6 days old

Data Science Senior Analyst

Warsaw, IN 46580
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 personal insights into solutions.

As a Data Intelligence & Analytics Lead Analyst, you will apply your strategic and analytical skills to enterprise-wide challenges. You will team with world-class 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 emerging risk trends and the business enablement opportunities that help fuel strategic decisions.

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.


The Lead Analyst must demonstrate critical thinking, analytical and problem-solving abilities, hands-on intelligence led data analysis skills, advanced analysis acumen, and intellectual curiosity is essential for the 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 be able to understand and apply advanced analytical 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:

+ Demonstrate an ability to apply curiosity and critical thinking and turn data mining, analytics, and derivative outputs / presentations into coherent business driven implementation proposals.

+ Utilize traditional statistical analytics, network and ensemble methods and text analytics.

+ Conduct data mining / query functions across relational or big data databases utilizing various tools and methods.

+ Supports and/or runs global/regional internal SMEs responsible for investigating and researching the Financial Crimes processes and tools identifying efficiency and effectiveness opportunities.

+ The role requires the ability to develop and effectively communicate recommendations to senior leadership.

+ May direct or participate in the development, testing, and training of new or enhanced tactical solutions or strategic system applications.

+ Head or participate in the training, development, mentoring of junior employees.

+ May be required to participate in Industry/SME Forums as applicable.

+ Head in conversation on Law Enforcement requests.


+ 4-6 years experience using advanced data analytical tools and methods

+ Exceptional SQL skills, day-to-day working with Teradata or Oracle, MS SQL, MySQL, Hadoop

+ Exceptional skills in using Python, R, SAS or similar statistical package

+ Knowledge and experience in statistical and ML models is a plus

+ Strong understanding & hands-on across AML Transaction Monitoring, Financial Crime domain (AML / Fraud / Cyber / Sanctions / Corruption / Anti-Bribery Risks and Typologies), as well as transaction monitoring processes used to mitigate these risks

+ Ability to analyze large sets of complex data, draw meaningful conclusions, and make business recommendations based on analysis

+ Experience in developing documentation and reports that meet the highest regulatory standards and audit requirements

**Preferred Skills:**

+ Exceptional interpersonal and fluent English communication skills both written and verbal

+ Strong research and analytical skills, business acumen, strategic and creative thinking, project leadership skills and multi-tasking capabilities

+ Track record of delivering projects within tight timelines.

+ AML Transaction Monitoring/Financial / banking background is a plus.


University degree/Master's, advanced Degree in Information Systems / Computer Science, Mathematics, Statistics / Econometrics, Physics, Data Science, or similar area.


**Job Family Group:**



**Job Family:**

Data Science


**Time Type:**

Full time


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 (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)** .

View the "EEO is the Law (https://www.dol.gov/sites/dolgov/files/ofccp/regs/compliance/posters/pdf/eeopost.pdf) " poster. View the EEO is the Law Supplement (https://www.dol.gov/sites/dolgov/files/ofccp/regs/compliance/posters/pdf/OFCCP\_EEO\_Supplement\_Final\_JRF\_QA\_508c.pdf) .

View the EEO Policy Statement (http://citi.com/citi/diversity/assets/pdf/eeo\_aa\_policy.pdf) .

View the Pay Transparency Posting (https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp\_%20English\_formattedESQA508c.pdf)
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.


Posted: 2022-05-13 Expires: 2022-06-12

Before you go...

Our free job seeker tools include alerts for new jobs, saving your favorites, optimized job matching, and more! Just enter your email below.

Share this job:

Data Science Senior Analyst

Warsaw, IN 46580

Join us to start saving your Favorite Jobs!

Sign In Create Account
Powered ByCareerCast