Citi’s Global Legal Affairs and Compliance (GLAC) empowers and protects Citi by providing legal, compliance, investigative, and security services to our firm. We manage compliance risk, provide legal analysis and advice, protect Citi’s people and businesses, advocate for legal and regulatory outcomes that benefit our firm and our clients, and ultimately promote behavior that is consistent with Citi’s mission and culture.

The Execution Intermediate Analyst is an intermediate position responsible for performing risk and compliance reviews in coordination with the broader Anti-Money Laundering (AML) team. The overall objective is to utilize in-depth AML knowledge to review, analyze and conduct effective due diligence and investigations on higher risk cases that may be a potential risk to Citi.

Responsibilities:

• Conduct investigations and research on potentially suspicious clients using various internal and external systems and databases
• Conduct Cross Sector reviews among multiple Citi business lines.
• Document and report the review/investigation findings and prepare case files with the required supporting documentation
• Summarize, in writing, clear and concise findings of the investigation
• Advise senior management on next steps and provide recommendations on the next course of action (relationship retention, termination, Suspicious Activity Report (SAR))
• Manage risk by analyzing the root cause of issues and impact to business
• Has the ability to operate with a limited level of direct supervision.
• Can exercise independence of judgement and autonomy.
• Acts as Subject Matter Expert (SME) to senior stakeholders and /or other team members.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
• Participate in industry project where assigned

Qualifications:

• 2-5 years’ relevant experience
• Knowledge of AML regulations preferred
• Proficient in Microsoft (MS) Office
• Excellent verbal and written communication skills
• Demonstrated analytical skills

Education:

• Bachelor’s/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Job Description

SIA has multiple positions for senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities include:

• Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
• Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
• Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to production cloud.
• Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
• Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
• Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• 2 or more years of relevant industry experience as a hands-on data scientist/AI engineer in shallow and deep learning (you should be very familiar with most topics covered in the free undergraduate textbook by Gareth James, “An Introduction to Statistical Learning – with Applications in Python”, 2023). Additional exposure in some of the following areas is a plus:

1. Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
   
2. Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
   
3. Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.
   

• Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Good interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

Citi’s Global Legal Affairs and Compliance (GLAC) empowers and protects Citi by providing legal, compliance, investigative, and security services to our firm. We manage compliance risk, provide legal analysis and advice, protect Citi’s people and businesses, advocate for legal and regulatory outcomes that benefit our firm and our clients, and ultimately promote behavior that is consistent with Citi’s mission and culture.

The Execution Intermediate Analyst is an intermediate position responsible for performing risk and compliance reviews in coordination with the broader Anti-Money Laundering (AML) team. The overall objective is to utilize in-depth AML knowledge to review, analyze and conduct effective due diligence and investigations on higher risk cases that may be a potential risk to Citi.

Responsibilities:

• Conduct investigations and research on potentially suspicious clients using various internal and external systems and databases
• Conduct Cross Sector reviews among multiple Citi business lines.
• Document and report the review/investigation findings and prepare case files with the required supporting documentation
• Summarize, in writing, clear and concise findings of the investigation
• Advise senior management on next steps and provide recommendations on the next course of action (relationship retention, termination, Suspicious Activity Report (SAR))
• Manage risk by analyzing the root cause of issues and impact to business
• Has the ability to operate with a limited level of direct supervision.
• Can exercise independence of judgement and autonomy.
• Acts as Subject Matter Expert (SME) to senior stakeholders and /or other team members.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
• Participate in industry project when assigned

Qualifications:

• 2-5 years’ relevant experience
• Knowledge of AML regulations preferred
• Proficient in Microsoft (MS) Office
• Excellent verbal and written communication skills
• Demonstrated analytical skills

Education:

• Bachelor’s/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Job Description

The successful candidate will be part of the IT Service Management team. This is an individual contributor role.

Key Responsibilities include:

• Manage, develop, enhance and support company’s IT Service management platform. Drive strategic development and enhance its usability and integration with other tools and process to maximise value.
• Drive IT Operational Service Delivery and management activities, e.g. Incident, Problem, Change, Patch, Configuration and Asset management processes. This includes support of IT operational incidents after office hours.
• Support management and drive collaboration of day to day operational activities across various towers and stakeholders from datacentre facilities, network and platforms
• Manage and drive the IT Service Provider’s performance for IT Operations and ensure Service Level Agreements have been fulfilled and improvement plans to be established
• Serve as the Point of Contact for IT initiatives’ performance, services and changes.
• Facilitate system and service handover to the IT operations for any new applications and major enhancements
• Any relevant ad-hoc duties

Requirements

• Degree in IT related discipline & IT Infrastructure Library (ITIL) Certification
• Minimum 5 – 8 yrs of relevant experience in IT Infrastructure Operations and IT Service Management
• Experienced in project management for IT Infrastructure initiatives, scripting, system admin capabilities, service automation and related technologies.
• Knowledge of actual development and Hands-on administration on ServiceNow Platform. Certification in ServiceNow ITSM CAS, CAD or CIS preferred
• Knowledge in scripting on Json, Python or Javascript on Monitoring / Orchestration platforms, Splunk, ServiceNow or APM tool will be an added advantage
• Working knowledge on network, IT DevOps technologies, Linux, Wintel, VMware and Cloud technologies (AWS / Azure)
• Knowledge and experience in DevOps and Agile
• Responsive to dynamic environment
• Effective & Excellent Skills in Communication (both written and spoken) as well as Vendor and People/Relationship Management
• User-Oriented with good appreciation of business operations
• Diligent and willing to work beyond office hours
• Independent, Self-motivated and result driven

Proven experience as a Business Analyst in the wealth management sector, with a deep understanding of investment products, portfolio management, financial planning, and client servicing.

8+ years of experience in investment products and business solution analysis, preferably in the financial services industry. Experience with technology platforms is beneficial, but not a primary requirement.

Strong analytical skills with the ability to collect, analyze, and interpret complex data from various sources.

Solid knowledge of wealth management industry trends, including regulatory requirements, digital transformation, and evolving client expectations.

Excellent communication skills, both verbal and written, with the ability to present complex concepts in a clear and concise manner.

Strong problem-solving abilities, with a focus on identifying creative and innovative solutions.

Experience working in an agile development environment and familiarity with agile methodologies.

Proficiency in using business analysis tools, project management software.

Ability to work independently, manage multiple priorities, and thrive in a fast-paced, dynamic environment.