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Insider Risk Manager Jobs in Atlanta, GA (NOW HIRING)

Smarsh

Lead Data Scientist

Atlanta, GA · Remote

$166K - $214K/yr

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... insider trading, market manipulation, off-channel communications, MNPI, bribery, and other ...

Southern Company

Adversary Threat Hunter

Atlanta, GA · On-site

Practical experience with Splunk, Gravwell, or other Security Information and Event Management ... Must pass NERC CIP and Insider Threat Protection background checks * Ability to work independently ...

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Insider Risk Manager information

See Atlanta, GA salary details

$49.5K

$107.3K

$163.5K

How much do insider risk manager jobs pay per year?

As of Aug 7, 2026, the average yearly pay for insider risk manager in Atlanta, GA is $107,279.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $124,100.00 per year, depending on experience, location, and employer.

What does an insider risk manager do?

An Insider Risk Manager is responsible for identifying, assessing, and mitigating risks posed by individuals within an organization, such as employees, contractors, or business partners. Their work focuses on preventing data breaches, intellectual property theft, and other security incidents caused by trusted insiders. They develop policies, conduct investigations, monitor employee activity for suspicious behavior, and collaborate with other departments to strengthen security measures. Ultimately, their goal is to protect the organization's assets and reputation from internal threats.

What are some common challenges faced by an insider risk manager, and how can they be addressed?

Insider Risk Managers often face challenges such as detecting subtle behavioral changes that may signal insider threats, balancing employee privacy with effective monitoring, and fostering a culture of security awareness. Addressing these challenges typically involves working closely with IT, HR, and legal teams to implement risk assessment tools, develop clear communication strategies, and provide regular training. Additionally, staying updated on the latest threat trends and maintaining transparent incident response protocols help Insider Risk Managers mitigate potential risks effectively.

What is the difference between Insider Risk Manager vs Data Loss Prevention Specialist?

AspectInsider Risk ManagerData Loss Prevention Specialist
CredentialsSecurity certifications (CISSP, CISM), risk management experienceSecurity certifications, technical knowledge of DLP tools
Work EnvironmentCorporate security teams, risk assessment settingsIT security teams, technical implementation roles
Industry UsageFinancial, healthcare, government sectorsTech, finance, enterprise sectors
Primary FocusIdentifying and mitigating insider threatsPreventing data exfiltration and leaks

The Insider Risk Manager focuses on detecting and managing risks posed by internal employees, while the Data Loss Prevention Specialist concentrates on technical measures to prevent data leaks. Both roles require security certifications and are vital in protecting organizational assets, but they differ in scope and daily responsibilities.

What are the key skills and qualifications needed to thrive as an insider risk manager, and why are they important?

To thrive as an Insider Risk Manager, you need expertise in cybersecurity, risk assessment, and incident response, often supported by a degree in information security or a related field. Familiarity with SIEM tools, DLP systems, and certifications like CISSP or CISM are typically required. Strong analytical thinking, discretion, and communication skills help in identifying threats and collaborating with stakeholders. These skills ensure effective mitigation of insider threats, protecting organizational assets and sensitive information.
What are popular job titles related to Insider Risk Manager jobs in Atlanta, GA? For Insider Risk Manager jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Insider Risk Manager jobs in Atlanta, GA look for? The top searched job categories for Insider Risk Manager jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Insider Risk Manager jobs? Cities near Atlanta, GA with the most Insider Risk Manager job openings:
Insider Risk Manager jobs near you
Infographic showing various Insider Risk Manager job openings in Atlanta, GA as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $107,279 per year, or $51.6 per hour.

Lead Data Scientist

Smarsh

Atlanta, GA • Remote

$166K - $214K/yr

Full-time

Re-posted 20 days ago

Job description

Who are we?

Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines.  Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.

Summary
 
As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh, you will spearhead the development of state-of-the-art natural language processing (NLP) and large language model (LLM) solutions that power next-generation compliance and surveillance systems. You’ll work on highly specialized problems at the intersection of natural language processing, communications intelligence, financial supervision, and regulatory compliance, where unstructured data from emails, chats, voice transcripts, and trade communications hold the keys to uncovering misconduct and risk.
 
The role will involve working with other Senior Data Scientists and mentoring Associate Data Scientists in analyzing complex data, generating insights, and creating solutions as needed across a variety of tools and platforms. This role demands both technical excellence in NLP modeling and a deep understanding of financial domain behavior—including insider trading, market manipulation, off-channel communications, MNPI, bribery, and other supervisory risk areas. The ideal candidate for this position will possess the ability to perform both independent and team-based research and generate insights from large data sets with a hands-on/can do attitude of servicing/managing day to day data requests and analysis.
 
This role also offers a unique opportunity to get exposure to many problems and solutions associated with taking machine learning and analytics research to production. On any given day, you will have the opportunity to interface with business leaders, machine learning researchers, data engineers, platform engineers, data scientists and many more, enabling you to level up in true end-to-end data science proficiency.
How will you contribute?
  • Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the development of statistical methods / machine learning algorithms.
  • Lead the design, training, and deployment of NLP and transformer-based models for financial surveillance and supervisory use cases (e.g., misconduct detection, market abuse, trade manipulation, insider communication).
  • Development of machine learning models and other analytics following established workflows, while also looking for optimization and improvement opportunities
  • Data annotation and quality review 
  • Exploratory data analysis and model fail state analysis 
  • Contribute to model governance, documentation, and explainability frameworks aligned with internal and regulatory AI standards.
  • Client/prospect guidance in machine learning model and analytic fine-tuning/development processes
  • Provide guidance to junior team members on model development and EDA
  • Work with Product Manager(s) to intake project/product requirements and translate these to technical tasks within the team’s tooling, technique and procedures
  • Continued self-led personal development
What will you bring?
  • Strong understanding of financial markets, compliance, surveillance, supervision, or regulatory technology
  • Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse
  • Command of data science and statistics principles (regression, Bayes, time series, clustering, P/R, AUROC, exploratory data analysis etc…)
  • Strong knowledge of key programming concepts (e.g. split-apply-combine, data structures, object-oriented programming)
  • Solid statistics knowledge (hypothesis testing, ANOVA, chi-square tests, etc…)
  • Knowledge of NLP transfer learning, including word embedding models (gloVe, fastText, word2vec) and transformer models (Bert, SBert, HuggingFace, and GPT-x etc.)
  • Experience with natural language processing toolkits like NLTK, spaCy, Nvidia NeMo
  • Knowledge of microservices architecture and continuous delivery concepts in machine learning and related technologies such as helm, Docker and Kubernetes
  • Familiarity with Deep Learning techniques for NLP.
  • Familiarity with LLMs - using ollama & Langchain
  • Excellent verbal and written skills
  • Proven collaborator, thriving on teamwork
 
Preferred Qualifications
  • Master’s or Doctor of Philosophy degree in Computer Science, Applied Math, Statistics, or a scientific field
  • Familiarity with cloud computing platforms (AWS, GCS, Azure)
  • Experience with automated supervision/surveillance/compliance tools
 
The above salary range represents Smarsh's good faith and reasonable estimate of the range of possible base compensation at the time of posting. Any applicable bonus programs will be discussed during the recruiting process.
 
The salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty and training.
 
Local cost of living assessments are done for each new hire at the time of offer.
About our culture

Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.