Sr Quantitative Finance Analyst

Posted 2 Days Ago
Be an Early Applicant
4 Locations
125K-210K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services • Data Privacy
The Role
The role involves conducting quantitative analyses and model development, leading projects, and overseeing model risk management and improvements, while collaborating with various stakeholders.
Summary Generated by Built In

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

Pay Transparency details

US - NY - New York - 1114 Avenue Of The Americas - Grace (NY1544)

Pay and benefits information

Pay range$125,000.00 - $210,000.00 annualized salary, offers to be determined based on experience, education and skill set.

Discretionary incentive eligible

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

Top Skills

Data Science Tools
Latex
Machine Learning
Predictive Modeling
Python
R
SAS
SQL
Statistical Sampling
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The Company
HQ: Charlotte, NC
208,000 Employees
On-site Workplace
Year Founded: 1784

What We Do

We make financial lives better for our clients and our communities through the power of every connection. Our employees are at the heart of this purpose, and are key to driving responsible growth.

Every day, across the globe, our employees bring a commitment to our purpose and to driving responsible growth by living our values: deliver together, act responsibly, realize the power of our people and trust the team. A key aspect of driving responsible growth is doing so in a sustainable manner, a critical pillar of which is being a great place to work for our teammates.

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