Marsh McLennan
Front Office Trading Technology & Data Analyst
We are seeking a talented individual to join our Mercer Direct Investment/SECOR team at Mercer. This role will be based in New York City and offers a hybrid work arrangement, requiring a minimum of three days per week in the office. As a Front Office Trading Technology & Data Analyst, you will play a key role in supporting the entire trade lifecycle, from order staging to post-trade analysis, while providing insights to optimize trading strategies. You'll lead the design of trading workflows across multiple asset classes, collaborating with traders and portfolio managers to enhance platforms and processes. Developing APIs and microservices, ensuring data accuracy, and resolving data discrepancies will be central to maintaining operational efficiency. This role offers the opportunity to drive technological and data quality improvements in a dynamic trading environment! We will count on you to: Help lead the design and implementation of trading workflows across multiple asset classes, integrating order staging, execution, and booking processes Collaborate with portfolio managers and traders to gather requirements and deliver enhancements to order management and execution management platforms Develop and maintain APIs and microservices to support real-time trade execution and post-trade processing Implement data quality checks and validation rules to ensure accuracy and consistency of financial data Collaborate with front and middle office teams to address data discrepancies quickly Act as the primary point of contact for data quality issues between front and middle office teams. Maintain documentation of data quality checks and escalation procedures Conduct root cause analysis for data issues and implement long-term solutions Drive improvements in data quality processes and standards What you need to have: Bachelor's degree in Engineering, Statistics, Mathematics or Computer Science preferred 2+ years of experience with financial products and trading systems Experience with modern web frameworks and libraries (e.g., FastAPI, Flask, React, MUI) Strong coding capability in Python Solid understanding of SQL Proven ability to work across the full software development lifecycle in a fast-paced, collaborative environment Strong communication and problem-solving skills Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have an impact on colleagues, clients, and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.
We are seeking a talented individual to join our Mercer Direct Investment/SECOR team at Mercer. This role will be based in New York City and offers a hybrid work arrangement, requiring a minimum of three days per week in the office. As a Front Office Trading Technology & Data Analyst, you will play a key role in supporting the entire trade lifecycle, from order staging to post-trade analysis, while providing insights to optimize trading strategies. You'll lead the design of trading workflows across multiple asset classes, collaborating with traders and portfolio managers to enhance platforms and processes. Developing APIs and microservices, ensuring data accuracy, and resolving data discrepancies will be central to maintaining operational efficiency. This role offers the opportunity to drive technological and data quality improvements in a dynamic trading environment! We will count on you to: Help lead the design and implementation of trading workflows across multiple asset classes, integrating order staging, execution, and booking processes Collaborate with portfolio managers and traders to gather requirements and deliver enhancements to order management and execution management platforms Develop and maintain APIs and microservices to support real-time trade execution and post-trade processing Implement data quality checks and validation rules to ensure accuracy and consistency of financial data Collaborate with front and middle office teams to address data discrepancies quickly Act as the primary point of contact for data quality issues between front and middle office teams. Maintain documentation of data quality checks and escalation procedures Conduct root cause analysis for data issues and implement long-term solutions Drive improvements in data quality processes and standards What you need to have: Bachelor's degree in Engineering, Statistics, Mathematics or Computer Science preferred 2+ years of experience with financial products and trading systems Experience with modern web frameworks and libraries (e.g., FastAPI, Flask, React, MUI) Strong coding capability in Python Solid understanding of SQL Proven ability to work across the full software development lifecycle in a fast-paced, collaborative environment Strong communication and problem-solving skills Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have an impact on colleagues, clients, and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.