Location: Corning, NY, US, 14830
Corning is one of the world’s leading innovators in materials science. For more than 160 years, Corning has applied its unparalleled expertise in specialty glass, ceramics, and optical physics to develop products that have created new industries and transformed people’s lives.
Corning succeeds through sustained investment in R&D, a unique combination of material and process innovation, and close collaboration with customers to solve tough technology challenges.
Corning is one of the world’s leading innovators in materials science. For more than 160 years, Corning has applied its unparalleled expertise in specialty glass, ceramics, and optical physics to develop products that have created new industries and transformed people’s lives. Corning succeeds through sustained investment in R&D, a unique combination of material and process innovation, and close collaboration with customers to solve tough technology challenges. Odds are that the email you read this morning travelled over Corning Optical Fiber; the smartphone you used had a Corning cover lens; and the vehicle you took to work had cleaner emissions because of a Corning catalytic substrate. Time and again Corning Research has cleaned our world, kept us informed, and strengthened our personal connections.
This role is part of a strategic finance group, Enterprise Risk & Intelligence, which delivers analysis and insight on enterprise risk management techniques, enterprise value drivers and corporate financial strategy approaches. The group leverages three core competencies: quantitative (math, data science), capital markets and financial analysis skills. Projects will be approached as a team, with the Quantitative Finance Analyst expected to both complete independent analyses and engage collaboratively with the Quantitative Finance Managers. Using advanced modeling tools, the Quantitative Finance Analyst will provide objective and insightful analysis to Senior Management to inform their financial decision-making processes. The individual must possess competency in the application of quantitative methods to solve complex business problems. Some of the most commonly used tools include stochastic modeling, regression analysis, linear programming, factor analysis and data mining. The candidate should have interest in applying these quantitative methods to advance Corning’s decision-making capability within the Finance function.
Scope of Position:
The position of Quantitative Financial Analyst is an exciting opportunity to be a part of Corning's advanced analytic effort and to lead the adoption of analytic methods within our function. We are seeking to leverage mathematics, statistics, computer science and data science to complement traditional accounting and financial analysis. You will be successful in this position if you possess a quantitative background and experience in finance and economics. You should be proficient in applying quantitative techniques, such as Monte Carlo simulation, regression analysis, time-series modeling, to strategic financial problems.
Day to Day Responsibilities:
Supporting ERI Quantitative Analysis Manager to identify, assess and creatively tackle strategic financial issues that we face.
Performing business problem modeling and quantitative analytics to support departmental activities using established tools and practices, including stochastic modeling, regression analysis, time-series analysis and data mining.
Compiling data and sharing relevant and recent developments with analytical tools, best practices, and capital markets
Evaluating and recommending improvements to current models, metrics, and analytic processes improve operational efficiency
You will help define and document configuration requirements and data modeling requirements
Bachelor’s degree in quantitative discipline (Mathematics, Statistics, Computer Science, Economics, Finance)
Master’s degree in quantitative discipline such as finance, business analytics, marketing, quantitative analysis desired
Course work and/or interest in Finance and Economics
Course work and/or experience in mathematical modeling, computer programming
Must possess a quantitative approach to analyzing data and solving problems
Must be inquisitive and open to challenging traditional processes and thinking
Able to present technical analysis to senior level stakeholders.
Ability to both work independently and as part of cross functional teams
Proficiency in one or more techniques such as time-series analysis or Monte Carlo simulation
Experience with or comfortable learning relevant programming languages (e.g. Matlab, Python, R) or software packages
Competence in data visualization is a plus.
This position does not support immigration sponsorship.
We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, or veteran status or any other legally protected status.
Nearest Major Market: Corning