Data Analyst

Insight Global is seeking a highly skilled

Risk Analyst

to support a leading financial institution’s Anti-Money Laundering (AML) strategy and analytics initiatives. This role is ideal for a technically strong candidate with a background in risk analytics, data mining, and model development. The successful candidate will be expected to work independently, demonstrate critical thinking, and contribute to the team’s operational and strategic goals.

Key Responsibilities

Develop and implement AML strategies and analytics to support compliance and risk mitigation.

Perform daily data analysis using

Python

and

SQL

to extract, cleanse, and interpret large datasets.

Leverage

SAS

and

Azure Cloud

for advanced analytics and reporting.

Apply

AI / ML modeling techniques

to enhance risk detection and decision-making processes.

Conduct market risk assessments and contribute to broader risk analytics initiatives.

Collaborate with cross-functional teams while maintaining ownership of assigned tasks.

Continuously refine and optimize AML analytics processes.

Required Skills & Experience

4+ years of experience in risk analysis, preferably within the financial industry.

Strong technical proficiency in

Python

(rate 8 / 10) and

SQL .

Hands‑on experience with

data mining ,

data cleansing , and

analytics .

Exposure to

AI / ML modeling , either through academic training or project work.

Familiarity with

SAS

and

Azure Cloud

environments.

Proven ability to work independently and apply critical thinking to solve complex problems.

Nice to Have

Master’s degree in Analytics or a related field.

Experience working in a regulated financial services environment.

Soft Skills & Team Culture

Strong communication and interpersonal skills.

Ownership mentality with a proactive and solution‑oriented mindset.

Collaborative and supportive team environment with a focus on mutual success.

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