C10 - AML SDE analyst

Job Description

The Spec Analytics Analyst 1 is a trainee professional role. Requires a good knowledge of the range of processes, procedures and systems to be used in carrying out assigned tasks and a basic understanding of the underlying concepts and principles upon which the job is based. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Makes evaluative judgements based on the analysis of factual information. They are expected to resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Must be able to exchange information in a concise way as well as be sensitive to audience diversity. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own job.
Responsibilities:

• Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
• Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
• Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
• Incumbents in this role may often be referred to as Data Scientists
• Specialization in marketing, risk, digital and AML fields possible
• 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.

Qualifications:

• Previous related experience preferred
• Have the ability to retrieve and manipulation data
• Working experience in a quantitative field
• Possess analytic ability and problem solving skills
• Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment

Education:

• Bachelors/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.

About Citi Analytics & Information Management (AIM)

Citi Analytics & Information Management team is a global community that objectively connects and analyzes information, to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth and expense reduction in partnership with the businesses. The function balances customer needs, business strategy, and profit objectives using best in class and relevant analytic methodologies. To accomplish this, the group focuses on linkages of information, tools and analytics.

Role Outline/Job Summary

The role of Anti Money Laundering (AML) Scenario Development & Enhancement (SDE) Statistician is part of Strategic Business Solutions group of Analytics & Information Management (AIM), based in Bangalore / Pune and reporting into the AVP / VP leading the team.

The scope of work includes all aspects of analysis performed by the team within different projects: Threshold Tuning, Segmentation, Tactical Tuning tasks, and data modeling/validation efforts depending on current needs and project plans. A primary area of focus for this position will be working on threshold tuning for Optimization, Tactical Tuning projects and some aspects of Segmentation modeling, while maintaining the flexibility to switch amongst work streams based on business needs.

The SDE statistician will follow the globally consistent methodology and should have a high level of initiative, creativity to suggest enhancements to the current methodologies. The role requires working closely with business partners based in other geographies that Citi operates in (e.g., U.S., APAC, EMEA).

Requirements include a background in analysis using databases, warehouses, data processing; experience with statistics and data mining. Experience and knowledge in banking and finance especially in the AML area will be a plus. In addition, the ability to read and create formal documentation is highly desirable.

ROLE & RESPONSIBILITIES

Business/ Department Objectives:Citi Analytics & Information Management team connects and analyzes information, to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth and expense reduction in partnership with the businesses. The function balances customer needs, business strategy, and profit objectives using best in class and relevant analytic methodologies.

Core Responsibilities:

• Conduct data-driven analysis and create reports. Apply quantitative and qualitative data analysis methods; prepare statistical and non-statistical data exploration and advanced statistical analysis to support the threshold tuning or segmentation work streams.
• Validate data, identify data quality issues (if any), and work with Technology to address them. Analyze and interpret data reports, draw conclusions and make recommendations answering specific business needs.
• Automate data extraction and data preprocessing tasks. Perform ad hoc data analyses. Design and maintain complex data manipulation processes. Provide consistent documentation and presentations.
• Document solutions and present results in a simple comprehensive way to non-technical audience, as well as write formal documentation using statistical vocabulary.
• Generate new ideas, concepts and models to improve methods of obtaining and evaluating quantitative and qualitative data. Identify relationships and trends in data, as well as any factors that could affect the results of research. Question and validate assumptions. Escalate identified risks and sensitive areas in terms of methodology and processes.

Key Deliverables: The scope of work includes all aspects of analysis performed by the team within different projects: Threshold Tuning, Segmentation, Tactical Tuning tasks, and data modeling/validation efforts depending on current needs and project plans. A primary area of focus for this position will be working on threshold tuning for Optimization, Tactical Tuning projects and some aspects of Segmentation modeling, while maintaining the flexibility to switch amongst work streams based on business needs.

Education: Masters in a numerate subject such as Mathematics, Operational Research, Business Administration, Economics etc. from Premier Institute or a record of accomplishment of performance that demonstrates this ability.

Experience:

Required: 3-6 Yrs. Experience in Analytics Industry, Experience with statistical modelling

Preferred: Previous experience with financial services companies (retail banking, small business banking, commercial, institutional, private banking); Mantas and AML monitoring systems experience or other transaction monitoring systems a plus; Knowledge of the local/regional laws and regulations applicable to anti-money laundering

Skills:

• Strong statistics and data analytics academic background and knowledge of quantitative methods
• Good knowledge of SAS, SQL, Hive, and/or other data processing languages (Knowledge of R is a plus)
• Highly-skilled and good knowledge of MS Excel and VBA experience
• Experience in reporting the results of analysis in clear written form, and in presenting the findings during meetings and conference calls
• Team working experience (demonstrated team player ability required)
• Understanding of technical requirements, ability to communicate with Technical Support
• Very good written and verbal communication ability in an educational style. Ability to express thoughts and concepts clearly.
• Ability to work well with a variety of people and to show team-player attitude regardless the scope of responsibilities.
• Provide input into the innovation of new and enhanced approaches. Having initiative and a proactive attitude is desirable

Other:

• Must have: Statistical/data analytical skills - including both calculation and interpretation of outcome
• Methodical analysis and problem-solving skills
• Initiative, creativity and attention to detail are essential
• Ability to work under close supervision of senior team member, while preserving independence of thinking and responsibility for the results.
• Ability to discuss reasoning, critical assessment of facts and opinions; ability of giving comprehensive answers and arguments
• Conceptual and creative thinking (outside the box)
• Demonstrated ability to communicate effectively, both orally and in writing, through all levels of the organization and through different business units
• Self-motivated with high desire of self-development and learning
• Must be able to coordinate and deal with conflicting time demands

Percentage of Travel: 0%

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