Senior Data Scientist - Compliance & Fraud Intelligence Unit
Job Fit Check
Base Career helps you apply smarter for this job.
Key skills for this role
About the Role
Mozn is seeking a Senior Data Scientist specialized in Open Banking, Credit Scoring, Financial Fraud Detection, Sanction Screening, KYC, and AML. You will lead initiatives to develop fraud detection and AML strategies, interact with clients, and build ML models.
Key Skills for This Role
Responsibilities
- 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
Requirements
- 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
- Proficient in handling and analysing large datasets using SQL and Python
- Expert in building and maintaining advanced ML and statistical models
- Proficiency in English and Arabic languages
Full Job Posting
About The Role
- The Senior Data Scientist position would be specialized in Open Banking, Credit Scoring, 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 and Arabic languages is required.
- Excellent verbal and written communication skills.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at MOZN
Engagement Manager
Riyadh, KSA
Mozn is seeking an Engagement Manager to lead end-to-end implementation of AML and Fraud Intelligence products for enterprise clients in Riyadh. The role involves managing delivery lifecycle, client engagement, solution
Specialist, FP&A
Riyadh, KSA
MOZN is looking for a Specialist in FP&A to lead financial strategy, develop integrated models, and support executive decision-making in a high-growth SaaS environment. The role requires 5+ years of progressive FP&A expe
Presales Engineer - FOCAL
Riyadh, KSA
Mozn is seeking a dynamic Pre-Sales Engineer to support the sales process for its FOCAL product. The role involves managing technical assessments, conducting product demonstrations, and translating client requirements in
DevOps Engineer I
Riyadh, KSA
Mozn is looking for a motivated DevOps Engineer I to join their engineering team in Riyadh. You will work on cloud infrastructure, automation, and deployment pipelines while learning from experienced engineers. The role
Data Engineer I
Riyadh, KSA
MOZN is looking for a Data Engineer to join their implementation team, designing and optimizing data pipelines for the FOCAL system. The role involves working with ML engineers, developing ETL processes, and ensuring dat
Senior SEO, Organic Growth & Website Experience Specialist
Riyadh, KSA
MOZN is looking for a Senior SEO, Organic Growth & Website Experience Specialist to own organic growth strategy, website performance, technical SEO, content optimization, and AI search visibility. You will drive organic
Revenue Operations Analyst
Riyadh, KSA
Mozn is seeking a Revenue Operations Analyst to drive operational excellence across the deal lifecycle. You will partner with Sales, Legal, Finance, and Product teams to structure deals, manage contracts, and ensure comp
Channel Sales Lead - Africa
Dubai, UAE
MOZN seeks a Channel Sales Lead for Africa to drive partner-led revenue growth and direct enterprise sales. You will architect partner narratives, manage territory plans, and close complex deals. Requires 5+ years enterp
Engagement Manager
Riyadh, KSA
Specialist, FP&A
Riyadh, KSA
Presales Engineer - FOCAL
Riyadh, KSA
DevOps Engineer I
Riyadh, KSA
Data Engineer I
Riyadh, KSA
Senior SEO, Organic Growth & Website Experience Specialist
Riyadh, KSA
Revenue Operations Analyst
Riyadh, KSA
Channel Sales Lead - Africa
Dubai, UAE