below marketmost similar roles pay hereabove market
This role pays more than
58%
of similar roles. Most pay
$201,812–$263,087
— the blue band above.
At the midpoint, this role pays about
$235k
versus about
$232k
for comparable roles.
Based on 240 similar postings.
Employer
About Citi
Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.
Citi currently has
264 open roles
on FindRole.
Listed pay typically runs
$125,760–$188,640
across 247 roles with salary data.
JOB TITLE: Head of Enterprise KYC Technology Risk Engine Development- Director
The Head of Enterprise KYC Technology Risk Engine Development- Director leads the engineering teams within the Enterprise KYC group responsible for the design, development, and operational excellence of Customer Risk Scoring and Decisioning Engines. This leader oversees the end-to-end software development lifecycle for real-time and batch calculation engines that evaluate customer risk across the KYC, CDD, EDD, and AML lifecycles. Key responsibilities include architecting high-throughput, low-latency microservices, designing stream-processing architectures, and productionizing predictive models with quantitative teams. The role requires expertise in distributed systems, event-driven architecture, and Finargo. The position solves the technical challenge of delivering accurate, explainable, and audit-compliant risk scores for client onboarding and continuous monitoring while ensuring deterministic reproducibility for regulatory inquiries and internal control functions.
Lead the end-to-end software development lifecycle for core KYC risk calculation engines and scoring platforms.
Architect high-throughput, low-latency microservices to execute multi-factor customer risk algorithms in real-time and batch modes.
Design stream-processing architectures to ingest real-time customer data, sanctions alerts, and transactional signals.
Partner with data science teams to productionize predictive models and machine learning algorithms for risk scoring.
Ensure all scoring engines provide algorithmic explainability and deterministic reproducibility for regulatory and internal audits.
Develop standardized APIs to integrate risk engines with onboarding portals, relationship manager tools, and case management systems.
Build secure connectors to internal reference databases and external RegTech data sources.
Manage and mentor a high-performing team of software engineers, data engineers, and QA automation specialists.
What we're looking for
10 or more years of experience leading distributed, high-throughput engineering within KYC, anti-money laundering, or broader risk-decisioning technology.
Proven expertise in KYC technology management and hands-on proficiency with Finargo.
Experience delivering stream-processing and event-driven architectures that support low-latency, real-time service design.
Proven track record of partnering with data science and quantitative teams to move risk and scoring models from research into live production systems.
Deep understanding of the KYC, CDD, EDD, and AML lifecycle and how risk scoring connects to onboarding and case management systems.
Experience building scoring systems that deliver algorithmic explainability, reconciliation, and audit-readiness for regulators and internal control functions.
Bachelor’s/University degree or equivalent experience (Master’s degree and managerial experience preferred).
Python
Java
Cloud-native
Micro-services
DevSecOps
SDLC
API
Linux
Unix
Agile
Data Visualization
Workflow Automation
System Integration
Object-oriented programming
Functional programming
Data Structures
Scripting
Cybersecurity
Risk Management
Cloud Computing
AWS
GCP
Azure
Identity and Access Management
Application Security
Data Protection
Infrastructure as Code
Site Reliability Engineering
Chaos Engineering
Data Analytics
Excel
Google Sheets
CISSP
CISA
CRISC
Open FAIR