7917 Job openings found

Chemical Engineer with vast experience as process technologist in petrochemical/ chemical/pharmaceuticals process in R&D. • Possess proven R&D skills for various chemical / polymer process technology development / transfer technology.  Core Skills: • Experience in setting up laboratories and experimental set ups for high temperature high pressure gas-liquid-solid catalyzed reactions, laboratory and ...

1. Market risk Model lifecycle support (data preparation, development, validation, implementation in production systems, monitoring, governance) 2. Counterparty credit risk Model lifecycle support Models for underlying risk factors, calculation of future potential exposures, aggregation across products and netting sets 3. Derivative pricing Front-office pricing support Model development Independent validation 4. Stress testing Stress testing of the trading book, for regulatory ...

Designation : Consultant/Sr.Consultant/Manager/Sr.Manager Aptivaa Consulting is looking out for candidates with past experience in the risk managementspace for its Risk Consulting group. The individual would be expected to work most of his/hertime working with client service teams across the globe on risk management (more specificallymodeling) issues, including credit risk as well ...

Experience in Credit risk modelling is a must. Banking / Insurance / Financial Domain Candidates from anywhere in India but ready to work in KSA Location (Saudi Arabia. Key Responsibilities: 1) Solve analytically complex client problems in the Risk domain like developing CreditRisk Scoring Models for clients in the financial sector.2) Lead modeling workstream ...

The role involves conducting data analytics to come up withsolutions for business. Gathers, interprets, and uses complex data to developactionable steps that will improve processes and optimizeresults. model development and management Liaising with internal and external stakeholders like IT,Credit, collections, and external vendors. Create customer base for up-sale/cross-sale campaignsthrough analytics ...

  Roles and Responsibilities Preforming Risk Analytics activities to develop models and support the bank on various analytical initiatives Assist in modeling key risk estimates PD, LGD and EAD for AIRB and IFRS9 framework Regularly engage in model development, validation, and re-development activities Other risk analytics activities include assisting in review and re-development of Macro-Economic ...

Responsibility:   Powertrain vehicle function concept development based on function benchmarking. New vehicle function model development & validation. Final spec development after detail DFMEA & Design reviews.   Technical Competencies:   Perform requirement engineering and function development of function such powertrain vehicle function and CNG software in ECU. Perform function benchmarking suing actual vehicle and literature study. Prepare ...

Required Skillset: 6-10 years of experience in Risk Management with consulting firms or Banks and other Financial Services Certifications like CFA, FRM, CQF Proficiency in MS Excel and PowerPoint Excellent knowledge of AI/ML techniques, including Python, R, and other relevant tools Strong communication skills (oral, written, and email drafting skills) Good organizational, analytical, problem-solving, and project ...

Responsibilities: ML model development. Graph Analytics. Data/Semantic modeling. Graph databases. Research and develop statistical learning models for data analysis. Collaborate with product management and engineering departments to understand company needs and devise possible solutions. Keep up-to-date with the latest technology trends. Communicate results and ideas to key decision makers. Implement new statistical or other mathematical methodologies as needed for ...

Responsibilities: Production pipeline development/deployment. DevOps tools. Automation/Orchestration. Release management. Model Testing. Environment Security. Performance Testing. Data governance. Design the data pipelines and engineering infrastructure Take offline models data scientists to build and turn them into a real machine learning production system. Identify and evaluate new technologies to improve the performance, maintainability, and reliability of our client's machine learning systems. Apply software engineering ...