Cybersecurity Data Scientist

Grow your career with a growing organization

Whether they’re helping people reach their long-term financial goals or providing personal wealth management strategies, every associate contributes to changing the lives of those we serve for the better. When it comes to job satisfaction, that’s hard to beat. And from a personal satisfaction perspective, you’ll enjoy the freedom to support causes that matter to you and experience a truly inclusive work environment. Your future starts now.

As a Cybersecurity Data Scientist, you will develop, maintain, and implement comprehensive information security monitoring programs in large and complex environments. You’ll perform comprehensive threat analyses and recommend an appropriate course of action, mitigation, and remediation. Additionally, you will provide consultative guidance on the development of information security strategies and programs through demonstrated expertise and knowledge of industry trends and changes with respect to advanced and sophisticated cyberattacks and threats.

What you will do:

• Perform forensic analysis for fraud-related investigations and support the Fraud Operations/CSI teams in their investigations. Perform advanced analytics on fraud and cyberattack data to identify trends, inform our investigations teams, and lead to the addition of useful detection functionality
• Identify and implement the appropriate infrastructure to support the fraud model detection tool and other custom tools, including the procurement, configuration, and support of the necessary AWS resources
• Based on analysis, design and code the logic used by the fraud model to identify red flag data features and the associated alerting logic
• Design and creation of monitoring, reporting, and alerting capabilities for our systems and tools. Support the cybersecurity and fraud teams with their reporting requirements for both existing business and implement changes to these reporting processes to integrate new data related to business acquisitions
• Perform testing to ensure detection techniques, reporting and fraud model functionality is working as expected
• Conduct data and threat analysis, security risk assessments, evaluating security services, and threat technologies in response to security events and trends
• Assist in SOC operations as needed such as data trending, statistical analysis, incident investigation/mitigation, etc.
• Develop machine learning models to derive cyber insights and threat intelligence
• Develop algorithms and models based on analyst use cases for security log data. Apply anomaly detection techniques to log data

What you will bring:

• 5 years of relevant work experience in data analytics, cybersecurity, fraud detection or related consulting. Experience building custom statistical/machine learning models, and analyzing unstructured data
• Bachelor’s degree or higher in Mathematics, Statistics, Engineering, Computer Science, or other quantitative/statistical discipline
• Expert technical competency analyzing large datasets using software such as Python, SAS, and SQL
• Ability to apply a variety of statistical techniques such as regression, machine learning, and cluster analysis. Programming experience in the multiple phases of a complex modelling initiative – data preprocessing, feature engineering, algorithm selection, model training & evaluation, and on-going support of models in production

What will set you apart:

• Experience using AWS Sagemaker, Splunk Machine Learning Toolkit or SAS Viya is preferred
• Experience with log data analytics and anomaly detection algorithms. Experience with data science sampling techniques appropriate for imbalanced class supervised machine learning classification problems
• Experience in database environments such as Oracle, PostgreSQL, and NoSQL
• Polished written and oral communication skills, with ability to present and clearly explain data to non-technical executive audiences. Possess a consultative nature, with proven record of accomplishment using data to provide actionable business results
• Prior exposure to financial services industry

***Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.***

What we offer you

We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance.

• Medical, dental, vision and life insurance
• Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
• Tuition reimbursement up to $5,250/year
• Business-casual environment that includes the option to wear jeans
• Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
• Paid volunteer time — 16 hours per calendar year
• Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
• Business Resource Groups (BRGs) - internal networks that rally around common interest, experiences and identities such as race, ethnicity, gender, ability, military status and sexual orientation. BRGs play a vital role in educating and engaging our people and advancing our business priorities.

Base Salary Range

The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.

Equal opportunity employer •  Drug-free workplace

We are an equal opportunity employer with a commitment to diversity.  All individuals, regardless of personal characteristics, are encouraged to apply.  All qualified applicants will receive consideration for employment without regard to age (40 and over), race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law. 

***For remote and hybrid positions you will be required to provide reliable high-speed internet with a wired connection as well as a place in your home to work with limited disruption. You must have reliable connectivity from an internet service provider that is fiber, cable or DSL internet. Other necessary computer equipment, will be provided. You may be required to work in the office if you do not have an adequate home work environment and the required internet connection.***

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