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3 дня назад

Quantitative Researcher - ETFs and Passive Flows

165 000 - 325 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Quantitative Researcher - ETFs and Passive Flows (Quantitative Research/ETFs): Developing systematic signals and alpha models that exploit inefficiencies in ETF and index trading with an accent on financial data analysis, market microstructure, and strategy implementation. Focus on generating alpha, constructing portfolios, testing hypotheses, and partnering across modeling, portfolio management, platform, and trading teams.

Location: New York, United States; hybrid work with flexible in-office days

Base pay: $165,000–$325,000 per year, plus potential discretionary bonus and benefits

Company

hirify.global is a quantitative investment management and trading firm applying technology, artificial intelligence, data science, and quantitative research to investing.

What you will do

  • Generate new alpha through quantitative signals reflecting inefficiencies in global capital markets related to ETF trading.
  • Develop systematic signals and alpha models for ETF and index trading strategies.
  • Gather, maintain, and analyze economic and financial data supporting global ETFs and indices.
  • Conduct end-to-end research from data gathering and hypothesis testing through model implementation.
  • Partner with experts across modeling, portfolio management, platform, and trading to implement new strategies.
  • Build relationships across teams and manage and mentor junior researchers.

Requirements

  • Excellent quantitative skills supported by formal training in statistics, applied mathematics, operations research, economics, computer science, physics, or a related quantitative field, plus extensive applied research experience.
  • 2+ years of work experience in an investment research function at a financial firm.
  • Strong understanding of financial markets, including return drivers, risk control, and portfolio construction techniques.
  • Strong understanding of computer technology used in financial and economic research, including statistical programming with Python and Java.
  • Data management and retrieval skills, preferably with SQL or Spark, and Linux literacy.
  • Strong understanding of investment management industry data and experience managing and accessing it for research.
  • Effective written and verbal communication skills.
  • Ability to work efficiently, multitask, and complete end-to-end research projects in a fast-paced, team-oriented environment.

Nice to have

  • PhD.
  • Expertise with large panel datasets of market microstructure data, including intraday quote and trade execution data.
  • Experience with portfolio construction and implementation research.

Culture & Benefits

  • Fully paid medical and dental insurance for employees and dependents, competitive 401(k) matching, and employer-paid life and disability insurance.
  • Hybrid work policy with flexible in-office days and a home-office setup budget.
  • Onsite gyms with laundry service, wellness activities, casual dress, snacks, and game rooms.
  • Tuition reimbursement, conference sponsorship, and training sponsorship.
  • Generous vacation, unlimited sick days, and paid caregiver leave.

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