Financial Engineer
- Employer
- Intercontinental Exchange
- Location
- London, United Kingdom
- Salary
- Competitive
- Closing date
- Dec 3, 2019
View more
- Job Function
- Accounting/Audit/Tax
- Industry Sector
- Finance - General
- Employment Type
- Full Time
- Education
- Bachelors
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Job Purpose
The Financial Engineer will play a key role in developing solutions using our new platform to support our growth business in fixed income and equity analytics content. The successful candidate will effectively collaborate with Product Development, Data Analysis, Program Management, Quantitative Research, IT, QA, and Operational groups. The data analysis efforts are primarily focused on analyzing quantitative analytic measures and the supporting reference data used to derive those calculations. The successful candidate will be part of a core team to support, develop and implement large scale data processing used in high performance computing capabilities to support our analytics.
Responsibilities
The Financial Engineer will have responsibilities that span both Data and Product Management roles.
Product Management
•Assist Product team by analyzing client data usage to help make product feature decisions
•Analyze product issues and provide appropriate resolutions
•Participate in new product feature design discussions
•Assist in creating documentation for data operation workflows, new data requirement specifications, and test cases for QA
•Suggest and implement improvements for fixed income and equity data analysis requirements
Data Management
•Audit and validate daily data production process to ensure critical data deliverables are available to clients the following morning
•Research and respond to client data inquiries and challenges
•Establish baseline metrics to give the product team insight into performance results of version upgrades and enhancements
•Produce historical analysis that highlights current analytic trends for different asset types
•Perform QA analysis on assigned projects
Knowledge and Experience
•Masters Degree in Math, Financial Engineering, Mathematical Finance, Computer Science or Finance
•Excellent Quantitative Analytic skills
•Applied experience with SQL or other data mining technology tools (e.g. Python, R, MatLab, etc)
•Excellent communication skills
•Must be a team player, have a flexible work schedule and be willing to work in a collaborative environment
•Self-starter, who is both disciplined and accountable for delivering accurate and timely results
•The successful candidate will be adaptable, results-focused and can work individually or as part of a team
Preferred
•Passed the CFA Level 1 or higher
•Applied understanding of Fixed Income, Equity and Derivative instruments
The Financial Engineer will play a key role in developing solutions using our new platform to support our growth business in fixed income and equity analytics content. The successful candidate will effectively collaborate with Product Development, Data Analysis, Program Management, Quantitative Research, IT, QA, and Operational groups. The data analysis efforts are primarily focused on analyzing quantitative analytic measures and the supporting reference data used to derive those calculations. The successful candidate will be part of a core team to support, develop and implement large scale data processing used in high performance computing capabilities to support our analytics.
Responsibilities
The Financial Engineer will have responsibilities that span both Data and Product Management roles.
Product Management
•Assist Product team by analyzing client data usage to help make product feature decisions
•Analyze product issues and provide appropriate resolutions
•Participate in new product feature design discussions
•Assist in creating documentation for data operation workflows, new data requirement specifications, and test cases for QA
•Suggest and implement improvements for fixed income and equity data analysis requirements
Data Management
•Audit and validate daily data production process to ensure critical data deliverables are available to clients the following morning
•Research and respond to client data inquiries and challenges
•Establish baseline metrics to give the product team insight into performance results of version upgrades and enhancements
•Produce historical analysis that highlights current analytic trends for different asset types
•Perform QA analysis on assigned projects
Knowledge and Experience
•Masters Degree in Math, Financial Engineering, Mathematical Finance, Computer Science or Finance
•Excellent Quantitative Analytic skills
•Applied experience with SQL or other data mining technology tools (e.g. Python, R, MatLab, etc)
•Excellent communication skills
•Must be a team player, have a flexible work schedule and be willing to work in a collaborative environment
•Self-starter, who is both disciplined and accountable for delivering accurate and timely results
•The successful candidate will be adaptable, results-focused and can work individually or as part of a team
Preferred
•Passed the CFA Level 1 or higher
•Applied understanding of Fixed Income, Equity and Derivative instruments
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