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Market Risk Analyst
2 months ago
As a Market Risk Analyst, you'll play a key role in bolstering our Market Risk team in trading risk management. This role will encompass validating, crafting, and deploying quantitative models that assess risks intrinsic to energy and commodity markets.
Major responsibilities include, but are not limited to: Model validation/improvement/development: Construct, validate, and fine-tune sophisticated risk models spanning market (price, volatility, correlation), Exposure and liquidity risk segments, e.g., VaR, PFE, EaR, funding and market liquidity
Model implementation: various at-Risk models (VaR, GMaR, Congestion at-Risk, etc) as well as Stressed/Scenario models (PFE, LGD, etc)
Assists development of energy price forecast, forward curve, and volatility models
Expertise in Fundamental analysis of Power, Gas, and REC markets
Assist in the Market fundamentals analysis and reporting, and training junior members
Valuation modeling for price verification and model validation purposes: Value exotic products, e.g., full-requirements/load following deals, long-dated deals
Designs and constructs risk management tools used in evaluating company's risk profile and exposure levels
Continuous Enhancement: Evolve and adapt risk models in response to shifting business strategies and dynamic market conditions
Scenario Exploration: Undertake comprehensive scenario analyses and stress tests to gauge potential repercussions of adverse market conditions
Collaboration: Work closely with cross-functional squads to guarantee seamless integration of risk models
High level of involvement in month, quarter, and year-end closing processes
Conform to SOX controls processes and innovate stronger controls
Mentor junior colleagues in best quantitative practices
Assist in the development of core algorithms and models to support trading, origination, and asset pricing/optimization/hedging recommendation
Performs other job-related duties as assigned Education and Experience:
Advanced degree in a finance discipline such as Financial Engineering, Mathematics, Statistics, Economics, or related science and engineering fields
Experience as a quantitative analyst or related roles in a trading environment, 3+ years Skills, Knowledge, and Abilities:
Strong programming skills in languages such as Python or R for conducting quantitative analysis, 3+ years
Good knowledge in stochastic modeling, e.g., GBM
Good knowledge in Excel including pivot tables, Power Queries, and advanced Formulas
Good interpersonal communication and presentation skills
Exposure to regulatory expectations and industry standards concerning risk management practices
Professional and passionate about Energy Trading risk management
Experience with ETRM (Energy Trading Risk Management) systems and Oracle database Licenses, Certifications, and/or Testing: None
Working Conditions: Working conditions will be office based and must be able to work additional hours on short notice.
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