Senior Data Scientist, Actimize (Fraud/Financial Crime)

1 Month ago • 5 Years + • Data Analysis

Job Summary

Job Description

The Senior Data Scientist role involves safeguarding financial institutions from fraudulent activities by leveraging advanced analytics and machine learning. Key responsibilities include analyzing transaction data and customer behavior to identify fraud patterns, developing and deploying data-driven fraud prevention models and rules, and continuously monitoring and refining existing detection models. The role also entails designing automation solutions for fraud monitoring, communicating fraud prevention strategies with clients and partner banks, and collaborating with product and development teams on complex fraud prevention projects. This position requires strong analytical skills, proficiency in SQL and Python, and excellent communication abilities to interact effectively with clients and internal teams.
Must have:
  • 5+ years of data analysis experience, preferably in risk/fraud.
  • High proficiency in SQL for complex queries and large datasets.
  • High proficiency in Python for data analysis and automation.
  • High proficiency in English with strong written/verbal communication.
  • Ability to work independently and drive projects.
Good to have:
  • Understanding of US financial systems.
  • Experience with financial fraud prevention strategies.
  • Team player with desire to mentor junior analysts.
Perks:
  • NiCE-FLEX hybrid work model (2 days office, 3 days remote).
  • Opportunity to work in a fast-paced, collaborative, and creative environment.
  • Endless internal career opportunities.
  • Work with market-leading AI, cloud, and digital solutions.

Job Details

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?

We are looking for a financial crime -Senior Risk & Fraud Data Analyst to play a pivotal role in safeguarding financial institutions from fraudulent activities. This role focuses on leveraging advanced analytics and Machine learning know-how to build and optimize fraud detection classification models and strategies and support our clients and banking partners in fraud mitigation.

As a key member of our team, you’ll have the opportunity to work at the intersection of data-driven research, risk management, business strategy and client relations, contributing to the safety and scalability of our platform.

How will you make an impact?

  • Analyze transaction data and customer behavior to identify patterns indicative of fraudulent activity.
  • Develop and deploy data-driven fraud prevention rules, logic, and models to mitigate risk effectively.
  • Continuously monitor and refine existing fraud detection models based on emerging trends and feedback.
  • Design and implement automation solutions to enhance fraud monitoring processes and support scalability.
  • Communicate with clients and partner banks to align on fraud prevention strategies and share actionable insights.
  • Work with product and dev and other teams in Unit to lead and deliver strategic and complex projects in the Fraud prevention domain.

Have you got what it take:

  • At least 5 years of experience in data analysis, preferably in the risk or fraud domain within the fintech industry.
  • High proficiency in SQL – Must. Experienced in writing complex queries and analyzing large datasets.
  • High proficiency in Python for data analysis – Must. Skilled in using Python libraries such as Pandas for data analysis and research, automation, and developing fraud detection logic.
  • High proficiency in English and Strong written and verbal communication skills to effectively interact with clients, partners, and internal teams.
  • Advantage: Understanding of the US financial systems – Familiarity with banking, payments, or e-commerce systems and processes.
  • Advantage: Experience with financial fraud prevention strategies.
  • Advantage: Ability to work independently, take initiative, and drive projects from ideation to completion.
  • Great team player with desire to mentor junior analysts and Data scientists. 

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 NiCE-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: 6464
Reporting into: 
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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