Market Risk Analyst II

We need to output HTML fragment with sections: About the role? Actually we need to use headings for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must include only sections that have real specific content. We must not repeat job title. Must not include Job ID etc. Must preserve all substantive info, remove boilerplate (EEO, etc). Must not create sections with filler like "commensurate with experience". Must not create Pay/Schedule/Benefits unless posting actually states them. The posting includes: "Anticipated Pay RangeThe anticipated base pay range for this role is $76,500 - $117,000." Also "This role will have a hybrid work schedule in our Boston office in accordance with the Bank’s Hybrid Work Program. More time will be expected in the office to support onboarding initially." Also "We offer opportunities for career development, robust benefits, and a work-life balance." So we have Pay, Schedule, Benefits content. We also have Position Summary and Specific Responsibilities, Qualifications (Education, Experience, Knowledge/Skills). We need to map to headings: About the role (maybe position summary), Responsibilities (specific responsibilities), Requirements (maybe qualifications?), Qualifications (maybe education/experience?), Skills (knowledge/skills), Benefits, Pay, Schedule. We must not duplicate content. We need to decide which sections to include based on content. We have: - About the role: could be the Position Summary paragraph. - Responsibilities: Specific Responsibilities bullet list. - Requirements: maybe the Qualifications section (Education, Experience) but we also have separate Qualifications heading. The instruction says use headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we need to decide mapping. Probably: - About the role: Position Summary. - Responsibilities: Specific Responsibilities. - Requirements: maybe the "Experience" and "Education" combined? But we also have Qualifications heading. Could treat Requirements as "Experience" and "Education"? But Qualifications could be "Knowledge/Skills". However we need to avoid duplication. Better: Use: - About the role: Position Summary. - Responsibilities: Specific Responsibilities. - Requirements: Education and Experience (maybe combined). - Qualifications: maybe not needed if we used Requirements for education/experience. But we could still have Qualifications for "Knowledge/Skills". However we might have too many thin sections. The instruction: Prefer a few substantive sections over many thin ones. So we could combine Education, Experience, Knowledge/Skills into a single "Qualifications" section. And maybe have "Skills" as separate? But they said we can use Skills heading. However we could incorporate skills into Qualifications. We need to include Benefits, Pay, Schedule sections if content exists. Thus sections: - About the role (Position Summary) - Responsibilities (Specific Responsibilities) - Qualifications (Education, Experience, Knowledge/Skills) - Benefits (robust benefits, career development, work-life balance) - Pay (Anticipated base pay range) - Schedule (Hybrid work schedule, Boston office, weekly in-office expectations) We should not include Requirements if we used Qualifications. But we could still include Requirements as a heading if we have content; but we might skip to avoid thin sections. However we need to ensure we preserve all substantive info. If we omit Requirements heading, we still need to include its content somewhere else. We placed education/experience/knowledge/skills in Qualifications. That covers. Thus output HTML with

for each section heading, then content:

for prose,

• for lists. We need to extract specifics. Let's parse the posting. Position Summary paragraph: "The Market Risk Management Team is responsible for the measurement, reporting and analysis of the Bank’s exposures to interest rates and other factors affecting market value and projected earnings. The Risk Analyst II is a key contributor within the Market Risk team, helping the Bank understand, measure, and communicate its exposure to interest rate risk and other market-driven factors that affect market value and projected earnings. This role sits at the intersection of data, modeling, and decision-making, translating complex risk analytics into clear, actionable insights for senior leadership and regulators. The Market Risk Analyst II is responsible for managing and executing key risk analysis processes, utilizing market risk models to generate accurate and defensible assessments for management, the Board of Directors, auditors, regulators, and external rating agencies. The position encompasses hands-on involvement in safeguarding the integrity of the Bank’s risk models, data, and assumptions, while delivering high-quality evaluations of exposures and sensitivities across the balance sheet, portfolios, counterparties, and individual transactions. Combining structured production tasks with analytical problem-solving, the Analyst provides both recurring and ad hoc quantitative and qualitative analyses, offering insightful commentary on market conditions, balance sheet trends, and emerging risks. Additional responsibilities include maintaining risk analysis systems through model back-testing, benchmarking, and production controls, enhancing methodologies and assumptions, producing and validating core risk reports to support governance and management discussions, and upholding robust documentation and control procedures to ensure the availability of timely and accurate risk information. The ideal candidate is a proactive self-starter with a solid financial and quantitative foundation, strong communication skills, and the ability to manage competing priorities in a deadline-driven environment. Experience or demonstrated aptitude in tools such as Python, SQL, data management, or related analytics disciplines is highly valued, as you’ll be encouraged to use these skills to improve efficiency, strengthen controls, and modernize risk analysis and reporting processes." That's the summary. Specific Responsibilities bullet list: - Oversee risk analysis model maintenance and updates, including but not limited to: review and updates of underlying assumptions and transactional attributes, application of existing data management routines, and incorporation of current economic and market trends. - Generates representative assessments of the Bank’s risk exposure in its balance sheet, portfolios, counterparties, or specific transactions through modeling the impact of credit, economic, and/or market assumptions and resultant impacts on the Bank’s risk positions - Prepares analytical reports used in financial reporting including, but not limited to market value sensitivity, earnings at risk and liquidity risk. - Create and/or review others’ baseline and stress case results for the Bank’s forecasts of market risk, earnings risk and liquidity risk. - Prepare and/or review ad hoc and/or formalized modeling analysis of transaction level risk exposure including, but not limited to, hedge effectiveness, proforma structured MBS trades, and liability transactions - Support current modeling methodologies across market risk, as well as in general model setup, performance monitoring, version testing, and model upgrades. - Develop a thorough understanding of market risk production models and processes for the purposes of implementing process enhancements and new analytical techniques - Identifies key variables in balance sheet, portfolio, and transaction exposures and quantifies sensitivity to changes in key assumptions - Provides critical analysis of modeling results for purposes of internal validation and explaining risk positions to management - Provide quantitative and analytical support to senior management as needed - Formulation and implementation of data handling and automation best practices using programing language, AI-enabled solutions or other related data disciplines. - Other duties, as assigned Qualifications: Education: "A four-year degree in finance, accounting, economics, or quantitative discipline required, with preference towards a graduate degree and/or CFA program, and strong quantitative/math skills" Experience: "Prefer experience with institutional level Asset Liability Management software such as PolyPaths or QRM and other vendor models including Intex, ADCo Bloomberg etc. Prefer experience in use of database querying and business intelligence tools such as SQL, PowerBI or AWS QuickSight. Must also be proficient in the use of MS/Excel for financial reporting, analysis, and graphing. 3-5 years prior experience in the Financial Services industry with preferred experience in mortgage modeling, risk modeling, or quantitative modeling." Knowledge/Skills: list: - Ability to review associate efforts for accuracy and reasonability - In-depth knowledge of loans, mortgages, money market instruments, derivatives, debt instruments, security classes including underlying MBS collateral types and deal structures - In-depth knowledge and understanding of capital markets, trends, and developments - Skilled in identifying and focusing on key variables within product analytics - Must have ability to define work initiatives in order to meet internal and external reporting deadlines - Skilled in summarizing results on large portfolios - Ability to provide interpretations of the compiled risk reports - Knowledge of finance and accounting principles - Understanding of macroeconomic trends - Must be able to work independently or with a team - Intermediate skills with Python, SQL, Power BI or related disciples. - Basic familiarity with machine learning, statistics, and probability theory. Benefits: "We offer opportunities for career development, robust benefits, and a work-life balance." Pay: "Anticipated Pay RangeThe anticipated base pay range for this role is $76,500 - $117,000. This role is based in Boston with weekly in-office expectations. The base pay posted represents the annual base pay range or hourly wage range that we expect to offer for this job opportunity. The actual base salary offer will depend on a variety of factors including relevant experience, required skills and other relevant factors. The range noted here is not indicative of all positions in the job grade within which this position falls. All Bank full-time positions are eligible to participate in our annual incentive program and our robust total rewards offerings, in addition to the base pay." Schedule: "This role will have a hybrid work schedule in our Boston office in accordance with the Bank’s Hybrid Work Program. More time will be expected in the office to support onboarding initially." We need to remove boilerplate like EEO etc. Already removed. Now produce HTML. We need to ensure we don't repeat job title. Not include. We'll produce:

  About the role

  ... (position summary)

  Responsibilities

  • ...
  ...

  Qualifications

  Education: ...

  Experience: ...

  Knowledge/Skills: ...

  maybe we can make a list for knowledge/skills. But we need to use
  • for any list of duties/requirements/benefits. For knowledge/skills we can list. Thus:

    Qualifications

    Education: A four-year degree in finance, accounting, economics, or quantitative discipline required, with preference towards a graduate degree and/or CFA program, and strong quantitative/math skills.

    Experience: Prefer experience with institutional level Asset Liability Management software such as PolyPaths or QRM and other vendor models including Intex, ADCo Bloomberg etc. Prefer experience in use of database querying and business intelligence tools such as SQL, PowerBI or AWS QuickSight. Must also be proficient in the use of MS/Excel for financial reporting, analysis, and graphing. 3-5 years prior experience in the Financial Services industry with preferred experience in mortgage modeling, risk modeling, or quantitative modeling.

    Knowledge/Skills:

    • Ability to review associate efforts for accuracy and reasonability
    • In-depth knowledge of loans, mortgages, money market instruments, derivatives, debt instruments, security classes including underlying MBS collateral types and deal structures
    • In-depth knowledge and understanding of capital markets, trends, and developments
    • Skilled in identifying and focusing on key variables within product analytics
    • Must have ability to define work initiatives in order to meet internal and external reporting deadlines
    • Skilled in summarizing results on large portfolios
    • Ability to provide interpretations of the compiled risk reports
    • Knowledge of finance and accounting principles
    • Understanding of macroeconomic trends
    • Must be able to work independently or with a team
    • Intermediate skills with Python, SQL, Power BI or related disciplines.
    • Basic familiarity with machine learning, statistics, and probability theory.
    Then Benefits:

    Benef