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Sr Quantitative Finance Analyst

Jersey City, New Jersey;

Job Description:

Overview of the Role
As a Senior Quantitative Finance Analyst on the Enterprise Risk Analytics team, your main responsibilities will involve:

Responsible for independently conducting quantitative analytics and modeling projects. Responsible for developing new models, analytic processes or systems approaches. Creates documentation for all activities and works with Technology staff in design of any system to run models developed. Incumbents possess excellent quantitative/analytic skills and a broad knowledge of financial markets and products.

Primary Responsibilities:
• Applying quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements
• Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks
• Understanding and executing activities that form the end-to-end model development and use life cycle
• Clearly documenting and effectively communicating quantitative methods as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, model validation, technology

Position Overview
Responsible for independently conducting quantitative analytics and complex modeling projects. Leads efforts in development of new models, analytic processes or system approaches. Creates documentation for all activities and may work with technology staff in design of any system to run models developed. Incumbents possess excellent quantitative/analytic skills and are able to influence strategic direction, as well as develop tactical plans.

Required Education, Skills, and Experience
• Graduate degree in quantitative discipline (e.g. Mathematics, Economics, Engineering, Finance, Physics)
• 3+ years (2+ years with a PhD) of experience in model development, statistical work, data analytics or quantitative research
• Ability to work in a large, complex organization, and influence various stakeholders and partners
• Self-starter; Initiates work independently, before being asked
• Strong team player able to seamlessly transition between contributing individually and collaborating on team projects; Understands that individual actions may require input from manager or peers; Knows when to include others
• Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences
• Effectively creates a compelling story using data; Able to make recommendations and articulate conclusions supported by data
• Effectively presents findings, data, and conclusions to influence senior leaders
• Ability to work in a highly controlled and audited environment
• Effective at prioritization, and time and project management
• Strong Programming skills e.g. R, Python, SAS, SQL, R or other languages
• Strong analytical and problem-solving skills

Desired Skills and Experience
The ideal candidate will possess the following skills and experience

• Experience with complex data architecture, including modeling and data science tools and libraries, data warehouses, and machine learning
• Knowledge of predictive modeling, statistical sampling, optimization, machine learning and artificial intelligence techniques
• Strong technical writing, communication and presentation skills and ability to effectively communicate quantitative topics with non-technical audiences
• Effective at prioritization/time and project management
• Broad understanding of financial products
• Ability to extract, analyze, and merge data from disparate systems, and perform deep analysis
• Experience designing, developing, and applying scalable Machine Learning and Artificial Intelligence solutions
• Demonstrated ability to drive action and sustain momentum to achieve results
• Demonstrated leadership skills; Ability to exert broad influence among peers
• Experience with engineering complex, multifaceted processes that span across teams; Able to document process steps, inputs, outputs, requirements, identify gaps and improve workflow
• Sees the broader picture and is able to identify new methods for doing things
• Experience with LaTeX

Job Band:

H4

Shift: 

1st shift (United States of America)

Hours Per Week:

40

Weekly Schedule:

Referral Bonus Amount:

0

Job Description:

Overview of the Role
As a Senior Quantitative Finance Analyst on the Enterprise Risk Analytics team, your main responsibilities will involve:

Responsible for independently conducting quantitative analytics and modeling projects. Responsible for developing new models, analytic processes or systems approaches. Creates documentation for all activities and works with Technology staff in design of any system to run models developed. Incumbents possess excellent quantitative/analytic skills and a broad knowledge of financial markets and products.

Primary Responsibilities:
• Applying quantitative methods to develop capabilities that meet line of business, risk management and regulatory requirements
• Maintaining and continuously enhancing capabilities over time to respond to the changing nature of portfolios, economic conditions and emerging risks
• Understanding and executing activities that form the end-to-end model development and use life cycle
• Clearly documenting and effectively communicating quantitative methods as part of ongoing engagement with key stakeholders, including the lines of business, risk managers, model validation, technology

Position Overview
Responsible for independently conducting quantitative analytics and complex modeling projects. Leads efforts in development of new models, analytic processes or system approaches. Creates documentation for all activities and may work with technology staff in design of any system to run models developed. Incumbents possess excellent quantitative/analytic skills and are able to influence strategic direction, as well as develop tactical plans.

Required Education, Skills, and Experience
• Graduate degree in quantitative discipline (e.g. Mathematics, Economics, Engineering, Finance, Physics)
• 3+ years (2+ years with a PhD) of experience in model development, statistical work, data analytics or quantitative research
• Ability to work in a large, complex organization, and influence various stakeholders and partners
• Self-starter; Initiates work independently, before being asked
• Strong team player able to seamlessly transition between contributing individually and collaborating on team projects; Understands that individual actions may require input from manager or peers; Knows when to include others
• Strong communication skills and ability to effectively communicate quantitative topics to technical and non-technical audiences
• Effectively creates a compelling story using data; Able to make recommendations and articulate conclusions supported by data
• Effectively presents findings, data, and conclusions to influence senior leaders
• Ability to work in a highly controlled and audited environment
• Effective at prioritization, and time and project management
• Strong Programming skills e.g. R, Python, SAS, SQL, R or other languages
• Strong analytical and problem-solving skills

Desired Skills and Experience
The ideal candidate will possess the following skills and experience

• Experience with complex data architecture, including modeling and data science tools and libraries, data warehouses, and machine learning
• Knowledge of predictive modeling, statistical sampling, optimization, machine learning and artificial intelligence techniques
• Strong technical writing, communication and presentation skills and ability to effectively communicate quantitative topics with non-technical audiences
• Effective at prioritization/time and project management
• Broad understanding of financial products
• Ability to extract, analyze, and merge data from disparate systems, and perform deep analysis
• Experience designing, developing, and applying scalable Machine Learning and Artificial Intelligence solutions
• Demonstrated ability to drive action and sustain momentum to achieve results
• Demonstrated leadership skills; Ability to exert broad influence among peers
• Experience with engineering complex, multifaceted processes that span across teams; Able to document process steps, inputs, outputs, requirements, identify gaps and improve workflow
• Sees the broader picture and is able to identify new methods for doing things
• Experience with LaTeX

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Learn more about this role

Full time

JR-20042831

Manages People: No

Travel: No

Manager:

Talent Acquisition Contact:

Referral Bonus: