JerseyCityRecruiter Since 2001
the smart solution for Jersey City jobs

Quantitative Finance Analyst - MLWM

Company: Merrill Lynch
Location: Jersey City
Posted on: November 23, 2021

Job Description:

Job Description:The Merrill Lynch Wealth Management(MLWM) Business Oversight and Supervision Business Intelligence Analyst is responsible for the analysis and development of business and risk intelligence tools and frameworks for MLWM Business Oversight and Supervision. Role is responsible for designing and implementing analytical tools and predictive models based on that intelligence, creating efficiencies in leveraging existing reporting data / tools, and identifying analytics and dashboards that can mitigate and manage Supervisory risk. Other responsibilities include developing analytics for risk mitigation opportunities, as well as identifying, monitoring, and communicating trends and implementing recommendations based on those trends / analysis in support of achieving goals in line with business strategy.--Key Responsibilities:

  • Work with and coordinate with Supervision team members, Model Risk Management, Compliance, Risk and Audit to build sophisticated models, determine proper empirical methodology, organize data collection, write unique programs, prepare written reports, and summarize the results of analytic studies in formal and informal presentations.
  • Design, develop, test, and implement advanced predictive models and risk analytics tools utilizing data from Supervision, Compliance, and other key partners across GWIM.
  • Work with Supervision leads to understand business data requirements and translate them into predictive models and analytical tools.
  • Conduct research to apply techniques in natural language processing, financial engineering methodologies, and applied mathematics to suggest process improvements and risk mitigation analytics where applicable.
  • Develop state-of-the-art software tools to collect, and analyze large volumes of structured and/or unstructured data to streamline business processes and improvements and enhance the quality and efficiency of supervision and oversight
  • Key team member in the development of future state supervision Required Skills:
    • Candidate must possess an advanced graduate degree in Engineering, mathematics, statistics, computer science, actuarial science, economics or related technical field.
    • Strong background in machine learning, hypothesis testing, regression analysis, statistics, or probability at the graduate school level or higher, as well as experience creating predictive analytics with noisy data.
    • Background in text analytics, news aggregation and natural language processing.
    • 2 plus years of experience and knowledge in the field of quantitative research and the specialized area of financial engineering, data science, or risk analytics as it relates to the securities industry.
    • Knowledge of predictive model development and oversight.
    • Experience with and ability to work with data including rapid prototyping and coding skills using common data scientist tools (e.g., Python/R, Plotly, Shiny, Presto, Tensorflow, Keras, pyTorch)
    • Strong knowledge of advanced statistical methods, Bayesian learning techniques, pattern recognition and outlier detection algorithms, and predictive modeling methods including decision trees and random forest approaches.
    • Knowledge of financial engineering to develop, maintain and/or validate models used for forecasting, valuation, instrument and strategy selection, portfolio construction, and risk management covering a wide range of financial instruments, including equities, fixed income, currencies, futures, commodities, and/or derivatives.
    • Experience in utilizing sophisticated models and products for managing risks in portfolio construction, trade decision, and execution and hedging, including multi-factor models such as BARRA; risk management metrics and methods such as VaR and stress testing models, valuation and pricing, and model sensitivity and risk statistics.
    • Proficient communication skills both orally and in writing with stakeholders of varying analytics skill and knowledge levels.
    • Must be a self-starter and ability to multi-task and efficiency navigate changing priorities and responsibilities under tight deadlines.Job Band:H5Shift:--1st shift (United States of America)Hours Per Week:40Weekly Schedule:Referral Bonus Amount:0 --> Job Description:The Merrill Lynch Wealth Management(MLWM) Business Oversight and Supervision Business Intelligence Analyst is responsible for the analysis and development of business and risk intelligence tools and frameworks for MLWM Business Oversight and Supervision. Role is responsible for designing and implementing analytical tools and predictive models based on that intelligence, creating efficiencies in leveraging existing reporting data / tools, and identifying analytics and dashboards that can mitigate and manage Supervisory risk. Other responsibilities include developing analytics for risk mitigation opportunities, as well as identifying, monitoring, and communicating trends and implementing recommendations based on those trends / analysis in support of achieving goals in line with business strategy.--Key Responsibilities:
      • Work with and coordinate with Supervision team members, Model Risk Management, Compliance, Risk and Audit to build sophisticated models, determine proper empirical methodology, organize data collection, write unique programs, prepare written reports, and summarize the results of analytic studies in formal and informal presentations.
      • Design, develop, test, and implement advanced predictive models and risk analytics tools utilizing data from Supervision, Compliance, and other key partners across GWIM.
      • Work with Supervision leads to understand business data requirements and translate them into predictive models and analytical tools.
      • Conduct research to apply techniques in natural language processing, financial engineering methodologies, and applied mathematics to suggest process improvements and risk mitigation analytics where applicable.
      • Develop state-of-the-art software tools to collect, and analyze large volumes of structured and/or unstructured data to streamline business processes and improvements and enhance the quality and efficiency of supervision and oversight
      • Key team member in the development of future state supervision Required Skills:
        • Candidate must possess an advanced graduate degree in Engineering, mathematics, statistics, computer science, actuarial science, economics or related technical field.
        • Strong background in machine learning, hypothesis testing, regression analysis, statistics, or probability at the graduate school level or higher, as well as experience creating predictive analytics with noisy data.
        • Background in text analytics, news aggregation and natural language processing.
        • 2 plus years of experience and knowledge in the field of quantitative research and the specialized area of financial engineering, data science, or risk analytics as it relates to the securities industry.
        • Knowledge of predictive model development and oversight.
        • Experience with and ability to work with data including rapid prototyping and coding skills using common data scientist tools (e.g., Python/R, Plotly, Shiny, Presto, Tensorflow, Keras, pyTorch)
        • Strong knowledge of advanced statistical methods, Bayesian learning techniques, pattern recognition and outlier detection algorithms, and predictive modeling methods including decision trees and random forest approaches.
        • Knowledge of financial engineering to develop, maintain and/or validate models used for forecasting, valuation, instrument and strategy selection, portfolio construction, and risk management covering a wide range of financial instruments, including equities, fixed income, currencies, futures, commodities, and/or derivatives.
        • Experience in utilizing sophisticated models and products for managing risks in portfolio construction, trade decision, and execution and hedging, including multi-factor models such as BARRA; risk management metrics and methods such as VaR and stress testing models, valuation and pricing, and model sensitivity and risk statistics.
        • Proficient communication skills both orally and in writing with stakeholders of varying analytics skill and knowledge levels.
        • Must be a self-starter and ability to multi-task and efficiency navigate changing priorities and responsibilities under tight deadlines.Job Band:H5Shift:--1st shift (United States of America)Hours Per Week:40Weekly Schedule:Referral Bonus Amount:0 Job Description: The Merrill Lynch Wealth Management(MLWM) Business Oversight and Supervision Business Intelligence Analyst is responsible for the analysis and development of business and risk intelligence tools and frameworks for MLWM Business Oversight and Supervision. Role is responsible for designing and implementing analytical tools and predictive models based on that intelligence, creating efficiencies in leveraging existing reporting data / tools, and identifying analytics and dashboards that can mitigate and manage Supervisory risk. Other responsibilities include developing analytics for risk mitigation opportunities, as well as identifying, monitoring, and communicating trends and implementing recommendations based on those trends / analysis in support of achieving goals in line with business strategy.--Key Responsibilities:
          • Work with and coordinate with Supervision team members, Model Risk Management, Compliance, Risk and Audit to build sophisticated models, determine proper empirical methodology, organize data collection, write unique programs, prepare written reports, and summarize the results of analytic studies in formal and informal presentations.
          • Design, develop, test, and implement advanced predictive models and risk analytics tools utilizing data from Supervision, Compliance, and other key partners across GWIM.
          • Work with Supervision leads to understand business data requirements and translate them into predictive models and analytical tools.
          • Conduct research to apply techniques in natural language processing, financial engineering methodologies, and applied mathematics to suggest process improvements and risk mitigation analytics where applicable.
          • Develop state-of-the-art software tools to collect, and analyze large volumes of structured and/or unstructured data to streamline business processes and improvements and enhance the quality and efficiency of supervision and oversight
          • Key team member in the development of future state supervision Required Skills:
            • Candidate must possess an advanced graduate degree in Engineering, mathematics, statistics, computer science, actuarial science, economics or related technical field.
            • Strong background in machine learning, hypothesis testing, regression analysis, statistics, or probability at the graduate school level or higher, as well as experience creating predictive analytics with noisy data.
            • Background in text analytics, news aggregation and natural language processing.
            • 2 plus years of experience and knowledge in the field of quantitative research and the specialized area of financial engineering, data science, or risk analytics as it relates to the securities industry.
            • Knowledge of predictive model development and oversight.
            • Experience with and ability to work with data including rapid prototyping and coding skills using common data scientist tools (e.g., Python/R, Plotly, Shiny, Presto, Tensorflow, Keras, pyTorch)
            • Strong knowledge of advanced statistical methods, Bayesian learning techniques, pattern recognition and outlier detection algorithms, and predictive modeling methods including decision trees and random forest approaches.
            • Knowledge of financial engineering to develop, maintain and/or validate models used for forecasting, valuation, instrument and strategy selection, portfolio construction, and risk management covering a wide range of financial instruments, including equities, fixed income, currencies, futures, commodities, and/or derivatives.
            • Experience in utilizing sophisticated models and products for managing risks in portfolio construction, trade decision, and execution and hedging, including multi-factor models such as BARRA; risk management metrics and methods such as VaR and stress testing models, valuation and pricing, and model sensitivity and risk statistics.
            • Proficient communication skills both orally and in writing with stakeholders of varying analytics skill and knowledge levels.
            • Must be a self-starter and ability to multi-task and efficiency navigate changing priorities and responsibilities under tight deadlines. Shift:1st shift (United States of America) Hours Per Week:--40

Keywords: Merrill Lynch, Jersey City , Quantitative Finance Analyst - MLWM, Accounting, Auditing , Jersey City, New Jersey

Click here to apply!

Didn't find what you're looking for? Search again!

I'm looking for
in category
within


Log In or Create An Account

Get the latest New Jersey jobs by following @recnetNJ on Twitter!

Jersey City RSS job feeds