Senior Specialist Data Scientist Actimize

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

So, what’s the role all about?

NICE Actimize is comprised of talented, creative and dedicated individuals with a passion for delivering innovative solutions to the market. At NICE Actimize, we recognize that every employee’s contributions are integral to our company’s growth and success. To find and acquire the best and brightest talent around the globe, we offer a challenging work environment, competitive compensation and benefits, and rewarding career opportunities. Come share, grow and learn with us – you’ll be challenged, you’ll have fun and you’ll be part of a fast growing, highly respected organization.

NICE Actimize is currently seeking a dynamic individual with high energy and drive to join our dynamic and growing X-Sight DS and AI team as a AML Analyst.

How will you make an impact?

• Lead AML (Anti-Money Laundering) research and analytics delivery (machine learning models, features, business rules etc.) in collaboration with a team of data scientists and engineers over SaaS.
• Investigate and understand Money Laundering patterns and launderers behavior. Identify means to distinguish between Money Laundering and legitimate behavior. Research and analyze financial data. Leverage data analysis findings to develop new cutting-edge analytical features.
• Define AML analytics product requirements based on data analysis, business understanding and market demand.
• Serve as an AML Analytics Subject Matter Expert for the company and for the customers of the company (financial organizations) - training, business reviews, sales and marketing support, documentation etc.
• Provide support to the client and to the MLOps team to ensure the quality of the implemented system in meeting business requirements.
  
  

Have you got what it takes?

• BSc. degree in Statistics, Computer Science, Engineering, Economics, OR equivalent. Advanced degree is an advantage.
• At least 3 years hands-on experience in Data Analysis (preferably in the financial industry).
• Experience with SQL (Python – advantage).
• Knowledge of AML Detection.
• Excellent presentation and communication skills.
• Experience in Product Development or Product Management advantage.
• Knowledge or familiarity with Cloud technologies advantage.
  
  

What’s in it for you?

Join an ever-growing, market-disrupting global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! 

Enjoy FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. 

Requisition ID: 8558

Reporting into: Tech Manager

Role Type: Individual contributor

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

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