59 Kdb Jobs - Page 3

Project description Surveillance Enhancement Program (SEP) is a multi-year program (MYP) to build and enhance the surveillance platform to detect potential instances of market misconduct, market manipulation and market abuse. The Bank met its commitment to FCA (Financial Conduct Authority, FCA) to meet Market Abuse Regulation ("MAR") requirements for critical data sources in September 2017. Following that, subsequent projects were initiated to further enhance, expand and complement the current coverage of the automated surveillance platform. This project will focus on Alerts enhancements, Strategic data sourcing from FM order and trade lakes, UI / workflow enhancements to meet regulatory obligations (i.e. Market Abuse Regulation, Dodd Frank). This also includes Control Room & Suitability Monitoring related data, UI and scenario enhancements. Responsibilities Software programming using Q/KDB backend and UI development using Delta Stream Dash board builder. Perform data analysis and apply ML/AI based libraries for innovative solutions to the requirements / problems in Market Abuse Surveillance This role will work closely with business analysts and trade surveillance users Provide effort estimates of based on requirements to project managers Adhere to best practices, coding standards Keep the specification documentation updated and version controlled in Share point Skills Must have Technical: 5+ years of hands on experience in Development using q/KDB in financial domain. Proficiency in using JIRA for issue tracking (SCRUM boards) Prior experience in using ML/AI libraries in solving real world problems is a definite plusFunctional: Strong understanding of Financial Markets Asset Classes (FX, FI, Equities, Rates, Commodities & Credit), various trade types (OTC, exchange traded, Spot, Forward, Swap, Options) and related systems is a must. Surveillance domain knowledge, regulations (MAR, MIFID, CAT, Dodd Frank) and related Systems knowledge is certainly a plus

Project description Surveillance Enhancement Program (SEP) is a multi-year program (MYP) to build and enhance the surveillance platform to detect potential instances of market misconduct, market manipulation and market abuse. The Bank met its commitment to FCA (Financial Conduct Authority, FCA) to meet Market Abuse Regulation ("MAR") requirements for critical data sources in September 2017. Following that, subsequent projects were initiated to further enhance, expand and complement the current coverage of the automated surveillance platform. This project will focus on Alerts enhancements, Strategic data sourcing from FM order and trade lakes, UI / workflow enhancements to meet regulatory obligations (i.e. Market Abuse Regulation, Dodd Frank). This also includes Control Room & Suitability Monitoring related data, UI and scenario enhancements. Responsibilities Software programming using Q/KDB backend and UI development using Delta Stream Dash board builder. Perform data analysis and apply ML/AI based libraries for innovative solutions to the requirements / problems in Market Abuse Surveillance This role will work closely with business analysts and trade surveillance users Provide effort estimates of based on requirements to project managers Adhere to best practices, coding standards Keep the specification documentation updated and version controlled in Share point Skills Must have Technical: 2+ years of hands on experience in Development using q/KDB in financial domain. Proficiency in using JIRA for issue tracking (SCRUM boards) Prior experience in using ML/AI libraries in solving real world problems is a definite plusFunctional: Strong understanding of Financial Markets Asset Classes (FX, FI, Equities, Rates, Commodities & Credit), various trade types (OTC, exchange traded, Spot, Forward, Swap, Options) and related systems is a must. Surveillance domain knowledge, regulations (MAR, MIFID, CAT, Dodd Frank) and related Systems knowledge is certainly a plus

Project description We are looking for a KDB+ Test Engineer to join our expanding data reporting and analytics team, that are building solutions towards a strategic KDB+ Platform. Daily duties will involve working with data from various business areas by understanding requirements and developing test packs around the main data flows through the system. The system has analytics and solutions to aid our regulation projects as well as pricing/trading algorithms and ultimately P&L. Ideally you have experience with Q/KDB+ working in a similar environment and have front office knowledge of the FX, RATES business or quantitative finance.You should be comfortable building test-plans and test suites and manipulating of large data sets in a high frequency low latency environment. Responsibilities This role is an exciting opportunity to be part an agile multi-asset ecommerce trading system development team that is distributed between Singapore and London. The successful candidate is expected to: Take responsibility for the system component design and build Ensure developed code is fully tested through automated unit tests Build relationships with development and support teams Adhere to Bank''s Testing practices Manage application support handover as part of the QA process Maintain and enhance the test coverage after project go-live Build relationships with fellow QA/developers inside/outside FM, Infrastructure units etc. Advocate delivery excellence, ensuring application release quality Skills Must have 1+ years of hands on experience in q/KDB Experience working in a Linux/Unix environment Experience of working closely with the development team and product owners on requirements Experience/ability to understand FX products and services. Excellent oral and written communication skills, ability to interact with business representatives. Experience in test plans, performance tests, and test automation Nice to have Understanding of ecommerce product workflow across front office and middle office tiers KDB/Q, Python, Java KX Control Suite Pipelines Apache Nifi / Azure DevOps

Project description Surveillance Enhancement Program (SEP) is a multi-year program (MYP) to build and enhance the surveillance platform to detect potential instances of market misconduct, market manipulation and market abuse. The Bank met its commitment to FCA (Financial Conduct Authority, FCA) to meet Market Abuse Regulation ("MAR") requirements for critical data sources in September 2017. Following that, subsequent projects were initiated to further enhance, expand and complement the current coverage of the automated surveillance platform. This project will focus on Alerts enhancements, Strategic data sourcing from FM order and trade lakes, UI / workflow enhancements to meet regulatory obligations (i.e. Market Abuse Regulation, Dodd Frank). This also includes Control Room & Suitability Monitoring related data, UI and scenario enhancements. Responsibilities Software programming using Q/KDB backend and UI development using Delta Stream Dash board builder. Perform data analysis and apply ML/AI based libraries for innovative solutions to the requirements / problems in Market Abuse Surveillance This role will work closely with business analysts and trade surveillance users Provide effort estimates of based on requirements to project managers Adhere to best practices, coding standards Keep the specification documentation updated and version controlled in Share point Skills Must have Technical: 2+ years of hands on experience in Development using q/KDB in financial domain. Proficiency in using JIRA for issue tracking (SCRUM boards) Prior experience in using ML/AI libraries in solving real world problems is a definite plusFunctional: Strong understanding of Financial Markets Asset Classes (FX, FI, Equities, Rates, Commodities & Credit), various trade types (OTC, exchange traded, Spot, Forward, Swap, Options) and related systems is a must. Surveillance domain knowledge, regulations (MAR, MIFID, CAT, Dodd Frank) and related Systems knowledge is certainly a plus

Project description Surveillance Enhancement Program (SEP) is a multi-year program (MYP) to build and enhance the surveillance platform to detect potential instances of market misconduct, market manipulation and market abuse. The Bank met its commitment to FCA (Financial Conduct Authority, FCA) to meet Market Abuse Regulation ("MAR") requirements for critical data sources in September 2017. Following that, subsequent projects were initiated to further enhance, expand and complement the current coverage of the automated surveillance platform. This project will focus on Alerts enhancements, Strategic data sourcing from FM order and trade lakes, UI / workflow enhancements to meet regulatory obligations (i.e. Market Abuse Regulation, Dodd Frank). This also includes Control Room & Suitability Monitoring related data, UI and scenario enhancements. Responsibilities Software programming using Q/KDB backend and UI development using Delta Stream Dash board builder. Perform data analysis and apply ML/AI based libraries for innovative solutions to the requirements / problems in Market Abuse Surveillance This role will work closely with business analysts and trade surveillance users Provide effort estimates of based on requirements to project managers Adhere to best practices, coding standards Keep the specification documentation updated and version controlled in Share point Skills Must have Technical: 2+ years of hands on experience in Development using q/KDB in financial domain. Proficiency in using JIRA for issue tracking (SCRUM boards) Prior experience in using ML/AI libraries in solving real world problems is a definite plusFunctional: Strong understanding of Financial Markets Asset Classes (FX, FI, Equities, Rates, Commodities & Credit), various trade types (OTC, exchange traded, Spot, Forward, Swap, Options) and related systems is a must. Surveillance domain knowledge, regulations (MAR, MIFID, CAT, Dodd Frank) and related Systems knowledge is certainly a plus Location - Pune,Mumbai,Chennai,Banagalore

Project description Surveillance Enhancement Program (SEP) is a multi-year program (MYP) to build and enhance the surveillance platform to detect potential instances of market misconduct, market manipulation and market abuse. The Bank met its commitment to FCA (Financial Conduct Authority, FCA) to meet Market Abuse Regulation ("MAR") requirements for critical data sources in September 2017. Following that, subsequent projects were initiated to further enhance, expand and complement the current coverage of the automated surveillance platform. This project will focus on Alerts enhancements, Strategic data sourcing from FM order and trade lakes, UI / workflow enhancements to meet regulatory obligations (i.e. Market Abuse Regulation, Dodd Frank). This also includes Control Room & Suitability Monitoring related data, UI and scenario enhancements. Responsibilities Software programming using Q/KDB backend and UI development using Delta Stream Dash board builder. Perform data analysis and apply ML/AI based libraries for innovative solutions to the requirements / problems in Market Abuse Surveillance This role will work closely with business analysts and trade surveillance users Provide effort estimates of based on requirements to project managers Adhere to best practices, coding standards Keep the specification documentation updated and version controlled in Share point Skills Must have Technical: 2+ years of hands on experience in Development using q/KDB in financial domain. Proficiency in using JIRA for issue tracking (SCRUM boards) Prior experience in using ML/AI libraries in solving real world problems is a definite plusFunctional: Strong understanding of Financial Markets Asset Classes (FX, FI, Equities, Rates, Commodities & Credit), various trade types (OTC, exchange traded, Spot, Forward, Swap, Options) and related systems is a must. Surveillance domain knowledge, regulations (MAR, MIFID, CAT, Dodd Frank) and related Systems knowledge is certainly a plus

Project description Surveillance Enhancement Program (SEP) is a multi-year program (MYP) to build and enhance the surveillance platform to detect potential instances of market misconduct, market manipulation and market abuse. The Bank met its commitment to FCA (Financial Conduct Authority, FCA) to meet Market Abuse Regulation ("MAR") requirements for critical data sources in September 2017. Following that, subsequent projects were initiated to further enhance, expand and complement the current coverage of the automated surveillance platform. This project will focus on Alerts enhancements, Strategic data sourcing from FM order and trade lakes, UI / workflow enhancements to meet regulatory obligations (i.e. Market Abuse Regulation, Dodd Frank). This also includes Control Room & Suitability Monitoring related data, UI and scenario enhancements. Responsibilities Software programming using Q/KDB backend and UI development using Delta Stream Dash board builder. Perform data analysis and apply ML/AI based libraries for innovative solutions to the requirements / problems in Market Abuse Surveillance This role will work closely with business analysts and trade surveillance users Provide effort estimates of based on requirements to project managers Adhere to best practices, coding standards Keep the specification documentation updated and version controlled in Share point Skills Must have Technical: 5+ years of hands on experience in Development using q/KDB in financial domain. Proficiency in using JIRA for issue tracking (SCRUM boards) Prior experience in using ML/AI libraries in solving real world problems is a definite plusFunctional: Strong understanding of Financial Markets Asset Classes (FX, FI, Equities, Rates, Commodities & Credit), various trade types (OTC, exchange traded, Spot, Forward, Swap, Options) and related systems is a must. Surveillance domain knowledge, regulations (MAR, MIFID, CAT, Dodd Frank) and related Systems knowledge is certainly a plus Location - Pune,Mumbai,Chennai,Banagalore

Project description We are looking for a KDB+ Test Engineer to join our expanding data reporting and analytics team, that are building solutions towards a strategic KDB+ Platform. Daily duties will involve working with data from various business areas by understanding requirements and developing test packs around the main data flows through the system. The system has analytics and solutions to aid our regulation projects as well as pricing/trading algorithms and ultimately P&L. Ideally you have experience with Q/KDB+ working in a similar environment and have front office knowledge of the FX, RATES business or quantitative finance.You should be comfortable building test-plans and test suites and manipulating of large data sets in a high frequency low latency environment. Responsibilities This role is an exciting opportunity to be part an agile multi-asset ecommerce trading system development team that is distributed between Singapore and London. The successful candidate is expected to: Take responsibility for the system component design and build Ensure developed code is fully tested through automated unit tests Build relationships with development and support teams Adhere to Bank''s Testing practices Manage application support handover as part of the QA process Maintain and enhance the test coverage after project go-live Build relationships with fellow QA/developers inside/outside FM, Infrastructure units etc. Advocate delivery excellence, ensuring application release quality Skills Must have 1+ years of hands on experience in q/KDB Experience working in a Linux/Unix environment Experience of working closely with the development team and product owners on requirements Experience/ability to understand FX products and services. Excellent oral and written communication skills, ability to interact with business representatives. Experience in test plans, performance tests, and test automation Nice to have Understanding of ecommerce product workflow across front office and middle office tiers KDB/Q, Python, Java KX Control Suite Pipelines Apache Nifi / Azure DevOps

Project description Surveillance Enhancement Program (SEP) is a multi-year program (MYP) to build and enhance the surveillance platform to detect potential instances of market misconduct, market manipulation and market abuse. The Bank met its commitment to FCA (Financial Conduct Authority, FCA) to meet Market Abuse Regulation ("MAR") requirements for critical data sources in September 2017. Following that, subsequent projects were initiated to further enhance, expand and complement the current coverage of the automated surveillance platform. This project will focus on Alerts enhancements, Strategic data sourcing from FM order and trade lakes, UI / workflow enhancements to meet regulatory obligations (i.e. Market Abuse Regulation, Dodd Frank). This also includes Control Room & Suitability Monitoring related data, UI and scenario enhancements. Responsibilities Software programming using Q/KDB backend and UI development using Delta Stream Dash board builder. Perform data analysis and apply ML/AI based libraries for innovative solutions to the requirements / problems in Market Abuse Surveillance This role will work closely with business analysts and trade surveillance users Provide effort estimates of based on requirements to project managers Adhere to best practices, coding standards Keep the specification documentation updated and version controlled in Share point Skills Must have Technical: 5+ years of hands on experience in Development using q/KDB in financial domain. Proficiency in using JIRA for issue tracking (SCRUM boards) Prior experience in using ML/AI libraries in solving real world problems is a definite plusFunctional: Strong understanding of Financial Markets Asset Classes (FX, FI, Equities, Rates, Commodities & Credit), various trade types (OTC, exchange traded, Spot, Forward, Swap, Options) and related systems is a must. Surveillance domain knowledge, regulations (MAR, MIFID, CAT, Dodd Frank) and related Systems knowledge is certainly a plus