A2G Consulting08.02.26
AI SCORE 8.5

Senior Data Scientist - Transaction Monitoring (Remote)

$100K–$120K/year

About the Role

We are looking for a highly skilled Senior Data Scientist (Transaction Monitoring) to join our dynamic team. This remote position offers you the chance to leverage your expertise in Python, PySpark, and Spark while making a significant impact in the fight against financial crime. You will be responsible for ensuring our analysts can focus on true positive alerts, thus adding value to our operations.

What You'll Do

  • Design and implement data science models, ensuring high-quality code and alignment with IT, Architecture, and Business teams.
  • Anticipate potential challenges from model choices and lead brainstorming sessions to tackle these challenges effectively.
  • Coach and mentor junior data scientists, promoting best practices across the team.
  • Communicate data science insights to business stakeholders effectively, ensuring alignment with business objectives.
  • Bring analytics models to production, demonstrating proven success in writing production-grade code.

Requirements

  • Master's or PhD in Data Science, Econometrics, Mathematics, or a related field.
  • 5+ years of experience in advanced analytics, modeling, or artificial intelligence, particularly with large datasets.
  • Strong proficiency in Python, PySpark, and Spark; experience with Azure Databricks is a plus.
  • Excellent verbal and written communication skills in English.
  • Proven ability to coach and mentor other data scientists.

Nice to Have

  • Experience in financial crime analytics or transaction monitoring.
  • Familiarity with data storytelling techniques.
  • Experience in a hybrid work environment.

What We Offer

  • Competitive gross salary aligned with market standards.
  • 20 days of holiday per year based on a 40-hour work week.
  • Support for personal development, including reimbursement for certification charges.
  • Income tax return filing assistance.
  • Visa sponsorship for candidates and their dependents.
  • Possibility of bonuses based on performance.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Data Scientist position offers a unique opportunity to work remotely while combating financial crime. With competitive salary and benefits, it's a great chance for experienced professionals.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

About A2G Consulting

Explore A2G Consulting careers in 2026 and find your ideal role today. Whether you're seeking remote, hybrid, or office positions, our platform offers tailored filters, application tracking, and company insights to enhance your job search. Discover exciting career opportunities at A2G Consulting, where your next professional adventure awaits. Stay updated with industry news and vacancy scores to make informed decisions.

Industry
Tech
Location
Remote

Who Will Succeed Here

Extensive experience in Python and PySpark for data manipulation and analysis, with a strong understanding of Spark's distributed computing capabilities to handle large datasets efficiently.

Proven track record of applying machine learning algorithms and statistical analysis to detect anomalies and patterns in financial transactions, showcasing a proactive approach to combating financial crime.

Ability to work independently in a remote setting, demonstrating self-discipline and initiative in managing projects while collaborating effectively with cross-functional teams through virtual communication tools.

Learning Resources

Python for Data Science Handbookguide

Career Path

Senior Data Scientist - Transaction Monitoring(Now)Lead Data Scientist(1-2 years)Director of Data Science(3-5 years)

Market Overview

Market Size 2024
$15.5B
Annual Growth
22.3%
AI Adoption
60%
Investment
+35%
Labour Demand
+28%
Avg Salary
$130K

Skills & Requirements

Required
PythonPySparkSpark
Growing in Demand
Deep LearningNatural Language ProcessingBig Data Technologies
Declining
R ProgrammingSAS

Domain Trends

Increased Focus on Real-Time Analytics
Organizations are investing heavily in real-time data processing, with a 45% increase in demand for tools like Apache Kafka and Spark for transaction monitoring.
Rise of Automated Machine Learning (AutoML)
AutoML adoption is expected to grow by 50% in the next two years, making it easier for data scientists to deploy models without extensive coding.
Regulatory Compliance and Data Governance
Companies are facing a 30% increase in regulatory requirements, driving the need for advanced transaction monitoring systems that leverage machine learning for anomaly detection.

Industry News

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