3 Control Activities Jobs

The Securities & Derivatives Analyst 2 position is an intermediate level role where you will be responsible for processing orders and transactions originating from trading desks and branch offices in coordination with the Operations - Transaction Services team. Your main objective will be to facilitate the clearance, settlement, and investigation of client securities and derivatives transactions. As a Securities & Derivatives Analyst 2, your responsibilities will include processing securities transactions, providing analytic input for traders, reviewing derivative products, identifying and resolving settlement issues, and making process improvement recommendations. You will also analyze reports, monitor for errors, escalate issues when necessary, design reports, assist with control activities, and ensure adherence to audit and control policies. To qualify for this role, you should have 0-2 years of relevant experience, a fundamental understanding of Treasury products, accounting, and regulatory policies, proven ability to handle multiple activities in a high-risk environment, ability to work in a fast-paced setting, and knowledge of macros. A Bachelor's Degree or equivalent experience in Business, Accounting, or Finance is required. This job description provides an overview of the primary responsibilities and qualifications for the Securities & Derivatives Analyst 2 position. It is important to note that additional job-related duties may be assigned as needed. Citi is an equal opportunity and affirmative action employer, and invites all qualified interested applicants to apply for career opportunities. If you require a reasonable accommodation due to a disability when using our search tools or applying for a job, please review the Accessibility at Citi guidelines. Please note that the above job description is subject to change, and other related duties may be assigned as required.,

The Citi Analytics & Information Management (AIM) team, a global community, objectively connects and analyzes information to create actionable intelligence for business leaders. In partnership with the businesses, the team identifies fact-based opportunities for revenue growth and expense reduction. As a C12 (Individual Contributor) AVP within the Retail Bank Fraud Analytics team in Citi AIM, your primary focus will be to analyze transaction data, understand fraud patterns, and develop fraud loss mitigation strategies to minimize fraud losses and customer impact. You will be responsible for monitoring strategy performance, collaborating with the strategy implementation team, and proactively leveraging new data sources and advanced analytics techniques for fraud loss mitigation. Your role entails hands-on analysis on a regular and ad hoc basis, extracting various data sources, generating fraud risk insights, recommending business solutions, and monitoring strategy performance. It is essential to have a holistic view of different retail banking products, integrate analytical thinking with business knowledge, and utilize data analysis tools and methodologies to develop client-centric solutions. Proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling is required, along with expertise in decision tree (CHAID/CART), Logistic Regression, exploratory data analysis, SAS, SQL, Hive, Impala, and Excel. Knowledge of Python is desirable, and prior experience in Fraud Analytics is preferable. Familiarity with Tableau or any other data visualization tool is also advantageous. Experience in stakeholder management across functions and regions is necessary to translate data into consumer or customer behavioral insights, drive targeting and segmentation strategies, and effectively communicate with business partners and senior leaders. Strong presentation skills are essential for delivering clear presentations to share thoughts, solutions, or problems with stakeholders and senior management. Project management skills are required to create project plans, assign responsibilities, complete projects in a timely manner, and manage and report control issues transparently. You will be expected to support regulatory/audit activities and other risk and control activities as needed. Qualifications: - 8+ years of analytics experience, preferably in Fraud analytics - Advanced analytical and business strategy skills - Effective communication skills - Ability to present to business partners and leaders - Project and process management skills - Excellent written and verbal communication skills - Experience in financial services analytics - Strong organizational skills and ability to manage multiple projects simultaneously - Self-starter with the ability to work successfully in a team environment Education: - Bachelors/University degree or equivalent experience (Masters degree preferred),

Citi Analytics & Information Management (AIM) team is a global community that objectively connects and analyzes information to create actionable intelligence for business leaders. As a C12 (Individual Contributor) AVP within the Fraud Analytics team in Citi AIM, your primary focus will be on analyzing transaction data, understanding fraud patterns, and developing fraud loss mitigation strategies to minimize fraud losses and customer impact. You will be responsible for monitoring strategy performance, collaborating with the implementation team, and proactively leveraging new data sources and advanced analytics techniques for fraud loss mitigation. You will be expected to conduct hands-on analysis on a regular and ad hoc basis, extract various data sources beyond transactions, generate fraud risk insights, recommend business solutions, and monitor strategy performance. Proficiency in Logistic Regression/ ML Model development, regardless of the programming language, is essential. Your role will require thought leadership in designing, developing, and implementing Machine Learning solutions. Having a holistic view of retail banking products, best practices, and integrating analytical thinking with business knowledge is crucial. Experience in analytics within the BFSI domain, proficiency in basic statistics, hypothesis testing, segmentation, and predictive modeling are necessary. Strong skills in SAS, SQL, Hive, Impala, and Excel are expected, with knowledge in Python being desirable. Previous experience in Fraud Analytics and familiarity with Tableau or other data visualization tools are advantageous. Stakeholder management across various functions and regions, translating data into consumer insights, effective communication with business partners and senior leaders, and delivering clear presentations are key aspects of the role. You will also be responsible for project management, including creating project plans, assigning responsibilities, completing projects in a timely manner, and supporting regulatory/audit activities and risk control efforts when required. Qualifications: - 8+ years of analytics experience, including model development, with prior Fraud analytics experience preferred - Good knowledge of Python, SQL, and Big Data, with familiarity in ML/DL applications like Keras, TensorFlow, Python Scikit - Advanced analytical and business strategy skills - Effective communication and presentation skills - Project and process management abilities - Experience in financial services analytics - Strong organizational and multitasking skills - Self-starter with a collaborative team spirit Education: - Bachelors/University degree or equivalent experience, Masters degree preferred In this role, you will be part of the Decision Management job family, focusing on Specialized Analytics (Data Science/Computational Statistics) on a full-time basis. If you require accommodation due to a disability, review the Accessibility at Citi guidelines. For information on Citi's EEO Policy Statement and Know Your Rights, refer to the provided resources.,