Quantitative Risk Management Consultant

DTI (Diversified Technology Inc.)

New York (NY)

Sur place

USD 82 656 - 85 411

Plein temps

14 jours+

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Résumé du poste

A leading financial technology consultancy is seeking a Quantitative Risk Management Consultant for a 12+ month contract in New York. The role involves assisting the Clearing Department with quantitative risk activities, including testing models and conducting research. Candidates should possess a Master's degree in a quantitative field and experience with programming languages such as C++, Python, and SQL. Strong analytical and documentation skills are essential for success in this position.

Qualifications

  • Masters degree required in a quantitative field.
  • Strong understanding of advanced risk modeling preferred.
  • Excellent communication and documentation abilities.

Responsabilités

  • Conduct code release testing and historical data validation.
  • Perform margin, stress testing, and portfolio back-testing.
  • Analyze problems and formulate solutions independently.

Connaissances

Strong quantitative and analytical background
Excellent programming skills
Communication skills
Documentation skills
Knowledge of financial markets
Knowledge in advanced quantitative risk modeling
Experience with programming languages (C++, R, VBA, etc.)

Formation

Masters or higher in Computer Science, Financial Engineering, or related fields

Outils

C++
C#
R
VBA
Python
SQL

Description du poste

DTI (Diversified Technology Inc.) Provided Pay Range

This range is provided by DTI (Diversified Technology Inc.). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base Pay Range

$60.00/hr - $62.00/hr

DTI has an immediate need for a Quantitative Risk Management Consultant for a 12+ Months contract.

Must work on our W2

Location: New York

Duration: 12+ Months contract

The candidate will assist the Clearing Department on day-to-day activities in support of quant risk team. The Quantitative Risk Team in the Risk Management Department is responsible for developing, analyzing, and back-testing models for clearing initiatives.

Daily Responsibilities

Daily responsibilities include code release testing, historical data validation, margin and stress testing model validation, and portfolio back-testing. The candidate must have the ability to efficiently, effectively, and independently conduct research, analyze problems, formulate and implement solutions, and produce high quality results on time.

Required Skills
  • Masters (and above) in Computer Science, Financial Engineering, Financial Mathematics, Mathematics, Physics, or a related discipline.
  • Strong quantitative and analytical background.
  • Excellent programming, communication, and documentation skills.
  • Knowledge of financial markets.
  • Knowledge in advanced quantitative risk modeling and knowledge of statistical models in risk management preferred.
  • Knowledge in advanced derivatives modeling and knowledge of volatility models preferred.
  • Experience with programming languages such as C++/C#, R, VBA, Python, and SQL is also required.
  • Preference will be given to candidates who can demonstrate the best practices in developing risk models like Historical VaR, Monte Carlo VaR, Multi-Factor Risk Models, Stressed VaR, Liquidity Risk models, etc.
Benefits

Please click on the link below for our company benefits.

https://docs.google.com/document/d/1q2mHf0U1akaC1ZKC65-VyyG3FrKBGNCahx3WpS2mj7M/edit?usp=sharing

Equal Opportunity Employer Statement

DTI is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, gender identity, sexual orientation, national origin, ancestry, age, disability, marital status, veteran status, or any other protected characteristic under Illinois state or federal law. All qualified applicants are encouraged to apply, and employment decisions are based solely on merit, qualifications, and business needs.

Seniority Level

Mid-Senior level

Employment Type

Contract

Job Function

Other

Industries

Banking, Investment Banking, and Financial Services

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