Sr Quantitative Analyst-Safety and Human Performance
Delmarva Power & Light Co., Chicago, IL, United States
Primary Purpose
The Sr Quantitative Analyst for Safety & Human Performance will design and develop dashboards that extract data/learnings from the various systems the department utilizes to collect data from the line organization on safe work performance to facilitate heightened risk management and assist in overall strategic planning for innovative deployment of resources, corrective actions, and best practices. The successful candidate will collaborate directly with Safety, Performance Assessment Group, I.T., risk analysts, and the line organization. They will apply quantitative techniques to measure and analyze model risks and form opinions on the strengths and opportunities of the data sets. A solid understanding of A.I., large language modeling, and other modeling techniques along with a strong foundation in programing, statistical methods, and data analysis is essential.
Primary Duties
Leverage in-depth technical knowledge of predictive analytics, statistics, modelling techniques and simulation approaches to develop valuation, risk management, and various models. (30%)
Conduct research and produce proof-of-concept demonstration systems to test new quantitative modeling approaches and solutions to complex problems (20%)
Translate quantitative and business concepts into efficient, robust, supportable system design and architecture. (15%)
Engage with department stakeholders to automate manual processes (10%)
Partner with IT to develop complex data structures and a business intelligence platform for reporting end user data mining (15%)
Partner with stakeholder analytics teams across ComEd and the Enterprise to expand the use and gather feedback on the models and systems (10%)
Job Scope
Reports to the Sr Manager Safety/Human Performance
Works under minimal supervision, relying on knowledge, skills and judgment acquired through education and relevant experience to plan and accomplish assigned tasks and goals
Minimum Qualifications
Bachelor's degree in quantitative field
4-7 years of relevant experience
Thorough understanding of applied and financial mathematics concepts and techniques (including advanced statistical techniques)
Ability to use a broad range of development languages (e.g. C/C++, Python, Perl, Matlab, etc.), and databases query languages
Ability to quickly master industry fundamental concepts including energy commodity markets, portfolio valuation, and system dynamics
Should be self-driven and able to work in (and lead) team sizes ranging from individual contribution to several members.
Preferred Qualifications
Masters or PhD in quantitative field
Energy industry experience
Prior experience in an operation research role
In-depth experience in one or more programming language
Background in applied system dynamics theory
Ideal candidate with have experience performing advanced quantitative analysis and developing and/or validating risk models to support senior managers in running their quantitative strategies.
Benefits
Annual salary will vary based on a candidate’s skills, qualifications, experience, and other factors: $95,200.00/Yr. – $130,900.00/Yr.
Annual Bonus for eligible positions: 15%
401(k) match and annual company contribution
Medical, dental and vision insurance
Life and disability insurance
Generous paid time off options, including vacation, sick time, floating and fixed holidays, maternity leave and bonding/primary caregiver leave or parental leave
Employee Assistance Program and resources for mental and emotional support
Wellbeing programs such as tuition reimbursement, adoption and surrogacy assistance and fitness reimbursement
Referral bonus program
And much more
Note: Exelon-sponsored compensation and benefit programs may vary or not apply based on length of service, job grade, job classification or represented status. Eligibility will be determined by the written plan or program documents.
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The Sr Quantitative Analyst for Safety & Human Performance will design and develop dashboards that extract data/learnings from the various systems the department utilizes to collect data from the line organization on safe work performance to facilitate heightened risk management and assist in overall strategic planning for innovative deployment of resources, corrective actions, and best practices. The successful candidate will collaborate directly with Safety, Performance Assessment Group, I.T., risk analysts, and the line organization. They will apply quantitative techniques to measure and analyze model risks and form opinions on the strengths and opportunities of the data sets. A solid understanding of A.I., large language modeling, and other modeling techniques along with a strong foundation in programing, statistical methods, and data analysis is essential.
Primary Duties
Leverage in-depth technical knowledge of predictive analytics, statistics, modelling techniques and simulation approaches to develop valuation, risk management, and various models. (30%)
Conduct research and produce proof-of-concept demonstration systems to test new quantitative modeling approaches and solutions to complex problems (20%)
Translate quantitative and business concepts into efficient, robust, supportable system design and architecture. (15%)
Engage with department stakeholders to automate manual processes (10%)
Partner with IT to develop complex data structures and a business intelligence platform for reporting end user data mining (15%)
Partner with stakeholder analytics teams across ComEd and the Enterprise to expand the use and gather feedback on the models and systems (10%)
Job Scope
Reports to the Sr Manager Safety/Human Performance
Works under minimal supervision, relying on knowledge, skills and judgment acquired through education and relevant experience to plan and accomplish assigned tasks and goals
Minimum Qualifications
Bachelor's degree in quantitative field
4-7 years of relevant experience
Thorough understanding of applied and financial mathematics concepts and techniques (including advanced statistical techniques)
Ability to use a broad range of development languages (e.g. C/C++, Python, Perl, Matlab, etc.), and databases query languages
Ability to quickly master industry fundamental concepts including energy commodity markets, portfolio valuation, and system dynamics
Should be self-driven and able to work in (and lead) team sizes ranging from individual contribution to several members.
Preferred Qualifications
Masters or PhD in quantitative field
Energy industry experience
Prior experience in an operation research role
In-depth experience in one or more programming language
Background in applied system dynamics theory
Ideal candidate with have experience performing advanced quantitative analysis and developing and/or validating risk models to support senior managers in running their quantitative strategies.
Benefits
Annual salary will vary based on a candidate’s skills, qualifications, experience, and other factors: $95,200.00/Yr. – $130,900.00/Yr.
Annual Bonus for eligible positions: 15%
401(k) match and annual company contribution
Medical, dental and vision insurance
Life and disability insurance
Generous paid time off options, including vacation, sick time, floating and fixed holidays, maternity leave and bonding/primary caregiver leave or parental leave
Employee Assistance Program and resources for mental and emotional support
Wellbeing programs such as tuition reimbursement, adoption and surrogacy assistance and fitness reimbursement
Referral bonus program
And much more
Note: Exelon-sponsored compensation and benefit programs may vary or not apply based on length of service, job grade, job classification or represented status. Eligibility will be determined by the written plan or program documents.
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