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Sr Quantitative Finance Analyst

Bank of America

New York (NY)

On-site

USD 125,000 - 210,000

Full time

13 days ago

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Job summary

An established industry player is seeking a Sr Quantitative Finance Analyst who will be pivotal in conducting quantitative analytics and complex modeling projects. This role involves leading the development of innovative models, performing market risk stress testing, and providing analytical guidance. As part of a diverse and inclusive workplace, you will have opportunities to grow and make a significant impact. If you are passionate about finance and analytics, this is the perfect chance to advance your career in a supportive environment that values your contributions.

Qualifications

  • Master's degree or equivalent experience required.
  • 5+ years in model development, statistical work, data analytics.

Responsibilities

  • Conduct quantitative analytics and complex modeling projects.
  • Perform end-to-end market risk stress testing and analysis.
  • Lead development of new models and analytic processes.

Skills

Critical Thinking
Quantitative Development
Risk Analytics
Risk Modeling
Technical Documentation
Adaptability
Collaboration
Problem Solving
Risk Management
Test Engineering
Data Modeling
Data and Trend Analysis
Process Performance Measurement
Research
Written Communications

Education

Master’s degree in related field

Tools

R
Python
SAS
SQL

Job description

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This range is provided by Bank of America. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$125,000.00/yr - $210,000.00/yr

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being a diverse and inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:

This job is responsible for conducting quantitative analytics and complex modeling projects for specific business units or risk types. Key responsibilities include leading the development of new models, analytic processes, or system approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations may include the ability to influence strategic direction, as well as develop tactical plans.

Responsibilities:

  • Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers
  • Leads the planning related to setting quantitative work priorities in line with the bank’s overall strategy and prioritization
  • Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validation
  • Maintains and provides oversight of model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
  • Leads and provides methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk
  • Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes
  • Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches

Skills:

  • Critical Thinking
  • Quantitative Development
  • Risk Analytics
  • Risk Modeling
  • Technical Documentation
  • Adaptability
  • Collaboration
  • Problem Solving
  • Risk Management
  • Test Engineering
  • Data Modeling
  • Data and Trend Analysis
  • Process Performance Measurement
  • Research
  • Written Communications

Minimum Education Requirement: Master’s degree in related field or equivalent work experience

Required Skills:

  • Critical Thinking
  • Quantitative Development
  • Risk Analytics
  • Risk Modeling
  • Technical Documentation
  • Adaptability
  • Collaboration
  • Problem Solving
  • Risk Management
  • Test Engineering
  • Data Modeling
  • Data and Trend Analysis
  • Process Performance Measurement
  • Research
  • Written Communications

Required Minimum Qualifications:

  • 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:

  • 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
  • Certified Anti-Money Laundering Specialist (CAMS) certification

Education:

  • Graduate degree in quantitative discipline (e.g. Mathematics, Economics, Engineering, Finance, Physics)
  • 5+ years of experience in model development, statistical work, data analytics or quantitative research

Shift:

1st shift (United States of America)

Hours Per Week:

40

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Finance and Sales
  • Industries
    Banking

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