Financial Crimes Compliance Engineering – Data Analyst, FCC Engineering

Goldman Sachs • Dallas, TX

1d

About The Position

The Goldman Sachs Compliance Division prevents, detects and mitigates regulatory
and reputational risk across the firm, and helps to strengthen the firm's
culture of compliance. As an independent control function and part of the firm's
second line of defense, Compliance:

Assesses the firm's compliance, regulatory and reputational risk
Monitors for compliance with new or amended laws, rules and regulations
Designs and implements controls, policies, procedures and training
Conducts independent testing
Investigates, surveils and monitors for compliance risks and breaches
Leads the firm's response to regulatory examinations, audits and inquiries

Compliance Engineering empowers these activities by building and operating a
suite of software platforms and applications. We are a team of more than 300
engineers and scientists who work on the most complex, mission-critical
problems. We have access to the latest technology and to massive amounts of
structured and unstructured data. We leverage modern frameworks to build
responsive and intuitive UX/UI and Cloud applications, incorporating
cutting-edge AI and efficient processes to drive them.

Compliance Engineering user base spans thousands of users globally. We partner
with Compliance Officers across divisions, to fully understand the financial
products, business strategies, and regulatory regimes. This knowledge enables us
to build long-lasting software solutions, and to innovate with a purpose.

Compliance Engineering is looking to fill a Data Analyst role within FCC
Engineering.

The Financial Crimes Compliance (FCC) Engineering, under Global Compliance, is
responsible for Architecture, Design, Development and Implementation of
best-in-class software solutions to ensure compliance with regulatory mandates
and mitigate any reputational and related risks to the firm. A key component of
second line of defense for the firm, FCC Engineering builds and maintains
technology solutions for Know Your Customer (KYC), Anti-Money Laundering
Detection (AML Monitoring), Sanctions Screening, Anti-Bribery and Corruptions
and all other related FCC areas.

With constantly changing regulatory and technology landscape, FCC engineering
strives to stay ahead of the curve through continuous innovation.

As a Data Analyst within FCC engineering, you will be a hands-on contributor
responsible for developing and supporting scalable FCC data solutions. You will
work closely with architects, product partners and compliance stakeholders to
implement end-to-end FCC data strategies, curate high quality single source of
truth databases and support the development of ML/AI capabilities on
AWS/Snowflake and related Cloud ecosystem. This role is implementation heavy and
expects strong engineering ownership from design through production support.

Requirements

• A bachelor’s or master’s degree in computer science, engineering, data science, or a similar field of study.
• 5-9 years of hands-on experience with data engineering, ETL development, and data warehousing.
• Solid experience with Big Data/Cloud Engineering and distributed processing (Batch and streaming concepts).
• Hands-on experience with AWS (Data platforms, Compute, Storage, Security, Process Orchestration and CI/CD).
• Proficient hands-on experience with Snowflake including Snowpark, Snow SQL, RBAC, Masking and Snowsight.
• Experience in implementing controls framework for enterprise-wide complex data and applications landscape.
• 2-4 years of experience in financial crimes compliance or a related data-intensive field within a global organization.
• Hands-on experience with enterprise solutions development using Python for data manipulation and scripting.
• Familiarity with Large Language Models (LLMs) and their potential application in data analysis or compliance.
• Excellent communication, negotiation and stakeholder engagement skills to create consensus and build collaborative relationships.

Responsibilities

• Contributes to the design, development, and maintenance of data pipelines and ETL processes for financial crimes compliance applications, ensuring data synchronization with production systems.
• Assist in the development and maintenance of data products for the “Single Source of Truth” financial crimes compliance data fabric, including on-prem and cloud storage and real-time/batch compute.
• Support the implementation of storage and compute separation with true data federation to avoid data duplication, eliminate compute resource conflict and ensure cloud-native architecture.
• Assist in the development and implementation of innovative AI/ML solutions for proactive management of financial crimes compliance risks.
• Support cloud migration strategies for financial crimes compliance applications.
• Support the implementation and monitoring of controls for completeness, accuracy and timeliness of data, integrations and applications availability and performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level