pythonstatisticsmathematical modelingmachine learningeconometricsquantitative financeforeign exchangetime series forecasting
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше рынка
$250к-300к/год
$160к$190кмедиана$240к
По похожим ролям (49) ~ $190к/год
На СНГ рынке: $4.2к/мес ($3.6к - $5к)
91
Крутая вакансия
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Company hidden предлагает зарплату выше рыночного уровня, гарантированную переменную часть в первый год и понятную специализацию в количественной торговле. Это сильная возможность, хотя технический отбор будет требовательным.
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Высокая планкаВыше рынкаПонятные задачиИзвестная компания
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Trader, Macro (Quantitative Finance): Identifying market risk factors and trading opportunities across foreign exchange, developing, and emerging markets with an accent on quantitative finance, statistical forecasting, and data-driven analysis. Focus on building mathematical models, linking market fundamentals to price movements, detecting systematic mispricing, and developing visualization tools in Python, Stata, and Matlab.
Location: New York, United States
Annual base salary: $250,000–$300,000, plus variable year-end compensation.
Company
hirify.global is an investment firm with a Macro team focused on foreign exchange, developing markets, and emerging markets.
What you will do
Use quantitative financial methods to identify market risk factors and recommend trading opportunities.
Build mathematical models and improve analytical tools.
Analyze market fundamentals and develop quantitative forecasts using statistical and time-series techniques.
Connect market fundamentals to price movements using linear algebra and statistics.
Analyze large datasets to identify trading patterns and generate insights into market fundamentals.
Develop data-visualization tools and integrate analysis into market views, risk assessments, and trading recommendations.
Requirements
Master’s degree in applied mathematics, finance, economics, or a related field.
Academic research or coursework in mathematical modeling, time-series forecasting, econometrics, linear algebra, signal processing, and statistics.
Experience with data cleaning, visualization, regression analysis, and statistical or machine-learning algorithms.
Knowledge of GMM, principal components analysis, data-driven tuning-parameter selection, and AI techniques applied to existing analyses.
Computational simulation and modeling experience with Python, Stata, and Matlab.
Successful completion of a technical screening after initial review.
Culture & Benefits
Collegial working environment with collaboration across an innovative Macro team.
Growth opportunities within the organization.
Year-end variable compensation guaranteed during the first year of employment.
Medical and prescription drug coverage, 401(k) contribution matching, wellness reimbursement, family-building benefits, and charitable gift matching.
Hiring process
Submit a resume and cover letter by email and reference job code 2026-6057 CWA.
Applicants who pass initial screening complete a technical screening.
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