Fraud Business Analytics Senior Analyst

Citi•Tampa, FL

About The Position

Supports implementation of fraud risk strategies for consumer and commercial card businesses with decision engine systems in accordance with defined change control procedures and controls. Assist in the management of business requirements, testing, and implementation of projects impacting fraud decision systems as well as system incidents. Refine framework for change control risk assessment including evaluation of control gaps within existing processes. Support Governance process, evaluating historical performance and emerging changes in the environment. Build effective relationships within and outside the Fraud organization to help ensure successful and timely execution of key portfolio priorities. Identify data patterns & trends, and provide insights to enhance business decision making capability in business planning, process improvement, solution assessment etc. Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings Collaborate with cross-functional teams to provide strategy recommendations based on data and trend analysis and implement mitigation strategies. Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities Work closely with internal and external business partners in building, implementing, tracking, and improving fraud capture decision strategies. May be involved in exploratory data analysis, confirmatory data analysis and/or qualitative analysis Generate and manage regular and ad-hoc reporting to enable effective monitoring and identification of emerging trends. Bachelor's Degree required/Master's preferred in statistics, mathematics, physics, economics, or other (data) analytical or quantitative discipline. 4+ experience required 3+ years of experience in analytics, modeling, or relevant area in a Big Data environment with hands on coding within various traditional (SAS, SQL, etc.) and/or open source (i.e. Python, Impala, Hive, etc.) tools. Excellent quantitative and analytic skills; ability to derive patterns, trends and insights, and perform risk/reward trade-off analysis. Experience analyzing large datasets; applying mathematical, statistical and quantitative/data analysis techniques to perform complex analyses and data mining. Preferred Experience using traditional and advanced machine learning techniques and algorithms such as Logistic Regression, Gradient Boosting, Random Forests, etc. as well as Data visualization tools such as Tableau This position requires excellent analytical and business strategy skills Ability to build effective presentations to communicate analytical findings to a wide array of audiences Project and process management skills Effective cross-functional project, resource, and stakeholder engagement and management, with ability to effectively drive collaboration across teams. Ability to make decisions independently with minimal guidance from management. Experience with a prior focus in financial services analytics preferred Solid organizational skills and ability to manage multiple projects at one time Self-starter who also has a demonstrated ability to work successfully in team environment and drive Bachelor's Degree required in statistics, mathematics, physics, economics, or other (data) analytical or quantitative discipline. Master's Degree preferred.

Requirements

Bachelor's Degree required in statistics, mathematics, physics, economics, or other (data) analytical or quantitative discipline.
4+ experience required
3+ years of experience in analytics, modeling, or relevant area in a Big Data environment with hands on coding within various traditional (SAS, SQL, etc.) and/or open source (i.e. Python, Impala, Hive, etc.) tools.
Excellent quantitative and analytic skills; ability to derive patterns, trends and insights, and perform risk/reward trade-off analysis.
Experience analyzing large datasets; applying mathematical, statistical and quantitative/data analysis techniques to perform complex analyses and data mining.
This position requires excellent analytical and business strategy skills
Ability to build effective presentations to communicate analytical findings to a wide array of audiences
Project and process management skills
Effective cross-functional project, resource, and stakeholder engagement and management, with ability to effectively drive collaboration across teams.
Ability to make decisions independently with minimal guidance from management.
Solid organizational skills and ability to manage multiple projects at one time
Self-starter who also has a demonstrated ability to work successfully in team environment and drive

Nice To Haves

Master's Degree preferred in statistics, mathematics, physics, economics, or other (data) analytical or quantitative discipline.
Experience using traditional and advanced machine learning techniques and algorithms such as Logistic Regression, Gradient Boosting, Random Forests, etc. as well as Data visualization tools such as Tableau
Experience with a prior focus in financial services analytics preferred

Responsibilities

Supports implementation of fraud risk strategies for consumer and commercial card businesses with decision engine systems in accordance with defined change control procedures and controls.
Assist in the management of business requirements, testing, and implementation of projects impacting fraud decision systems as well as system incidents.
Refine framework for change control risk assessment including evaluation of control gaps within existing processes.
Support Governance process, evaluating historical performance and emerging changes in the environment.
Build effective relationships within and outside the Fraud organization to help ensure successful and timely execution of key portfolio priorities.
Identify data patterns & trends, and provide insights to enhance business decision making capability in business planning, process improvement, solution assessment etc.
Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings
Collaborate with cross-functional teams to provide strategy recommendations based on data and trend analysis and implement mitigation strategies.
Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities
Work closely with internal and external business partners in building, implementing, tracking, and improving fraud capture decision strategies.
May be involved in exploratory data analysis, confirmatory data analysis and/or qualitative analysis
Generate and manage regular and ad-hoc reporting to enable effective monitoring and identification of emerging trends.