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Bloomberg Quant Jobs in Reading, MA (NOW HIRING)

Investment Analyst - Portfolio Construction

Boston, MA · On-site

$106K/yr

  • Medical

  • Retirement

Apply quantitative and analytical techniques to support asset allocation, portfolio construction ... Familiarity with Bloomberg, FactSet, BI tools, databases is a plus. The final salary offer will ...

Apply quantitative and analytical techniques to support asset allocation, portfolio construction ... Familiarity with Bloomberg, FactSet, BI tools, databases is a plus. The final salary offer will ...

Apply quantitative and analytical techniques to support asset allocation, portfolio construction ... Familiarity with Bloomberg, FactSet, BI tools, databases is a plus. The final salary offer will ...

Apply quantitative and analytical techniques to support asset allocation, portfolio construction ... Familiarity with Bloomberg, FactSet, BI tools, databases is a plus. The final salary offer will ...

Showing results 21-40

Bloomberg Quant information

Does Bloomberg hire quants?

Bloomberg hires quantitative analysts, often called quants, for roles in financial modeling, data analysis, and algorithm development. These positions typically require strong skills in mathematics, programming, and finance, and may involve using tools like Python, C++, or MATLAB. Quant roles at Bloomberg are competitive and often require relevant experience or advanced degrees in related fields.

What is a Bloomberg Quant?

A Bloomberg Quant is a quantitative analyst who works at Bloomberg, focusing on developing mathematical models, algorithms, and tools to analyze financial data and support decision-making in trading, risk management, and investment strategies. These professionals use advanced statistical techniques, programming, and data analysis to interpret large datasets and generate actionable insights for Bloomberg's clients and internal teams. They often collaborate with engineers, data scientists, and financial experts to enhance Bloomberg's product offerings and maintain its leadership in financial analytics.

What are the key skills and qualifications needed to thrive as a Bloomberg Quant, and why are they important?

To thrive as a Bloomberg Quant, you need strong quantitative analysis skills, programming expertise (often in Python, C++, or R), and a relevant advanced degree such as a Master's or PhD in mathematics, finance, or a related quantitative field. Familiarity with financial modeling platforms, Bloomberg Terminal, and data analysis tools is typically required, along with knowledge of market data systems. Critical thinking, attention to detail, and effective communication are essential soft skills for translating complex data into actionable financial insights. These competencies are crucial for developing innovative quantitative strategies and delivering high-value analytics in a dynamic financial environment.

What is the difference between Bloomberg Quant vs Bloomberg Data Analyst?

AspectBloomberg QuantBloomberg Data Analyst
Required CredentialsAdvanced degrees in finance, mathematics, or related fields; programming skillsBachelor's degree in finance, economics, or related fields; data analysis skills
Work EnvironmentQuantitative research teams, financial modeling, algorithm developmentData collection, cleaning, reporting, and supporting decision-making
Employer & Industry UsageFinancial institutions, hedge funds, asset managers using quantitative strategiesFinancial firms, investment banks, and corporations analyzing market data

Bloomberg Quants focus on developing complex models and algorithms to inform trading strategies, requiring advanced quantitative skills. In contrast, Bloomberg Data Analysts primarily handle data management and reporting tasks to support business decisions. Both roles are integral in financial services but differ in technical depth and responsibilities.

How does a Bloomberg Quant typically collaborate with other departments such as engineering and sales?

Bloomberg Quants work closely with engineering teams to implement quantitative models and ensure their integration into Bloomberg’s software platforms. They also interact with sales and product management to understand client needs, tailor analytical solutions, and provide technical support. Effective communication and teamwork are essential, as projects often require input from multiple disciplines to deliver robust, client-focused products. This collaborative environment enables Quants to gain a broader business perspective while deepening their technical expertise.

What job categories do people searching Bloomberg Quant jobs in Reading, MA look for?

The top searched job categories for Bloomberg Quant jobs in Reading, MA are:

What cities near Reading, MA are hiring for Bloomberg Quant jobs?

Cities near Reading, MA with the most Bloomberg Quant job openings:

Quantitative Strategist, Mortgage-Backed Securities (MBS)

Wellington Management

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

About Us

Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 60 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long-term view that aligns our perspectives with those of our clients.

About the Role

THE POSITION
Wellington is seeking a quantitative risk-neutral valuation specialist in fixed income, MBS, and structured products modeling to join the Risk and Analytics Research team within Wellington Investment Risk. The team is responsible for investment analytics and risk modeling, partnering closely with investors and risk professionals to embed analytics and models into investment decision workflows, and working with technology teams to deliver scalable, enterprise-level solutions.

The Quantitative Strategist will develop models for fixed income, agency MBS, and structured product instruments; conduct empirical research on security valuation and risk premia; and serve as a subject matter expert on risk-neutral valuation for investors, product management, and the Investment Risk team. The strategist will work closely with Wellington investors to facilitate the use of quantitative models in investment decisions and portfolio construction.
This is a high-impact, high-leverage role with broad responsibilities spanning quantitative research, investment analytics, investor engagement, and production implementation.

Success in this role requires rigorous quantitative research skills, deep knowledge of risk-neutral valuation, mortgage modeling, and derivatives valuation, as well as the ability to partner with technology teams to build scalable production infrastructure for security analytics. The successful candidate will also enjoy collaborating directly with investors and integrating quantitative models into real-world investment processes.

The candidate should be able to work independently and thrive in a team-oriented environment. Strong communication skills are essential, as the role involves leading research initiatives while interacting closely with investment teams, product management, risk professionals, and technology partners.

QUALIFICATIONS
The ideal candidate will combine a strong quantitative background with a deep understanding of finance and economics.
5-15 years of experience in fixed income and mortgage modeling; strong understanding of mortgage market dynamics, including TBAs, pools, and agency CMOs. Experience with structured products is a plus.
Strong understanding of asset pricing theory
Advanced degree in finance, econometrics, or quantitative discipline (e.g., mathematics, statistics, physics, electrical engineering, operations research). Other credentials such as CFA/CAIA may be relevant though not required.
Strong technical background in model development, statistical analysis, and prototyping. Experience with Python, Java, SQL, and/or C++
Experience with Yield Book, Bloomberg OAS models, and the eMBS dataset is a plus

LOCATION
The Quantitative Strategist will be based in Wellington's Global Headquarters in Boston, MA.

JOB TITLE

Quantitative Strategist, Mortgage-Backed Securities (MBS)

JOB FAMILY

Investment Management (IM)

LOCATION

280 Congress

Not sure you meet 100% of our qualifications? That's ok. If you believe that you could excel in this role, we encourage you to apply and welcome a chance to review your background. We are dedicated to building and maintaining a diversified workforce and considering a broad array of candidates with a variety of skill, workplace experiences, and backgrounds.

As an equal opportunity employer, Wellington Management considers all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, gender expression, religion, creed, national origin, age, ancestry, disability (physical or mental), medical condition, citizenship, marital status, pregnancy, veteran or military status, genetic information or any other characteristic protected by applicable law. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at GMWTalentOperations@wellington.com.

At Wellington Management, our approach to compensation is designed to help us attract, inspire and retain the best talent in our industry.We strive to pay employees fairly and competitively across all levels and roles. Our approach to compensation considers all aspects of total compensation; all employees are eligible to receive salary, variable compensation, and benefits. The base salary range for this position is:

USD 120,000 - 225,000

This range takes into account the wide range of factors that are considered when making compensation decisions, including but not limited to skill sets; role; skills and experience; certifications; and education. This range is an estimate, and further details on salary and total compensation aspects will be shared with candidates during the recruitment process.

Base salaryis only one component of Wellington's total compensation approach. Other rewards may include a discretionary Corporate Bonus and/ or Incentives, if eligible. In addition, we offer a comprehensive and high value benefit package to meet the unique needs of our employees and their families, and we are committed to fostering a flexible work environment that enables employees to thrive personally and professionally. Examples of our benefits include retirement plan, health and wellbeing, dental, vision, and pharmacy coverage, health savings account, flexible spending accounts and commuter program, employee assistance program, life and disability insurance, adoption assistance, back-up childcare, tuition/CFA reimbursement and paid time off (leave of absence,paid holidays, volunteer, sick and vacation time).

We believe that in person interactions inspire and energize our community and are essential to our culture. In support of this commitment, our employees work from our offices 4 days a week with flexibility to work remotely 1 day a week. We believe that this approach ultimately supports our mission to deliver investment excellence to our clients and their beneficiaries over the long term.