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COVID-19:

The health and safety of our colleagues and candidates for employment are our highest priority. Accordingly, Citi continues to monitor the COVID-19 situation closely. We have implemented precautionary measures across our firm globally, including conducting all candidate interviews virtually on a temporary basis until further notice where needed.

GFCII Data Intelligence Data Science Senior Analyst (AVP) - Hybrid

Job Req ID 22551214 Location(s) Kuala Lumpur, Malaysia Job Category Operations - Core
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At Citi, we are monitoring transactions across traditional and emerging platforms. The Global Data Intelligence & Analytics Team uncovers money laundering, fraud, and other illegal activities by leveraging subject matter expertise, data analysis, advanced algorithms, and behavior-based analytics. We work globally with partners in business, compliance, and investigations to provide best in class experience for our customers while identifying potential risk to the firm.

The ideal candidate is a problem solver, equipped with proven analytical skills suited to approach varied challenges in complex environments. Adept at creative and critical thinking, can deconstruct the problem and transform insights into solutions.

The Data Intelligence & Analytics Senior Analyst will apply strategic and analytical skills to enterprise wide challenges. You will team up with professionals to identify actionable insights that ultimately impact the safety and soundness of the organization. You will work in a space that looks deeply into various risk assessment & emerging risk trends.

You will work in a collaborative environment that values your insight, encourages you to take on new responsibilities, promotes continuous learning, and rewards innovation with multi-disciplinary global team with a range of industry experiences and expertise.

Responsibilities:

The Data Intelligence & Analytics Senior Analyst must demonstrate critical thinking, analytical and problem-solving abilities, hands-on intelligence or data analysis skills, network analysis acumen, and intellectual curiosity is essential for data science tasks. The candidate must be able to apply these abilities to detect non-obvious risks or develop, test, and champion ideas to increase detection. The candidate should understand data science methods, and visualization techniques to leverage internal and external data to identify and develop ways to systemically detect financial crime risk.

Specifically, the candidate should:

  • Utilize features and algorithms to drive down false positives and identify financial crime threats across the firm.
  • Demonstrate an ability to apply curiosity and critical thinking in data mining, analytics, and derivative outputs.
  • Conduct data mining / query functions across relational or big data databases utilizing various data science tools and methods.
  • Supports global/regional internal SMEs; responsible for investigating and researching the Financial Crimes processes and tools identifying efficiency and effectiveness opportunities.
  • Supports global team members during feature and algorithm research, design, and implementation as needed.
  • Supports tactical and strategic initiatives and projects focused on financial crime detection.
  • Understand the regional or global implications and applicability of the recommendations.
  • Partner with and assist global resources ensuring the teams working cohesively and effectively to complete the research, analysis, and recommendation process.
  • Effectively communicate recommendations to stakeholders.
  • Conduct analysis employing available technology to identify patterns, red flags, or typologies of interesting behavior.
  • Synthesize information into knowledge by identifying relevant trends and issues.
  • Document and reference key facts uncovered during research and analysis process.
  • May support global and regional projects to include development, implementation and/or supply ongoing support for the recommended solution.
  • Support analytically necessary business solution documentation (BRD, TSD, etc.).
  • May participate in the development, testing, and training of new or enhanced tactical solutions or strategic system applications.

Qualifications:

  • 4-6 years’ experience utilizing data science tools and methods
  • Intermediate understanding & hands-on across Financial Crime ) AML / Fraud / Cyber / Sanctions / Corruption / Anti-Bribery Risks and Typologies) domain, as well as transaction monitoring processes used to mitigate these risks
  • Analytics experience in the financial crime domain is a plus.
  • Proven research and analytical skills, business acumen, strategic and creative thinking, project leadership skills and multi-tasking capabilities
  • Intermediate SQL skills using tools like Teradata, MS SQL, MySQL, Hadoop
  • Intermediate skills using tools like: Python, R, SAS or similar statistical applications
  • Experience with modeling is a plus.
  • Ability to analyze large sets of complex data, draw meaningful conclusions, and make recommendations based on analysis
  • Ability to handle multiple projects simultaneously in a fast-paced and dynamic financial services environment
  • Experience in developing documentation that meets the highest regulatory standards and audit requirements
  • Exceptional interpersonal and communication skills, in dealing with people at all levels of the organization both written and verbal.
  • Intellectual curiosity, passion for problem-solving, and comfort with ambiguity
  • Ability to thrive in a cross-functional environment while juggling multiple responsibilities
  • High energy and a desire to work in a results-oriented, fast growth environment

Preferred Skills:

  • Passionate and Committed
  • Ability to work with virtual users and a global team located in different hubs.
  • Track record of delivering projects within tight timelines.
  • Financial / banking background is a plus.
  • Experience in working with blockchain technology, digital assets, and cryptocurrencies is a plus.

Education:

Bachelor’s/University degree or equivalent experience

Master’s in data analytics / data science

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Job Family Group:

Operations - Core

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Job Family:

Operations Support

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Time Type:

Full time

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Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View the "EEO is the Law" poster. View the EEO is the Law Supplement.

View the EEO Policy Statement.

View the Pay Transparency Posting

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