Lead Financial Engineer

ICE; Atlanta (GA); On-site; USD 80,000 - 150,000; Full time

Job summary

An established industry player is seeking a Lead Financial Engineer to drive innovative solutions in fixed income and equity analytics. This role involves collaborating with cross-functional teams to enhance data quality and analytics processes. The successful candidate will leverage their extensive knowledge in quantitative analytics and fixed income math to support large-scale data processing initiatives. With a focus on accuracy and timely results, this position offers an exciting opportunity to contribute to high-performance computing capabilities. If you are a detail-oriented professional with a strong background in financial engineering, this is the perfect chance to make a significant impact in a dynamic environment.

Qualifications

• Masters degree in relevant fields required with extensive knowledge of fixed income math.
• Excellent quantitative analytic skills and experience with data mining tools.

Responsibilities

• Lead data quality analysis features on development projects.
• Ownership of auditing and validating production data quality for timely deliveries.

Skills

Quantitative Analytic Skills

Data Management

Detail oriented

Excellent communication skills

Team player

Self-starter

Education

Masters Degree in Maths

Masters Degree in Financial Engineering

Masters Degree in Mathematical Finance

Masters Degree in Computer Science

Masters Degree in Finance

Tools

SQL

Python

R

MatLab

Job description

Overview

Job Purpose

The Lead 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

• Lead Data Quality Analysis features on development projects
• Provide input and expertise in new product feature design discussions
• Ownership of auditing and validating production data quality to ensure critical deliveries are provided on-time and accurate for ICE customers
• Research and respond to client data inquiries and challenges
• Establish baseline metrics to give the development team insight into performance results of version upgrades and enhancements
• Produce historical analysis that highlights current analytic trends for different asset types
• Suggest and implement improvements for fixed income and equity data analysis requirements
• Create documentation for data operation workflows, new data requirement specifications, and test cases for QA
• Train, review and assign development tasks to Financial Engineers
• Data Management

Knowledge and Experience

• Masters Degree in Maths, Financial Engineering, Mathematical Finance, Computer Science or Finance
• Extensive knowledge of fixed income math
• Excellent Quantitative Analytic Skills
• Expert Experience with SQL or other data mining technology tools (e.g., Python, R, MatLab, etc)
• Excellent communication skills to report problems and clarify requirements
• Detail oriented and good organization 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.
• Good understanding of software SDLC

Preferred Qualifications:

• Passed the CFA Level 3

Intercontinental Exchange, Inc. is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin or ancestry, age, disability or veteran status, or other protected status.