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Citigroup
Citigroup

Global investment banking and financial services

Business Analytics with Python/SQL and Gen AI

직무데이터 사이언스
경력미들급
위치GURUGRAM, India
근무오피스 출근
고용정규직
게시1개월 전
지원하기

필수 스킬

Python

SQL

Citi Analytics & Information Management (AIM) team is a global community that objectively connects and analyzes information, to create actionable intelligence for our business leaders. The Anti Money Laundering (AML) Financial Crime Data Analytics and Intelligence (FCDAI) analyst will be a part of AIM, based in Bangalore and reporting into the VP/SVP leading the team.

The scope of work includes all aspects of analysis performed by the team within different projects related to AML transaction monitoring using advanced statistical analysis and AI techniques. Analysts will work to translate data into consumer or customer behavioral insights to identify suspicious behavior and communicate clearly and effectively to business partners and senior leaders all findings. This role requires working closely with business partners based in other geographies that Citi operates in (e.g., NAM, APAC, and LATAM). 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.

Responsibilities:

  • Apply quantitative and qualitative data analysis methods; prepare statistical and non-statistical data exploration and advanced statistical analysis to identify suspicious customer behavior.
  • 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 adhoc data analysis. Design and maintain complex data manipulation processes. Provide consistent documentation and presentations.
  • Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment
  • Document solutions and present results in a simple comprehensive way to non-technical audience, as well as write more 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.

Qualifications:

  • 2-4 years of experience in Financial Services / Analytics Industry
  • Holds good exposure to AI and Gen AI tools and techniques
  • Good to have Agentic AI experience
  • Good Knowledge in Python, SQL, Hive
  • Masters in a numerate subject such as Mathematics, Operational Research, Business Administration, Economics etc. from Premier Institute or a track record of performance that demonstrates this ability.
  • Previous experience with financial services companies (retail banking, small business banking, commercial, institutional, private banking)
  • Strong statistics and data analytics academic background and knowledge of quantitative methods
  • Highly skilled and good knowledge of MS Excel. VBA experience is a plus
  • 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 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 of the scope of responsibilities.
  • Provide input into the innovation of new and enhanced approaches. Having initiative and a proactive attitude is desirable

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

Job Family Group:

Decision Management

Job Family:

Business Analysis

Time Type:

Part time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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 Citi’s EEO Policy Statement and the Know Your Rights poster.

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Citigroup 소개

Citigroup

Citigroup

Public

Citigroup Inc. or Citi is an American multinational investment bank and financial services company based in New York City. The company was formed in 1998 by the merger of Citicorp, the bank holding company for Citibank, and Travelers; Travelers was spun off from the company in 2002.

10,001+

직원 수

New York City

본사 위치

$86B

기업 가치

리뷰

10개 리뷰

3.7

10개 리뷰

워라밸

3.8

보상

2.5

문화

4.0

커리어

3.2

경영진

3.5

65%

지인 추천률

장점

Good work-life balance

Supportive management and colleagues

Good benefits

단점

Low or uncompetitive salary/pay

Long hours during peak times

Poor management and lack of direction

연봉 정보

48개 데이터

Mid/L4

Senior/L5

Mid/L4 · BUSINESS ANALYTICS SENIOR ANALYST

3개 리포트

$117,000

총 연봉

기본급

$120,800

주식

-

보너스

-

$117,000

$117,000

면접 후기

후기 3개

난이도

3.3

/ 5

소요 기간

14-28주

경험

긍정 0%

보통 33%

부정 67%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Panel/Group Interview

5

Final Round

6

Offer

자주 나오는 질문

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

Culture Fit