Bloomberg

Quant Analyst - Market Risk

Bloomberg$155K — $285K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D. or equivalent in Mathematics, Statistics, Physics, Engineering, or Quantitative Finance
  • 4+ years work experience at VP level in a Market Risk modeling team
  • Hands-on experience in Market Risk modeling and asset classes
  • Knowledge of probability theory and statistical methods
  • Experience with Natural Language Processing modeling techniques
  • Proficient in C++ and Python programming and software engineering
  • Experience in project management and stakeholder communication

Responsibilities

  • Research, design, and implement Market Risk models
  • Integrate and release quant code into production systems
  • Communicate modeling concepts to clients and internal teams
  • Assist with project management and coordination of team
  • Maintain thought leadership in Market Risk methodology
  • Publish research papers in academic and industry journals

Benefits

  • Comprehensive benefits plan including medical, dental, and vision
  • Paid holidays and time off
  • Short and long-term disability benefits
  • 401(k) plan with company match
  • Life insurance and wellness programs
  • Merit increases and incentive compensation opportunities
Full Job Description
Description & Requirements

Within the Quantitative Analytics team, the Quantitative Market and Liquidity Risk Analytics group ("QMLRA") is responsible for all market and liquidity risk related modeling. This includes, but is not limited to, stress testing, including modelling of various stress scenarios for cash and derivatives portfolios, VaR, stressed VaR and various tail-risk measures, regulatory capital calculations, CCAR scenarios, FRTB, SIMM, and liquidity Assessment. The group is responsible for model research and development, as well as model deployment into production in collaboration with our Model Validation, Engineering, and Product Manager partners.

The QMLRA group has an open position in New York for an experienced Market Risk quantitative analyst to support our growing client business. The candidate will be responsible for researching, and prototyping models, documenting models, planning project execution, and coordination of team members.

We will trust you to:

  • Research, design, prototype, implement, test, document and support statistical, machine-learning, and econometric Market Risk models
  • Support the integration and release of quant code into production systems in association with our Model Validation and Engineering partners
  • Communicate modeling concepts and assumptions to external clients, product managers, sales, the risk product support unit, and engineering teams. This includes writing technical documentation and delivering presentations to a variety of audiences
  • Assist the QMLRA Team Leader with Market Risk project management. This includes coordination of fellow team members as well as collaboration with Engineering, Product Managers, and Model Validation partners
  • Maintain Market Risk methodology thought leadership. The Quant Analytics team sometimes publishes research papers in academic and industry journals


You will need to have:

  • Ph.D. or equivalent experience in a quantitative field such as Mathematics, Statistics, Physics, Engineering, or Quantitative Finance
  • Work experience at VP level or above (4+ years) at a Market Risk modeling team of a buy-side or sell-side institution, or at the equivalent level at a vendor
  • Hands-on experience in Market Risk modeling, understanding of risk measures, familiarity with financial products and derivatives (expertise needed in at least two asset classes), along with fluency in the relevant regulatory and non-regulatory Market Risk calculations
  • Knowledge of probability theory and stochastic processes, probabilistic and machine learning techniques, statistical estimation and testing, Monte Carlo methods, numerical analysis, and linear algebra
  • Experience with Natural Language Processing modeling techniques, e.g. Sentiment Analysis, Topic Modeling, Text Classification, Semantic Analysis, and Named Entity Recognition. Proficiency with agentic modeling is a bonus
  • Proven C++ and Python programming and software engineering skills. This includes code design, implementation, testing and production release, as well as working knowledge of common data science libraries
  • Hands-on experience in project management, execution and delivery, and communications with internal and external stakeholders and clients


We would love to see:

  • Strong oral and written communication skills. You enjoy working in teams with other quants, engineers, and product managers
  • Passion about the Capital Markets, Finance, and Economics
  • High-level of intellectual curiosity and demonstrated capability to generate new and interesting approaches to solving complex problems


Salary Range = 155,000 - 285,000 USD Annual + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.

About Bloomberg

Bloomberg L.P. is a privately held financial, software, data, and media company headquartered in Midtown Manhattan, New York City. It was founded by Michael Bloomberg in 1981, with the help of Thomas Secunda, Duncan MacMillan, Charles Zegar, and a 12% ownership investment by Merrill Lynch. Bloomberg L.P. provides financial software tools and enterprise applications such as analytics and equity trading platform, data services, and news to financial companies and organizations through the Bloomberg Terminal (via its Bloomberg Professional Service), its core revenue-generating product. Bloomberg L.P. also includes a wire service (Bloomberg News), a global television network (Bloomberg Television), digital websites, a radio station (WBBR), subscription-only newsletters, and three magazines: Bloomberg Businessweek, Bloomberg Markets, and Bloomberg Pursuits.
Learn more about Bloomberg
Size
20,000 employees
Industry
Founded
1981

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