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My client, a top tier investment bank is looking for 3 Senior Data Scientist to join their Advanced Analytics team based in Cambridge and London.
Develop solutions using various analytical techniques (specifically Machine Learning (ML)) for the Market Conduct predictive analytics activities through involvement in any or all of the following activities
S/he will engage with various stakeholders within wider GRA function and provide technical (ML) leadership.
Gather business requirements from senior stakeholder and translate their business brief into technical solution design
Design detailed end-to-end ML solution architecture and associated business processes of their implementation
Develop product backlog in consultation with senior data scientists and provide technical guidance to the development team to ensure the solution meets business brief
Create agile delivery plan focussed at development of essential PoC features within strict time frame
Develop solution deployment strategy and provide framework for change management
Design of predictive analytics strategies and models, their prototyping and implementation
Develop advanced machine learning capabilities to codify human decisioning
Develop big data analytics and other infrastructure platforms for solution design
Data Quality Analysis, Segmentation , Threshold Setting and Tuning for Surveillance Monitoring
Trend Analysis and Dashboard Creation based on Visualization techniques
Data Implementation Checks and Data Quality Assurance
Development of model and data attestation frameworks
Development of bespoke solutions and tools to enhance the effectiveness and efficiency of surveillance within Regulatory Compliance
Execute the assigned projects/ analysis as per the agreed timelines and with accuracy and quality.
Complete analysis as required and document results and formally present findings to management
Adhere with all the applicable compliance policies (Data security policy, operational risk, Functional manual, Group Compliance Manual, Audit recommendations, Internal Control requirements, relevant regulatory guidelines etc.) and the bank's business standards as applicable.
Lead projects and initiatives including supervision and mentoring of team members
Creative and analytical thought process and aptitude for problem solving;
Post Graduate qualifications (PhD in Physics, Engineering, Applied Mathematics, Statistics, Econometrics, or any other relevant quantitative discipline);
At least 5 to 10 years of post-qualification experience in relevant Analytics field. Knowledge and understanding of financial services preferred and market conduct landscape is preferred;
Knowledge of statistical and numerical techniques, data manipulation, feature engineering, linear and non-linear regressions, predictive modelling, machine learning (NN, CNN, SVM, Random Forest, Naïve Bayes, KNN, K-means and other Gradient Boosting algos, Image recognition, NLP, sentiment analysis, text abastraction), supervised, un-supervised, reinforced learning and evolutionary algorithms, sentiment analysis and text abstraction tools;
Strong experience in any of the following: Matlab, Python, R with relevant ML libraries;
Strong knowledge of Big Data stack such as Hadoop or Hortonworks, NoSQL (Elastic, MongoDB, HBase, Cassandra), Data ingestion tools (Flume, Kafka, Spark, Sqoop, Storm)
Project based business knowledge, and awareness of model risk governance;
Please send your CV to firstname.lastname@example.org
Please note our advertisements use PQE/salary levels purely as a guide. However we are happy to consider applications from all candidates who are able to demonstrate the skills necessary to fulfil the role.