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About This Role
Description:
Title: AML/CFT and Compliance/CRA Associate
Department: Risk Management
Reports To: AVP/AML/CFT and Compliance/CRA Officer
FLSA Status: Exempt
Type of Position: Full\-time, Hybrid Optional
JOB SUMMARY
As AML/CFT Associate (fka BSA), this person will assist in the oversight, authority, monitoring, and governmental and regulatory reporting related to the policies and program of the Anti\-Money Laundering (AML) / Countering the Financing of Terrorism (CFT) / Customer Identification Program (CIP) / Office of Foreign Asset Control (OFAC), and Suspicious Activity Reporting (SAR), all activities formerly known as Bank Secrecy Act (BSA) duties. The AML/CFT Associate may also assist with training recommendations for the front line and assist with annual reporting for the Board of Directors.
As Compliance/CRA Associate, this individual will assist with ensuring the bank complies with all banking laws and regulations, with specific emphasis on the consumer protection regulations, and the testing of the Bank’s compliance program, including recommendations for training and the implementation of regulatory changes throughout the organization. This individual will also be responsible for the annual collection, validation, and reporting of the Bank’s HMDA data to the Consumer Financial Protection Bureau (CFPB) prior to the established deadline. This individual will assist with the quarterly gathering and monitoring of all Community Reinvestment Act (CRA) data which will be reported to the Board.
DUTIES AND RESPONSIBILITIES (Other duties may be assigned.)
AML/CFT/CIP/OFAC/SAR:
1\. Will be considered the primary back\-up to the AML/CFT Officer.
2\. Assist with the implementation of the AML/CFT/CIP/OFAC/SAR program throughout the organization and with adherence of bank policy and government regulations.
3\. Recommend continuing education opportunities for independent study related to the AML/CFT/CIP/OFAC/SAR regulations.
4\. Assist with ongoing program training for all employees as well as new process implementation throughout the organization.
5\. Research issues and questions to provide supported responses regarding the AML/CFT/CIP/OFAC/SAR, especially related to new product and service implementation.
6\. Verify core data (RIM) information upon account opening and assist with monitoring account activity as described in the AML/CFT/CIP/OFAC/SAR policies and regulations.
7\. Review CTRs and verify the validity of each report.
8\. Assist with the investigation of SAR referrals and make a recommendation when a SAR may or may not be necessary.
9\. Assist with the verification of the customer database against the 314a list.
10\. Assist with the assembly of AML/CFT\-related information for audits and examinations.
Compliance/CRA:
1\. Responsible for the bank’s HMDA submission program throughout the organization and be considered the subject matter expert to assist with HMDA related questions.
2\. Assist with the collection of all reportable CRA data for the institution reported quarterly to the Board of Directors.
3\. Assist the Compliance Officer with the adherence with bank policy and government regulations, with specific emphasis on the consumer protection laws, including, but not limited to, TRID, RESPA, Flood, Regulation CC, Truth in Savings, Fair Lending\-Fair Housing and ECOA.
4\. Recommend continuing education opportunities for independent study related to consumer compliance regulations.
5\. Research issues and questions to provide supported responses regarding compliance matters, especially related to new product and service implementation.
6\. Assist with the review of marketing material, website data, notices, and other consumer contact information for regulatory compliance.
7\. Review loan, deposit, and other consumer disclosures for regulatory compliance.
8\. Review the content of all consumer notices for completeness, regulatory compliance, and appropriate support.
9\. Assist with the assembly of compliance\-related information for audits and examinations.
10\. Serve as a non\-voting member of the Risk Management Committee.
WORKING CONDITIONS
The role is a full\-time position, working a minimum of 40 hours per week, Monday\-Friday, 8 AM to 5 PM. Office may be located at any of the bank's facilities, and a hybrid or remote working arrangement may be considered. Noise levels may vary. The duties of the job may require the employee to stand, walk, use hands, and feel objects, tools, or controls, reach with hands, arms and talk or hear. Ability to lift up to 25\-pounds. Vision abilities include close vision, distance vision, peripheral vision, depth perception and the ability to focus. Some travel is necessary.
COMPENSATION AND BENEFITS
The annual base salary for this position is $60,000 \- $65,000\. In addition to base salary, the position is eligible for an annual discretionary bonus. Actual compensation offered will vary based on factors such as the candidate’s relevant skills, experience, education, and geographic location. We take a holistic approach during the hiring process to understand each candidate’s background and align compensation appropriately, ensuring internal equity while allowing flexibility to recognize unique qualifications or expertise. We also offer a 401(k) plan featuring a discretionary employer match in bank stock, along with a comprehensive benefits package. More information about our generous employee benefits can be found on our Career Page at https://trustbank.net/company/career\-opportunities.
CORE VALUES
Embrace and promote the TrustBank culture and core values in all aspects of your duties. Strictly manage and protect sensitive information to which you are entrusted.
DISCLOSURES
TrustBank recognizes that people are our bank’s strength, and we place a high value on diversity and inclusion. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs. The best talent will acquire the position. This job description may be subject to change and is not intended to be all\-inclusive. The employee may perform other related duties to meet the ongoing needs of the organization. Equal Opportunity Employer/Disability/Veterans
*Updated March 23, 2026*
Requirements:
EDUCATION, EXPERIENCE, and QUALIFICATIONS
- Minimum of Associate Degree, prefer Bachelor’s Degree in business\-related study.
- Minimum three years prior experience in bank operations, deposit account opening, mortgage lending, or loan operations.
- Formal bank\-related training or certifications are helpful.
- Continuing education for career development is necessary to meet position expectations.
REQUIRED SKILLS AND ABILITIES
- Excellent ability to read, interpret, and apply government laws and regulations.
- Strong ability to write reports and clearly communicate with the Executive Leadership Group, coworkers, and clients, both in verbal and written formats.
- Strong ability to analyze and interpret data and form conclusions.
- Ability to work productively, efficiently, and independently with minimal supervisory overview.
- Multi\-tasking ability with strong attention to detail and time management.
- Ability to recognize issues of significance, prioritize accordingly, and appropriately clarify.
- Must work well in a team environment executing with cooperation, professionalism, dependability, and mindfulness.
- Friendly, accommodating, and helpful interpersonal skills and demeanor.
TECHNICAL SKILLS
Ability to utilize Microsoft 365 applications and collaboration tools. Specifically, must have a strong knowledge of Excel, Word, and Outlook. Knowledge of and ability to learn the bank’s data processing system.
Salary Context
This $60K-$65K range is below the median for AI/ML Engineer roles in our dataset (median: $100K across 15465 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 26,159 AI roles we're tracking, AI/ML Engineer positions make up 91% of the market. At TrustBank, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills Required
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $166,983 based on 13,781 positions with disclosed compensation. Entry-level AI roles across all categories have a median of $76,880. This role's midpoint ($62K) sits 63% below the category median. Disclosed range: $60K to $65K.
Across all AI roles, the market median is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Architect ($292,900). By seniority level: Entry: $76,880; Mid: $131,300; Senior: $227,400; Director: $244,288; VP: $234,620.
TrustBank AI Hiring
TrustBank has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in Olney, IL, US. Compensation range: $65K - $65K.
Location Context
Across all AI roles, 7% (1,863 positions) offer remote work, while 24,200 require on-site attendance. Top AI hiring metros: Los Angeles (1,695 roles, $178,000 median); New York (1,670 roles, $200,000 median); San Francisco (1,059 roles, $244,000 median).
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 26,159 open positions tracked in our dataset. By seniority: 2,416 entry-level, 16,247 mid-level, 5,153 senior, and 2,343 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (1,863 positions). The remaining 24,200 roles require on-site or hybrid attendance.
The market median for AI roles is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. Highest-paying categories: AI Engineering Manager ($293,500 median, 28 roles); AI Architect ($292,900 median, 108 roles); AI Safety ($274,200 median, 19 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 26,159 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (23,752), AI Software Engineer (598), AI Product Manager (594). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (2,416) are outnumbered by mid-level (16,247) and senior (5,153) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 2,343 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (1,863 positions), with 24,200 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $184,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $309,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $122,200. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Rag (16,749 postings), Aws (8,932 postings), Rust (7,660 postings), Python (3,815 postings), Azure (2,678 postings), Gcp (2,247 postings), Prompt Engineering (1,469 postings), Openai (1,269 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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