Financial Quantitative Analyst

Job Description

Job Description

To apply, please send your resume directly to [email protected].

Applications will only be considered if submitted through this email address.

Job Location: New York, NY

Salary Range: $100,547 to $164,485

Job Description:

Serve as the main point of contact, managing daily interactions with clients to lead financial model implementation projects; guide clients through in-depth requirements and design discussions, documenting key financial planning processes, data sets, quantitative approaches, and user roles involved in modeling; analyze clients’ business processes and financial data to design optimal financial model development approaches and model specifications; develop core analytical capabilities using advanced statistical and programming languages to model budgeting, financial forecasting, sales performance analytics, operational cost modeling, and workforce planning; maintain and modify developed financial models in Anaplan, adapting them to evolving client needs and changes in forecasting and analytics approaches; define model specifications and establish methods for data collection and updating, ensuring the precision and accuracy of model outputs; proactively manage projects, identifying key risks, issues, blockers, and action items throughout the implementation process; set priorities, scope, timeline, goals, and key milestones to drive successful project outcomes; deliver presentations on Anaplan software solutions to key users, from executives to day-to-day business users and financial analysts; conduct training sessions on Anaplan solutions for executives, system administrators, and business users; maintain a strong customer focus and demonstrate leadership to drive consensus and facilitate project-related decisions; lead the user acceptance testing process for Anaplan implementations, validating the outputs of financial models and ensuring compliance with user requirements, specifications, and scope; document project experiences as case studies and commercial materials; identify, track, and collect key performance metrics post-implementation, such as operational efficiency improvements and return on investment; build and present financial model demos in Anaplan to showcase analytical capabilities to prospective clients; organize and present at virtual webinars and in-person conferences; lead discovery calls with potential clients to understand their financial needs and pain points in financial planning, effectively communicating the benefits of Anaplan solutions; explain Anaplan product features and benefits, recommending implementation methodologies to clients and prospects; generate leads, engage potential clients, and promote Anaplan products and implementation services; develop data solution and pipeline integrations with Anaplan utilizing programming languages, including SQL, R, and Python.

Job Requirements:

Master’s degree in Quantitative Management, Data Analytics, or related field, or foreign equivalent, plus coursework or internship to include serving as the main point of contact, managing daily interactions with clients to lead financial model implementation projects; guiding clients through in-depth requirements and design discussions, documenting key financial planning processes, data sets, quantitative approaches, and user roles involved in modeling; analyzing clients’ business processes and financial data to design optimal financial model development approaches and model specifications; developing core analytical capabilities using advanced statistical and programming languages to model budgeting, financial forecasting, and sales performance analytics;  defining model specifications and establishing methods for data collection and updating, ensuring the precision and accuracy of model outputs; proactively managing projects, identifying key risks, issues, blockers, and action items throughout the implementation process; setting priorities, scope, timeline, goals, and key milestones to drive successful project outcomes; delivering presentations on solutions to key users, from executives to day-to-day business users and financial analysts; maintaining a strong customer focus and demonstrating leadership to drive consensus and facilitate project-related decisions; documenting project experiences as case studies; developing data solutions utilizing programming languages, including SQL, R, and Python.