Head of Modeling and Analytics for Investment Portfolio, Managing Director
- Employer
- State Street Corporation
- Location
- Boston, USA
- Salary
- Competitive
- Closing date
- Dec 3, 2023
View moreView less
- Job Function
- Risk Management
- Industry Sector
- Finance - General
- Employment Type
- Full Time
- Education
- Bachelors
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Who we are looking for
An experienced, senior level professional with a strong technical and quantitative aptitude to act as Managing Director and Head of Modeling and Analytics for Investment Portfolio based in Boston. This role will report to the Senior Vice President, Head of Central Modeling, Analytics and Operations, within Enterprise Risk Management's Financial Risk Organization.
Why this role is important to us
The team you will be joining plays an important role in the overall success of the organization. Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. To make that happen we need teams like yours to help navigate employees and the organization as a whole. In your role you will strive for cutting-edge solutions, that are straightforward and scalable. You will help us build resilience and execute day to day deliverables at our best. Join us if making your mark in the financial services industry from day one is a challenge you are up for.
What you will be responsible for
As Head of Modeling and Analytics for Investment Portfolio you will:
What we value
These skills will help you succeed in this role:
Education & Preferred Qualifications
Salary Range:
$175.000 - $287.500 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
An experienced, senior level professional with a strong technical and quantitative aptitude to act as Managing Director and Head of Modeling and Analytics for Investment Portfolio based in Boston. This role will report to the Senior Vice President, Head of Central Modeling, Analytics and Operations, within Enterprise Risk Management's Financial Risk Organization.
Why this role is important to us
The team you will be joining plays an important role in the overall success of the organization. Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. To make that happen we need teams like yours to help navigate employees and the organization as a whole. In your role you will strive for cutting-edge solutions, that are straightforward and scalable. You will help us build resilience and execute day to day deliverables at our best. Join us if making your mark in the financial services industry from day one is a challenge you are up for.
What you will be responsible for
As Head of Modeling and Analytics for Investment Portfolio you will:
- Lead a team to develop models and to provide quantitative support to investment portfolio analytical processes including CCAR, CECL/IFRS9, BAU budget projecting and limit monitoring
- Lead stress OCI workstream for CCAR
- Provide analytical support to Chief Investment Officer team for investment framework driven by liability
- Develop models to meet the model use requirements
- Review and verify key model assumptions with model owners
- Review model outputs with properly justified opinions and judgments by experts from portfolio managers in Investment Team to capture forward-looking financial market and macro-economic outlooks
- Implement internally developed models on risk analytical library platform
- Streamline the existing modeling and analytical process; increasing the pace of execution to meet the needs of the business
- Work in close partnership with the three lines of defense functions, such as model governance, audit and Financial Regulatory Assurance to ensure appropriate governance and control infrastructure for credit risk analytics
- Prepare and present required reports/reviews to model risk management, management and regulators
What we value
These skills will help you succeed in this role:
- Strong analytical and quantitative mindset; ability to take ownership and improve on existing risk models and methodologies
- Energetic/motivator: an enthusiastic individual with proven leadership skills and an ability to motivate a diverse, multi-level workforce and instill a sense of urgency on a range of evolving goals and objectives
- Organizational strengths: an ability to organize resources, processes and priorities to ensure business needs are met in a coordinated, responsive and timely manner, with minimal direction
- Confidence: a self-assured, experienced and knowledgeable individual able to quickly garner support for his/her views based on informed, well-presented direction or analysis, with a willingness to negotiate, and concede, when needed
- Communicator: clear, confident, self-assured communication style, coupled with an ability to react and adapt to various audiences and environments without diluting effectiveness
- Talent manager: an ability to quickly assess strengths and weaknesses of team members at all levels, and ability to identify developing talent and nurture accordingly, and an ability to deliver clear, honest
Education & Preferred Qualifications
- Master or PhD in a quantitative field. Such as Economics, Statistics, Mathematics, Finance or equivalent; PhD is preferred
- 15+ years of experience investment analytics including model development experiences in a regulatory financial institution
- Demonstrated proficient understanding of industrial best practices of investment analytics. Buy side experiences are preferred
- Demonstrated modeling and analytical process engineering capabilities
- Demonstrated experience working with Global Regulators in the banking or financial services sectors; proficient understanding of various regulations such as stress testing and CCAR
- Proven interpersonal and communication skills at both the executive and regulator level
Salary Range:
$175.000 - $287.500 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
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