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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing machine learning models for Transaction Monitoring, Customer Due Diligence, and Fraud Detection, while effectively managing multiple projects and mentoring team members. Strong stakeholder management and communication skills are essential for collaborating with clients and contributing to the growth of the Financial Economic Crime practice.
Highest-signal resume keywords
Machine Learning Model DevelopmentAdvanced Programming Skills in PythonProject Management in Banking/ConsultingStakeholder ManagementMentoring and Team Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningQuantitative AnalysisModel ImplementationData AnalysisStatistical ModelingProject ManagementQuality AssuranceCloud Infrastructure SolutionsPysparkSpark
Soft Skills
CreativityAdaptabilityCommunication SkillsPresentation SkillsStorylining
Certifications & Qualifications
PhD or Master's Degree in MathematicsPhysicsEconometricsComputer ScienceEngineering
Industry Keywords
Transaction MonitoringCustomer Due DiligenceSanctions ScreeningFraud DetectionFinancial Economic Crime
Tech Stack
Tools & technologiesCloudPySparkPythonSpark
About the role
Key responsibilities & impact- Develop models for Transaction Monitoring, Customer Due Diligence, Sanctions screening and Fraud detection
- Run one or more projects simultaneously
- Own the full modelling scope, from devising solutions for clients' strategic needs to building and implementing models in client cloud infrastructure
- Contribute to project origination
- Mentor staff
- Support recruitment
- Perform quality assurance
- Partner with different clients to solve challenging problems using the latest technology
- Help grow Zanders' Financial Economic Crime practice
Requirements
What you’ll need- PhD or Master's degree in mathematics, physics, econometrics, computer science or engineering
- 6+ years' track record in running quantitative projects, preferably in a banking and/or consulting environment
- Experience developing machine learning models
- High degree of creativity and adaptability
- Advanced programming skills in Python, Pyspark and Spark
- Commercial sense and excellent stakeholder management
- Solid communication, story lining and presentation skills
- High moral standards expected
- Pre-Employment Screening (PES) by a third party is part of the application process
Benefits
Comp & perks- A hybrid work environment promoting a healthy work-life balance
- Home office setup allowance
- Internet allowance
- Mobility budget
- Participation in the Zanders bonus scheme
- Pension scheme
- 29 paid holiday days
- Laptop and iPhone
- Entrepreneurial culture supporting personal development and initiatives
- Expertise development alongside diverse clients and consultants
- Collegiate environment with enthusiastic and helpful colleagues
- International and fun working environment
- Cultural night events
- Annual Zanders' trip to a surprise location in Europe