Analytics Specialist - Investments
•
• Hybrid (2wks on-site / 2 wks Remote) in Jersey City, NJ OR Merrimack, NH
•
• Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Our client, a global Investment Giant, is looking to engage an Analytics Specialist for their Advanced Technology team that supports Investment Management. In this role, you'll leverage your investment, quantitative, and data science skills for research and development of AI/ML methods to advise investment decision support solutions.
Responsibilities
• Advancing the research and development of AI/ML methods for innovative and differentiated investment management digital solutions
• Creating custom solutions to help clients evaluate and achieve investment objectives
• Effective partnering across technology, investment management, and client servicing teams
• Participate in transforming breakthrough technologies into practical capabilities for both internal and external investment clients
Experience Requirements
• Proven development of investment management algorithms (Python or R preferred)
• Proven experience designing/implementing machine learning models applying parallel computing techniques (experience with PySpark highly preferred)
• Proficiency with advanced SQL, Python
• Strong client engagement skills with portfolio managers, financial advisors and/or brokerage platform product managers
• Strong business communications skills for crafting and delivering compelling presentations
• Fundamental understanding of financial markets to articulate complex investment insights
• Ability to manage projects across multiple engagements, driving adoption of investment decision support products/services
• Academic training/work experience in the investment field
• Curiosity about and experience with machine learning, optimization, data science and related fields
• Knowledge of applied statistical models (e.g., time series analysis, regression, classification, dimension reduction)
• Confidence in evaluating practical problems using various mathematical techniques
• Experience with advanced techniques for evaluating large datasets
• Meticulous attention to detail
• Comfortable engaging in healthy debate and challenge
• A fast learner and a phenomenal teammate
Education Requirements
• Graduate degree or equivalent experience in mathematical finance, financial engineering or related fields
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact InfoSec@eliassen.com.
Job ID: JN -042025-101822
•
• Hybrid (2wks on-site / 2 wks Remote) in Jersey City, NJ OR Merrimack, NH
•
• Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Our client, a global Investment Giant, is looking to engage an Analytics Specialist for their Advanced Technology team that supports Investment Management. In this role, you'll leverage your investment, quantitative, and data science skills for research and development of AI/ML methods to advise investment decision support solutions.
Responsibilities
• Advancing the research and development of AI/ML methods for innovative and differentiated investment management digital solutions
• Creating custom solutions to help clients evaluate and achieve investment objectives
• Effective partnering across technology, investment management, and client servicing teams
• Participate in transforming breakthrough technologies into practical capabilities for both internal and external investment clients
Experience Requirements
• Proven development of investment management algorithms (Python or R preferred)
• Proven experience designing/implementing machine learning models applying parallel computing techniques (experience with PySpark highly preferred)
• Proficiency with advanced SQL, Python
• Strong client engagement skills with portfolio managers, financial advisors and/or brokerage platform product managers
• Strong business communications skills for crafting and delivering compelling presentations
• Fundamental understanding of financial markets to articulate complex investment insights
• Ability to manage projects across multiple engagements, driving adoption of investment decision support products/services
• Academic training/work experience in the investment field
• Curiosity about and experience with machine learning, optimization, data science and related fields
• Knowledge of applied statistical models (e.g., time series analysis, regression, classification, dimension reduction)
• Confidence in evaluating practical problems using various mathematical techniques
• Experience with advanced techniques for evaluating large datasets
• Meticulous attention to detail
• Comfortable engaging in healthy debate and challenge
• A fast learner and a phenomenal teammate
Education Requirements
• Graduate degree or equivalent experience in mathematical finance, financial engineering or related fields
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact InfoSec@eliassen.com.
Job ID: JN -042025-101822
