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Ctr Analyst Jobs in California (NOW HIRING)

Commonwealth Business Bank

TM Analyst II

Los Angeles, CA · On-site

$58K - $70K/yr

Transaction Monitoring (TM) Analyst II CORPORATE TITLE: Non-Officer DEPARTMENT: BSA (Transaction ... Familiarity with regulatory requirements related to BSA/AML and CTR processes is desirable. REWARDS ...

DNAM Brands

Ad Manager

Beverly Hills, CA · On-site

$60 - $80/hr

... and CTR. This role is both analytical and execution-focused, requiring a strong understanding of Meta Ads Manager and a proactive approach to scaling and optimization. The Facebook Ad Manager ...

DNAM Brands

Ad Manager

Beverly Hills, CA · On-site

... and CTR. This role is both analytical and execution-focused, requiring a strong understanding of Meta Ads Manager and a proactive approach to scaling and optimization. The Facebook Ad Manager ...

Strategic Employment

PPC Specialist

Irvine, CA · On-site

Requirements: • Experience managing PPC campaigns (Google Ads, Bing Ads, etc.) • Strong understanding of keyword research, targeting, and optimization • Ability to analyze performance data (CTR ...

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Ctr Analyst information

See California salary details

$48.4K

$87.4K

$121.9K

How much do ctr analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for ctr analyst in California is $87,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $98,200.00 per year, depending on experience, location, and employer.

What is a CTR analyst?

CTR Analysts, also known as Currency Transaction Report Analysts, are financial professionals who review and investigate large cash transactions in banks and other financial institutions to ensure compliance with anti-money laundering (AML) regulations. Their primary responsibility is to analyze transactions that exceed regulatory thresholds, typically $10,000, and to prepare and file CTRs with the appropriate authorities. They play a crucial role in detecting and preventing financial crimes such as money laundering and fraud. CTR Analysts must have strong analytical skills and a thorough understanding of regulatory requirements. Their work helps safeguard the financial system and maintain institutional integrity.

What are some typical challenges faced by a CTR analyst, and how can they be addressed?

CTR Analysts often encounter challenges such as managing large volumes of transaction data, staying updated with evolving regulatory requirements, and identifying suspicious activities amidst routine patterns. Effective communication with compliance teams and ongoing training in anti-money laundering (AML) regulations are essential to overcome these challenges. Leveraging specialized software tools and collaborating with team members can also help streamline the review process and ensure accurate, timely reporting.

What are the key skills and qualifications needed to thrive as a CTR analyst, and why are they important?

To thrive as a CTR Analyst, you need strong analytical abilities, attention to detail, and knowledge of regulatory compliance, often supported by a degree in finance, accounting, or a related field. Familiarity with anti-money laundering (AML) software, transaction monitoring systems, and reporting tools like Actimize or SAS is typically required. Excellent communication, problem-solving, and organizational skills help analysts effectively investigate and report suspicious activities. These skills ensure accurate and timely compliance with financial regulations, minimizing legal risks and supporting organizational integrity.

What are popular job titles related to Ctr Analyst jobs in California?

For Ctr Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Ctr Analyst jobs in California look for?

The top searched job categories for Ctr Analyst jobs in California are:

Ctr Analyst jobs near you
Infographic showing various Ctr Analyst job openings in California as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $87,409 per year, or $42 per hour.

Senior Principal Machine Learning Engineer - Optimization

PubMatic

Redwood City, CA • On-site, Remote

$153K - $211K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 15 days ago

Job description

Role: Hybrid in Redwood City, CA. (Will consider Remote for the right candidate)
Must have: Experience building large-scale prediction or optimization systems
PubMatic is the leading AI-powered ad tech company delivering measurable advertising performance through an intelligent, unified platform that connects buyers, publishers, data partners, and commerce media across CTV, mobile app, and omnichannel environments.
About the Role:
We are looking for a Senior Principal Machine Learning Engineer to help build the next generation of performance optimization capabilities for PubMatic's Activate platform.
This role is focused on applying machine learning, prediction, ranking, calibration, experimentation, and optimization techniques to improve campaign outcomes across performance advertising goals such as CTR, VCR, CPC, CPA, and ROAS. The ideal candidate has strong ML fundamentals and experience building large-scale production models or optimization systems.
What You'll Do:
  • Build and improve machine learning models for campaign optimization, prediction, ranking, bidding, forecasting, and calibration.
  • Develop models and algorithms that improve advertiser outcomes while balancing spend delivery, cost efficiency, campaign goals, marketplace dynamics, and system constraints.
  • Work on large-scale ML systems using signals from auctions, impressions, clicks, video events, conversions, users, context, inventory, campaigns, and marketplace feedback.
  • Design and improve CTR, CVR, VCR, CPA, ROAS, app-install, user-value, and campaign-performance models.
  • Develop bidding, pacing-aware optimization, ranking, exploration, and value-estimation approaches for performance advertising.
  • Improve model calibration, online/offline evaluation, experimentation, observability, and production feedback loops.
  • Reason through sparse conversions, delayed feedback, biased logs, cold-start campaigns, attribution noise, and online/offline metric mismatch.
  • Partner with performance advertising signal engineers to define model-ready features, labels, attribution windows, negative examples, training datasets, and online serving requirements.
  • Partner with engineering, product, analytics, and platform teams to translate model outputs into real-time decisioning systems.
  • Help evolve Activate from a media buying execution platform into a performance optimization platform.
  • Provide technical leadership and mentorship to engineers and applied scientists working on performance optimization problems.
  • 10+ years of experience building production machine learning, ranking, recommendation, prediction, optimization, ads, marketplace, bidding, or pricing systems.
  • Strong understanding of supervised learning, ranking, calibration, causal thinking, experimentation, statistical evaluation, and model monitoring.
  • Experience building large-scale prediction or optimization systems in production.
  • Experience with CTR/CVR prediction, conversion modeling, bid optimization, value modeling, forecasting, calibration, or performance optimization.
  • Strong ability to reason about model quality, business impact, system constraints, production tradeoffs, and online performance.
  • Experience working with large-scale data and distributed ML workflows.
  • Strong engineering skills in Python, Java, SQL, Spark, TensorFlow, PyTorch, XGBoost, or similar technologies.
  • Ability to provide technical leadership across ambiguous, high-impact optimization problems.
  • BS, MS, or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Engineering, or a related technical field.

Preferred Experience:
    • Experience in ads, search, recommendations, marketplaces, e-commerce, fintech, pricing, bidding, or real-time optimization systems.
    • Experience with performance advertising goals such as CTR, VCR, CPC, CPA, ROAS, app install, retargeting, or user-value optimization.
    • Familiarity with real-time bidding, programmatic advertising, ad serving, attribution, pacing, identity, incrementality, or performance advertising.
    • Experience with exploration/exploitation, counterfactual evaluation, uplift modeling, delayed-feedback modeling, or learning under biased logs.
    • Experience with model calibration, model observability, A/B testing, online experimentation, incrementality testing, or lift measurement.
    • Experience working cross-functionally with product, engineering, analytics, and business stakeholders.

We'd love for you to have:
  • 10+ years of experience building production machine learning, ranking, recommendation, prediction, optimization, ads, marketplace, bidding, or pricing systems.
  • Strong understanding of supervised learning, ranking, calibration, causal thinking, experimentation, statistical evaluation, and model monitoring.
  • Experience building large-scale prediction or optimization systems in production.
  • Experience with CTR/CVR prediction, conversion modeling, bid optimization, value modeling, forecasting, calibration, or performance optimization.
  • Strong ability to reason about model quality, business impact, system constraints, production tradeoffs, and online performance.
  • Experience working with large-scale data and distributed ML workflows.
  • Strong engineering skills in Python, Java, SQL, Spark, TensorFlow, PyTorch, XGBoost, or similar technologies.
  • Ability to provide technical leadership across ambiguous, high-impact optimization problems.
  • BS, MS, or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Engineering, or a related technical field.

Additional Information
Return to Office: PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days "in office" and 2 days "working remotely") that is intended to maximize collaboration, innovation, and productivity among teams and across functions.
Benefits: Our benefits package includes the best of what leading organizations provide such as, paid leave programs, paid holidays, healthcare, dental and vision insurance, disability and life insurance, commuter benefits, physical and financial wellness programs, unlimited DTO in the US (that we actually require you to use!), reimbursement for mobile and fully stocked pantries plus in-office catered lunches 5 days per week.
Diversity and Inclusion: PubMatic is proud to be an equal opportunity employer; we don't just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status
About PubMatic
PubMatic is one of the world's leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes. Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.
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Compensation Disclosure
In accordance with applicable law, the below salary range provided is PubMatic's reasonable estimate of the total compensation for this role. New hires and current team members are typically compensated toward the middle of our pay range. The actual amount may vary, based on non-discriminatory factors such as location, experience, knowledge, skills and abilities. In addition to salary PubMatic also offers a bonus, restricted stock units, and a competitive benefits package.
Total Compensation Range
$260,000-$330,000 USD

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