위 타임라인 구성 가능
• 단일 알림이 아닌 사용자 행동 전반의 맥락을 해석하는 능력
• 민감한 임직원 데이터를 다루는 높은 보안 의식과 책임감

우대 사항

• 사이버보안, 컴퓨터공학 등 관련 전공 학사 이상 또는 이에 준하는 실무 경험
• 이상 탐지용 AI/ML 활용 경험
• Python, PowerShell 등 스크립팅을 통한 분석 자동화
• 기업 내부 사기, 비인가 접근, 산업 스파이 분석 경험
• 한국 개인정보보호법(PIPA) 및 직원 모니터링 규제 이해

Staff Insider Threat Analyst

As a Staff Insider Threat Analyst, you will play a pivotal role in safeguarding our intellectual property, financial assets, employee data, and customer data from internal risks. Reporting directly to the Director of Global Insider Threat, you will lead complex insider threat related analysis, help develop advanced detection use cases, and mature our User and Entity Behavior Analytics (UEBA) capabilities. You will serve as a subject matter expert in Data Loss Prevention (DLP) and insider fraud, acting as a critical bridge between Information Security, Legal, HR, and Compliance teams.

Primary Responsibility

• Advanced Alert Triage & Analysis:

Monitor, analyze, and enrich alerts from various security tools to identify anomalous user behavior indicative of data exfiltration, access abuse, or other insider misconduct.

• Escalation & Case Packaging:

Perform deep-dive behavioral analysis to determine the severity, context, and potential intent behind anomalous activity. Compile high-fidelity data packages and escalate actionable cases to the formal investigations, Legal, or HR teams for final disposition.

• DLP Program Optimization:

Act as a primary analytic stakeholder for our Data Loss Prevention (DLP) ecosystem. Provide feedback to engineering teams to tune policies, reduce false positives, and ensure robust coverage across the environment.

• Insider Fraud Detection:

Analyze access logs and system activities to identify anomalies that may indicate occupational fraud, financial irregularities, or privilege abuse.

• Cross-Functional Handoff:

Partner closely with Information Security, Employee Relations, and Legal teams to ensure a seamless, well-documented handover of triaged cases, ensuring all analysis is conducted ethically and complies with local regulations.

• Program Maturity & Automation:

Proactively identify gaps in current detection and triage capabilities. Champion the use of AI, Machine Learning, and automation to streamline repetitive triage tasks and accelerate the team's time-to-decision.

• Mentorship:

Provide technical guidance to junior analysts on the team, helping to build local capability in the growing field of insider risk analysis.

Required Qualifications

• Experience:

7+ years of overall experience in Cybersecurity, Security Operations (SOC), Incident Response, IT Audit, or Data Protection.

• Insider Risk / DLP Exposure:

At least 2–3 years of experience specifically analyzing alerts related to Data Loss Prevention (DLP), User Behavior Analytics (UEBA), or insider threat events.

(Note: Candidates with strong general security analytics backgrounds demonstrating a clear aptitude for behavioral analysis will be strongly considered.)

• Technical Acumen:

Strong understanding of network architecture, operating systems (Windows, macOS), identity management, and cloud platforms, with the ability to quickly pivot through logs to build a timeline of user activity.

• Analytical Mindset:

Exceptional critical thinking skills with the ability to look beyond a single alert to understand the broader context of user behavior.

• Discretion:

High degree of integrity and the ability to handle highly sensitive, confidential employee data with strict discretion.

Preferred Qualifications

• AI & Automation Skills:

Experience leveraging Artificial Intelligence (AI) and Machine Learning models for anomaly detection, or proficiency in scripting (e.g., Python, PowerShell) to automate analytic workflows.

• Fraud Analysis Experience:

Prior exposure to analyzing technical indicators of corporate fraud, unauthorized data access, or corporate espionage.

• Local Privacy Knowledge:

Familiarity with South Korea's Personal Information Protection Act (PIPA) and its implications for employee monitoring and data security analysis.

• Education:

Bachelor’s degree in Cybersecurity, Computer Science, or a related technical field (or equivalent practical experience).

전형 절차 및 안내 사항 

• 전형 절차  
• 서류전형 - 1차 화상면접 - 심층 화상면접 – 최종 합격
• 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.
• 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다. 
• 참고 사항  
• 본 공고는 모집 완료 시 조기 마감될 수 있습니다.
• 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다.
• 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다.
• 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다.
• 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다. 

개인정보 처리방침   

• 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다. https://www.coupang.jobs/kr/privacy-policy   

서류 반환 정책   

1. 본 고지는 『채용절차의공정화에관한법률』 제11조제6항에 따른 것 입니다. 
2. 당사 채용에 응시한 구직자 중 최종 합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다.
3. 위2항 본문에 따라 채용 서류 반환 청구를 하는 구직자는 채용 서류 반환 청구서 [채용절차의 공정화에 관한 법률 시행규칙 별지 제 3 호 서식]를 작성하여 이메일 (recruitingops@coupang.com) 로 제출하면, 제출이 확인된 날로부터 14 일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다.  
4. 당사는 위2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180 일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다.
5. 단, 위 1항 내지 4항의 내용은 대한민국의 노동 관계 법령이 적용되는 경우에만 적용됩니다. 그 이외의 경우에는 적용되지 않습니다. 

The Site Reliability Engineering team at IMC Trading is focused on the scalability and reliability of our trading systems.

We are responsible for the operations of real-time systems, providing fast and effective incident response to keep IMC trading in the market. We work closely with traders and software developers to define short and long term improvements that make our trading systems easier to operate and more scalable. In the process, we build an understanding of IMC’s trading strategies and software stack and apply automation that allows everyone to move fast, safely.

Your Core Responsibilities:

• Provide continuity, stability, and reliability of the Korean trading production environment.
• Ensure continuity of critical trading operations, prioritising resolution of system issues with a sense of urgency: you will be the first layer of response, and will need to triage and resolve / escalate issues under time pressure.
• Support and monitor trading systems, proactively addressing problems before they are noticed
• Partner with technology and trading teams to continually evolve and deploy system architecture
• Define and own improvements to our systems and make sure they are delivered, whether by the SRE team, our dev teams or trading teams
• Making sure that quick fixes are turned into lasting solutions
• Support and oversight on corporate infrastructure where required
• Liaise with vendors for IT related tasks and problem resolutions

Your Skills and Experience:

• Fluent in English both verbal and written is a must.
• Fluent in Korean both verbal and written is a strong advantage.
• Tertiary qualifications in engineering, computer science or equivalent.
• 5+ years of experience, including 3+ years of experience in Site Reliability Engineering, Systems Integration, or a related role
• 3+ years of hands-on professional experience with Linux operating systems, network configuration, containers and orchestration tools, including Kubernetes
• Proficiency in Python and Bash is required, experience with Go, Java and C++ are desirable

IMC is seeking experienced Quantitative Traders to drive the monetisation of high to mid-frequency delta-one trading strategies within the APAC markets. In this role, you will harness your expertise to develop and execute profitable systematic trading strategies that deliver measurable results. Joining our dynamic and growing research and trading team, you’ll collaborate closely with quant researchers, software engineers, and hardware engineers to uncover opportunities, optimize performance, and enhance our production outcomes.

IMC competes and wins as a team, with open idea sharing and collaboration across disciplines, desks and offices.

Your Core Responsibilities:

• Develop and deploy high to mid-frequency systematic trading strategies, with a focus on APAC equities markets.
• Identify and exploit inefficiencies in financial markets, optimizing trade selection and minimizing market impact.
• Design and implement execution algorithms that account for market microstructure and dynamic liquidity conditions
• Manage and optimize risk exposures in line with the firm's risk tolerance and trading objectives.

Your Skills and Experience:

• Degree in a quantitative field such as Mathematics, Physics, Computer Science, Engineering, or Economics.
• 4+ years experience in quantitative trading with specific experience in the high to mid-frequency delta-one space, ideally within APAC markets.
• Strong programming skills in at least one language (python strongly preferred).
• Strong understanding of financial markets, market microstructure, and trading systems.
• Experience in modelling market impact, with a deep understanding of order book dynamics, and liquidity provision
• Experience building predictive models for order placement, timing, and sizing to reduce adverse selection and slippage.
• Strong data analysis skills, including working with large-scale financial datasets and tick-level data.
• Excellent problem-solving skills, with the ability to thrive under pressure and adapt to changing market conditions.