In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting edge technologies that shape the world of the future. For our Client working in the finance industry, we’re developing a Team of Data Science Engineers to support various analytical projects for the Financial Crime Threat Mitigation Applied Analytics. The team will be involved in providing best-in-class Analytics solutions to Complex Investigations, Intelligence & Analytics Systems Delivery, Transaction Monitoring, Network Analysis and Fraud mitigation etc. across lines of businesses and geographies within the organization.
Reference number: PL20/KRK/AS/DATASCIENTIST
Type of projects: supporting analytical projects for the Financial Crime Threat Mitigation Applied Analytics
Project language: English
Start date: depending on candidate’s availability
Conceptualize and build analytical solutions using statistical techniques (if required) to provide insight into the changing dynamics of fraud crime reported activities; Execute the assigned projects/ analysis as per the agreed timelines and with accuracy and quality through involvement in any or all of the following activities
o Data Quality Analysis, Segmentation, Analytical insights, Network analysis
o Trend Analysis and Targeted solution design to reduce Noise
o Design and implementation of basic and advanced Contextual Risk models for better and effective Transaction Monitoring or Fraud mitigation
Perform regular analysis of data and provide multi-dimensional views of the data to support FCR and FCTM; design and deploy visualizations to facilitate senior management decision making at tactical as well as strategic level
Leverage consulting skills to identify process improvement opportunities and demonstrate the value proposition of analytical solutions amongst stakeholders
Perform R&D on available data to come up with new and enhanced analysis of data; leverage advanced statistical/ math modelling where required to provide future state analysis and participate in proactive strategy building
Maintain regular communication with business to understand changes in requirements, feedbacks and recommendations
Ensure adherence with all the applicable compliance policies and business standards of Organization as applicable. Take timely action on Audit comments and be able to demonstrate compliance with Internal controls
Mentor, guide and oversee junior team members as required
Graduation / Post Graduation degree in Computer Science, Statistics, Mathematics, Economics or any other quantitative discipline
Experience working in Analytics (BFSI domain would be a plus) with data engineering skills using e.g. SAS, SQL, Python/R, Hive/Scala/Spark; solid understanding of OOP for candidates with Computer Science background
Knowledge of statistical techniques is required
Should be skilled in communicating complex ideas, Machine Learning and Advanced Analytics techniques
Strong analytical thought process and aptitude for problem solving.
Should be adept in using MS Office with exceptional MS Excel Skills. Exposure to VBA will be advantageous.
Excellent communication skills (both verbal and written)
Experience in visualization technologies such as Qlikview/Qliksense/Tableau would be a plus
Opportunity to participate in large-scale projects for one of the largest banking and financial services institution in the world