Senior Data Analyst - Fraud Prevention
Senior Data Analyst - Fraud Prevention
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Job Description
Your Mission
You will be a part of a joint team of machine learning engineers and data scientists building and evolving ML models real time systems reports and deep analysis of fraud detection and mitigation activities to protect merchants their customers and Teya from fraudulent activities.
Working with advanced predictive models and scalable software systems build and grow intelligent solutions to reduce all kinds of risk and allow Teya to focus on effectively serving our merchants. Key individual contributor for a diverse and innovative team to create deep understanding of big data inputs and contribute to continuous improvement while addressing fastmoving risks and opportunities.
Working with senior product business and engineering leaders to analyze data identify opportunities for building new models build and maintain real time dashboards and deliver insights through indepth reports. Collaborate with your peers across Teya to share insights and enable realtime decision making wherever opportunity arises.
As a Senior Data Analyst on the Fraud Prevention team you will:
Lead with data to design develop and implement solutions for Fraud Prevention;
Collect store and analyse large data sets;
Integrate data into business processes and systems;
Write complex SQL queries and scripts;
Collaborate with crossfunctional teams including data scientists ML engineers product managers and business analysts;
Build and maintain dashboards and reports in a variety of environments including Snowflake and Tableau;
Effectively manage business stakeholders and drive initiatives to promote actionable insights identifying and prioritising requirements and owning a roadmap of deliverables;
Analyse external customer and internal business data working with teams across different countries to drive optimisation of our products;
Build predictive models to accurately forecast our numbers and evaluate against the budget and actuals.
Promote a datadriven culture across the business
Qualifications :
Your Story
Basic Requirements
3 years of professional data analyst experience in a technical domain
Highly proficient in SQL and Tableau (or equivalent BI tool)
Good analytical and problemsolving skills
Selfstarter comfortable in a fastpaced environment and able to adapt to changing circumstances quickly
Capable of translating complex data into understandable conclusions and recommendations
Ability to think creatively and insightfully about business problems
Good written and verbal communication skills
Preferred Requirements
Experience with Machine Learning and Python (timeseries analysis forecasting)
Familiarity with AWS environment (SageMaker S3 Redshift)
Familiarity with Snowflake
Bachelors degree in mathematics statistics or relevant experience in related field
Additional Information :
The Perks
We trust you so we offer flexible working hours as long it suits both you and your team.
Physical and mental health support through our partnership with GymPass giving free access to over 1500 gyms in the UK 11 therapy meditation sessions digital fitness and nutrition apps.
CycletoWork Scheme.
Health and Life Insurance.
Pension Scheme.
25 days of Annual Leave ( Bank Holidays).
Possibility to travel to different offices around Europe.
Office snacks every day.
Friendly comfortable and informal office environment in Central London.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
