Senior Data Scientist at Mozn

Riyadh, Riyadh Region, Saudi Arabia -

Full Time

Start Date

Immediate

Expiry Date

07 Mar, 26

Salary

0.0

Posted On

07 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Financial Fraud Detection, Sanction Screening, Know Your Customer, Anti-Money Laundering, Machine Learning, Data Science, SQL, Python, Data Visualization, Data Analysis, Feature Engineering, Graph Analytics, Communication Skills, Problem-Solving, Attention to Detail, Adaptability

Industry

Software Development

Description

About the role The Mozn brand is alive within a plethora of stakeholder touchpoints and therefore the most suitable candidate for the Senior Data Scientist position would be specialized in Financial Fraud Detection, Sanction Screening, Know Your Customer (KYC) procedures, and Anti-Money Laundering (AML) initiatives. As a Senior Data Scientist, you will play a critical role in developing and implementing advanced analytics models and techniques to detect and prevent fraudulent activities and mitigate AML risks. What you'll do Lead initiatives to develop and implement strategies for fraud detection and AML. Interact heavily with SME as well as Enterprise clients. Understand pain points and gaps, build a project plan with clear deliverables and execute on it. Plan, research and experiment customized project-based solutions. Conduct research, experimentation, and optimization to enhance technical solutions for detecting fraudulent activities. Plan and execute towards the training of ML models then deploying them. Help shape the roadmap for the development of our fraud and AML solutions. Stay updated with industry trends, best practices, and regulatory requirements related to fraud detection, AML, and financial crime prevention. Qualifications Bachelor’s or Master's degree in Data Science, AI, Machine Learning, Mathematics, Statistics, or a related field. At least 5 years experience in leading advanced data science projects. A minimum of 3 years in client facing engagements in the field of fraud prevention and AML. Strong communication skills to collect insights from clients, share and present findings. Proficient in handling and analysing large datasets using SQL and Python. Hands-on experience in data extraction, visualisation, analysis, and transformation. Expert in building and maintaining advanced ML and statistical models, experience in graph analytics and using graph networks will be advantageous. Skilled in utilising databases, data warehousing, data modelling techniques and feature generation / feature engineering. Ability to create and manage complex multi-stage data pipelines. Experience in building fraud detection models, or consulting on fraud detection / fraud prevention systems or AML is highly advantageous. Proficiency in English language is required and preferably in Arabic languages. Excellent verbal and written communication skills. Excellent problem-solving skills, attention to detail, and adaptability Benefits You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space. You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best. The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI. We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves

Responsibilities

Lead initiatives to develop and implement strategies for fraud detection and AML. Conduct research and optimization to enhance technical solutions for detecting fraudulent activities.