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Data Scientist – Manchester Our Client an international organisation is looking to recruit a Data Scientist with 7 to 10 years expertise as a Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/ mathematical models, predict and segment data to hypothesize/ evolve uses cases to monetize data and generate other business value. Translate business needs to technical requirements and implementation. Experience of Big Data technologies/Big Data Analytics. C++, Java, Python, Shell Script R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline The position is based close to Manchester. The salary for this position will be circa £75K - £85K plus benefits. Please send your CV to us in Word format along with salary and availability details.

Project Manager with Digital Banking Operations and Artificial Intelligence AI We are seeking a Project Manager with Digital Banking Operations and Artificial Intelligence (AI) Projects experience to join our Client a bank based in Central London. This is a full-time role located in London, with flexibility for some remote work. As an AI project manager, you be responsible for overseeing and managing the implementation of AI projects within our digital banking operations. You will collaborate with cross-functional teams to define project goals, develop project plans, allocate resources, track progress, and ensure timely and successful delivery of projects. Experience and Qualifications Previous experience in project management, preferably within the banking or financial services industry Strong understanding of digital banking operations and Artificial Intelligence AI technologies Proven track record of successfully delivering complex projects on time and within budget Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams Strong problem-solving and decision-making abilities Knowledge of agile project management methodologies Experience with data analysis and reporting Ability to adapt to changing priorities and work well under pressure Project management certification (e.g., PMP) is a plus Bachelor's degree in a relevant field Areas to Consider 1. Customer Service Enhancement Chatbots and Virtual Assistants: Deploy AI-driven chatbots to handle routine inquiries, provide 24/7 support, and reduce wait times. Sentiment Analysis: Use AI to analyze customer feedback and sentiment from various channels to improve services. 2. Fraud Detection and Prevention Real-Time Monitoring: Implement AI algorithms to detect and flag unusual transactions in real-time. Predictive Analytics: Use machine learning models to predict potential fraud based on historical data and behavioural patterns. 3. Loan Processing Automation Credit Scoring: AI can evaluate creditworthiness more accurately by analyzing a wider range of data points. Document Verification: Automate the verification of documents submitted for loan applications, speeding up the approval process. 4. Personalized Banking Services Customer Insights: Leverage AI to gain insights into customer behaviour and preferences, allowing for personalized product recommendations. Marketing Campaigns: Use AI to target customers with tailored marketing campaigns based on their transaction history and preferences. 5. Risk Management Risk Assessment: AI can analyze market trends and economic indicators to provide early warnings about potential risks. Compliance Monitoring: Automate compliance checks and monitoring to ensure adherence to regulations and reduce the risk of non-compliance penalties. 6. Operational Efficiency Process Automation: Use robotic process automation (RPA) to handle repetitive tasks such as data entry, account reconciliation, and report generation. Workflow Optimization: AI can optimize workflows by identifying bottlenecks and suggesting improvements. Implementation Strategy Assessment: Evaluate the current state of digital banking operations and identify areas where AI can add value. Pilot Projects: Start with pilot projects to test AI applications in a controlled environment. Scalability: Ensure that AI solutions are scalable and can handle increasing volumes of data and transactions. Employee Training: Train staff on AI tools and their applications to ensure seamless integration. Continuous Improvement: Regularly update AI models and algorithms based on new data and evolving business needs. Challenges and Considerations Data Quality: Ensure high-quality data for accurate AI predictions and analysis. Regulatory Compliance: Stay compliant with financial regulations while implementing AI solutions. Customer Trust: Maintain transparency in AI-driven decisions to build and maintain customer trust. Integration: Seamlessly integrate AI with existing banking systems and processes. The main emphasis of this position to is harness the data from a variety of data tables at the bank and collate a Data Lake from which to extract a variety of AI reports to increase the banks customer strategy. By strategically implementing AI in these areas, a Digital Banking Operations Manager can greatly improve the efficiency, security, and customer satisfaction in digital banking operations. The position will be hybrid 3 days a week in the office. The salary is negotiable depending on experience but probably in the range £80K - £120K plus benefits. Do send your CV to us in Word format along with your salary and notice period.

Testeur Xray, Gherkins, postman - LyonProject contextMissions tests : Des tests Postman Des tests Gherkin avec automatisation Des tests fonctionnels / exploratoires Le périmètre de tests sera sur des sujets fonctionnels plutôt que de algorithmes complexes afin de simplifier son arrivée. Compétences Xray, Gherkins, postman Expected skillsSkillsSkill level GHERKIN Confirmed POSTMAN Expert Testeur Xray, Gherkins, postman - LyonProject contextMissions tests : Des tests Postman Des tests Gherkin avec automatisation Des tests fonctionnels / exploratoires Le périmètre de tests sera sur des sujets fonctionnels plutôt que de algorithmes complexes afin de simplifier son arrivée.

Notre équipe quantitative est à la recherche d'un(e) Quant Senior expérimenté(e) pour jouer un rôle moteur dans le développement et la mise en œuvre de notre nouveau Framework quantitatif générique. Ce Framework est conçu pour offrir une flexibilité et une robustesse accrues dans la modélisation des produits de taux exotiques, en adoptant une approche basée sur le modèle Libor Market Model (LMM), plus connu sous le nom de BGM. Le/la candidat(e) retenu(e) sera un contributeur clé à l'adoption de cette nouvelle méthodologie. Besoin : Le/la candidat(e) sera responsable de la conception, du développement et de l'intégration des modèles de pricing pour les produits de taux exotiques au sein de ce nouveau Framework quantitatif générique. L'objectif principal est d'implémenter de manière performante et flexible des modèles basés sur l'approche BGM, en garantissant la qualité du code C++ et la pertinence des implémentations pour une large gamme de produits exotiques. Le/la candidat(e) devra également contribuer à la documentation des modèles et s'assurer de leur alignement avec les besoins du trading. Missions principales : Le/la candidat(e) aura pour missions principales de : 1. Développement du Framework Quantitatif Générique (Approche BGM) : o Concevoir et implémenter en C++ les composants essentiels du nouveau Framework quantitatif générique, basés sur les principes du modèle BGM. o Développer les modules de gestion des courbes de taux, des volatilités et des corrélations nécessaires à l'approche BGM. o Implémenter les algorithmes de pricing (ex: Monte Carlo, méthodes déterministes) optimisés pour le modèle BGM au sein du Framework. 2. Modélisation et Pricing de Taux Exotiques : o Adapter et intégrer les modèles de pricing spécifiques aux produits de taux exotiques dans le nouveau Framework. o Développer les fonctionnalités permettant de pricer une gamme étendue de produits structurés de taux en utilisant le nouveau Framework. o Veiller à la flexibilité du Framework pour supporter de futurs produits ou modifications de modèles. 3. Performance et Qualité du Code : o Garantir la haute performance des calculs quantitatifs implémentés, en optimisant le code C++ pour des environnements de trading exigeants. o Assurer la robustesse, la maintenabilité et la qualité du code développé, en respectant les bonnes pratiques de développement logiciel. o Participer activement aux revues de code avec les autres membres de l'équipe quantitative. 4. Documentation et Collaboration : o Rédiger une documentation technique et méthodologique complète sur le Framework BGM, les modèles développés et les produits pricés. o Collaborer étroitement avec les équipes de trading pour comprendre leurs besoins, valider les développements et assurer l'adoption du nouveau Framework. o Travailler en synergie avec les autres équipes quantitatives et potentiellement IT pour l'intégration et le déploiement du Framework.