Enverus Senior Quantitative Analyst in Centennial, Colorado
Senior Quantitative Analyst
Why YOU want this position
Since our founding as a groundbreaking provider of oil & gas data, we have evolved our solutions to cover oil & gas analytics, trading & risk, and business automation for customers across the energy industry. Enverus represents this growth while bringing us closer together as one team. Enverus delivers business-critical insights to the global energy industry through a state-of-the-art SaaS platform built on industry-leading data and energy analytics. Our solutions deliver value across the entire energy value chain, empowering customers to be more agile, efficient, and competitive. The range of energy industry participants we serve includes exploration and production (E&P) companies and related businesses such as oilfield services, midstream, capital markets, power generators and utilities, energy traders, and downstream commercial & industrial energy consumers.
Enverus is seeking an experienced quantitative scientist with optimization modeling expertise and with a successful track record of accurately solving high-level problems by using mathematical modeling, optimization, and statistical analysis. We pride ourselves on our high-quality work and we are meticulous about maintaining a high standard of accuracy across our services. In this role, you will report to the Senior Director of Energy Analytics.
This position will require you to have a strong internal motor and the desire to go beyond our core hours when necessary. You will be supported by some of the most well-regarded energy sector analysts and you will have the opportunity to work in a high-performance culture with challenging and exciting work.
Work as part of a team of 2-3 Ph.D. qualified quantitative analysts.
Identify, define, design, and develop quantitative models that enhance existing or new products and services. Models are focused on energy commodity optimization, including modeling and simulation of supply, demand, prices, and network flows.
Work alongside analyst and IT teams to operationalize and maintain models
Proficient in optimization modeling languages (GAMS, AMPL) and solvers (CONOPT, CPLEX).
Proficient in accessing large data sets using Microsoft SQL Server, or another RDBMS. Includes writing and editing SQL scripts, and participating in the buildout of new databases as models require.
Proficient in gathering, vetting, and analyzing data from various public and private sources.
Working knowledge of scripting languages, such as R or Python.
Competitive Candidate Profile
Bachelor’s degree in Operations Research, Applied Mathematics, Computer Science, Statistics, or other related disciplines. Master’s/PhD degree preferred.
3-5 years of experience in energy markets focused work.
Working knowledge of operations research theory including linear, nonlinear, and integer programming. Experience with network optimization and/or blending problems a plus.
High energy level, high attention to detail, self-motivated, and innovative.
Works well in a team environment, focusing on collaboration and adapting to the needs of a diverse team.
Enverus is proud to be an Equal Employment Opportunity and Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran, or any other characteristic protected by law.
The Company provides equal employment and affirmative action opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability