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Sia

Financial Crimes & Compliance Analytics Senior Consultant

Sia, Bellevue, Washington, us, 98009

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Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We help clients initiate, navigate and benefit from transformation, mitigating downside and maximizing opportunity through a deep breadth of expertise across more than 40 sectors and services.

Our Technology Business Unit supports clients with digital, operations and organizational transformation. We provide solutions in compliance and risk management, strategic technology partnerships, data science, operations, business analysis and mergers and acquisitions.

Job Description

Our rapidly growing Management consulting firm seeks a highly skilled Senior Consultant with deep expertise in Financial Crimes, Anti–Money Laundering (AML), Know Your Customer (KYC), and Compliance Analytics. The ideal candidate will play a key role within our emerging Regulatory Technology (RegTech) practice, partnering closely with the Risk & Compliance Advisory team to design, test, and optimize cutting‑edge regulatory and compliance solutions for clients in Technology and Fintech industries.

This role focuses on supporting clients in mitigating financial crime risk by leveraging data‑driven insights, regulatory frameworks and advanced analytical tools. Senior Consultants will work with large, complex datasets to identify trends, anomalies, enhance monitoring systems, and ensure compliance programs are both effective and efficient.

You will collaborate with top‑tier Technology clients—helping them detect, prevent, and respond to financial crime risks using data, technology, and regulatory expertise.

Key Responsibilities

Partner with clients to assess and enhance their financial crime compliance frameworks, including AML, KYC, sanctions screening, transaction monitoring, and fraud prevention.

Develop and execute advanced SQL queries to extract, transform, and analyze large datasets related to customer due diligence, suspicious activity monitoring, and regulatory reporting.

Support model calibration, validation, and tuning for financial crime detection and compliance monitoring systems.

Leverage data analytics tools (Python, Tableau, Power BI, Alteryx) to identify risk patterns, gaps, and control deficiencies across compliance programs.

Design and implement data governance and quality control processes to ensure the integrity and consistency of compliance data.

Collaborate with technology, legal, and compliance stakeholders to develop and enhance end‑to‑end financial crime management systems.

Create and maintain methodologies, documentation, and dashboards for ongoing monitoring, reporting, and model performance assessment.

Stay abreast of emerging regulations, typologies, and industry trends in financial crimes, AML, and RegTech innovation.

Provide actionable recommendations to improve operational efficiency, risk mitigation, and regulatory compliance outcomes.

Qualifications

Required

Bachelor’s degree required; MBA or master’s preferred in Business, Finance, Data Analytics, or related field.

Proficiency in data analytics tools and programming languages (SQL, Python, R, SAS).

Experience with data visualization platforms (Tableau, Power BI, Qlik).

Fintech, Technology, or Financial Services Consulting experience.

5+ years in one or more of the following: AML / Financial Crimes Compliance, KYC / Customer Due Diligence, Transaction Monitoring / Sanctions Screening, Regulatory Technology or Data Analytics in a compliance context.

Deep understanding of financial crimes regulations (Bank Secrecy Act, USA PATRIOT Act, OFAC sanctions, FinCEN requirements or equivalent international standards).

Knowledge of typologies and red flags associated with money laundering, terrorist financing, and fraud.

Proven ability to analyze complex datasets and translate findings into strategic recommendations.

Strong communication skills, capable of collaborating across technical and non‑technical teams.

Preferred

Familiarity with transaction monitoring systems (Actimize, SAS AML, Fiserv, etc.).

Strong understanding of relational databases and data warehousing concepts.

Experience with machine learning and predictive modeling techniques.

Understanding of regulatory expectations for model risk management and model validation.

Experience working with regulatory agencies.

Knowledge of emerging technologies in financial crimes (AI/ML, blockchain analytics, network analysis).

Experience with cloud platforms (AWS, Azure, GCP).

Familiarity with Agile methodologies and DevOps practices.

Additional Information

Compensation & Benefits

Annual base salary starting at $128,000, commensurate with experience and qualifications.

Annual performance‑based discretionary bonus.

Robust Health Coverage

3 medical plans.

Dental and vision.

Life, AD&D and other voluntary insurance.

Tax‑Advantaged Accounts

401(k) retirement plan, 4% matching, 100% vested upon enrollment.

Health Savings Account (HSA).

Flexible Spending Account (FSA).

Health, dependent‑care, commuter accounts.

Family Friendly Benefits

100% paid parental leave for new parents with eligible tenure.

Building Healthy Families program if enrolled through medical plan.

Time Off to Recharge

Generous Paid Time Off (PTO) policy.

9 company holidays plus 1 floating holiday.

Extras that Make Life Easier

College savings and student loan repayment assistance.

Monthly cell phone stipend.

Access to wellness programs at no cost if enrolled through medical plan, including gym membership reimbursement, LiveHealth online virtual care, personalized support from a Well‑being Coach.

Employee Assistance Program at no cost: free confidential counseling, on‑demand emotional well‑being resources.

Diversity, Equity, Inclusion & Belonging

At Sia, we foster a diverse, equitable, and inclusive culture where employees and partners feel belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion.

Office Workplace Guidelines

Sia is committed to a flexible workplace environment. Consultants located in our primary market office locations—New York City, Charlotte, Seattle, and San Francisco—are expected to live within reasonable commuting distance and attend the office at least three days per week.

Work Authorization & Sponsorship

At this time, Sia does not intend to employ any applicant who will require employment visa sponsorship or work authorization.

Seniority Level

Mid‑Senior Level

Employment Type

Full‑time

Job Function

Consulting

Sia is an equal opportunity employer. All aspects of employment are based solely on performance, competence, conduct, or business needs.

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