SENIOR QUANT RESEARCHER - EQUITIES

Dualitas Capital Management LLC; New York (NY); On-site; USD 175,000 - 300,000; Full time

Job summary

An innovative firm is seeking experienced quant alpha researchers to join a dynamic team. In this role, you will lead cutting-edge research in statistical and fundamental alpha, collaborating with talented colleagues to craft new strategies and explore novel data sources. Your expertise in Python and machine learning will be pivotal in driving the full research lifecycle, from idea generation to implementation. This fast-paced, startup-like environment fosters creativity and offers competitive compensation, including a substantial base salary and potential bonuses. If you're passionate about quantitative finance and ready to make a significant impact, this opportunity is perfect for you.

Benefits

Medical/Dental/Vision Coverage

401k with Profit Sharing

Flexible Working Arrangement

PTO

Work Visa Sponsorship

Green Card Sponsorship

Qualifications

• 3+ years of buy-side experience in statistical arbitrage or quantamental research.
• Strong Python skills with experience in scientific computing and ML packages.

Responsibilities

• Lead research in statistical alpha and portfolio construction.
• Mentor junior teammates and guide research projects from start to finish.

Skills

Statistical Arbitrage Research

Quantamental Research

Python Programming

Machine Learning Techniques

Communication Skills

Leadership Skills

Education

M.S. in Math, Statistics, CS, Physics, or similar

PhD in relevant fields

Tools

SQL

Java

C++

Matlab

Scientific Computing Packages

Job description

Dualitas is seeking experienced quant alpha researcher(s) to be key member(s) of our team. Primary duties for Senior QRs include:

1. Be a hands-on leader and innovator in one (or more) of the research areas: statistical alpha, fundamental alpha, advanced statistical (machine) learning methods, and portfolio construction.
2. Actively participate in the team’s research agenda creation & review. Work proactively with other team members to identify new directions of research, new data sources, and/or new strategies.
3. Responsible for the full research life cycle of each research project, from idea generation, model design, signal testing to pre-production implementation.
4. Mentor junior teammates; provide research and technical training as well as career guidance.

Requirements:

1. Minimum 3 years (preferably 5+ years) of buy-side experience in the fields of statistical arbitrage research and/or quantamental research. Experiences in building alpha models from intraday to daily, weekly, or monthly horizons will all be considered.
2. Prior experiences as quant PM or sub-PM with live track record a strong plus, but not required.
3. Experience in designing and building a large-scale high throughput research and backtest platform will be highly valued.
4. Firm conviction and clear understanding of a disciplined and well-defined research process is essential.
5. Deep knowledge and experiences with various quant data sets and vendors.
6. Strong python programming skills required, with extensive hands-on experience with various scientific computing and machine learning packages.
7. Academic and professional experiences in applying modern ML techniques and tools to quant finance a strong plus.
8. Experience with any of the following languages a plus: SQL, Java, C++ and Matlab.
9. Good communication skills and strong leadership skills, willing and capable of working with teammates with various levels of experiences.
10. M.S. or above in Math, Statistics, CS, Physics, Computer Engineering, Financial Engineering/Computational Finance, or similar fields required, with strong background in mathematics and statistics. PhD in relevant fields and academic research background will be highly valued.

What we offer:

• A true startup environment: small, collegial, fast-paced, and research-oriented; free of bureaucracy or hierarchy.
• Competitive compensation and benefits packages, including PTO, medical/dental/vision coverage, 401k with profit sharing, and flexible working arrangement (location and schedule wise).
• Full alignment between employees’ career goals and the firm’s growth objectives.
• Work visa and green card sponsorship for candidates who require such.
• The annual base salary range for this role is $175,000-$300,000 (USD) if located in New York, which does not include discretionary bonus compensation or our comprehensive benefits package. This role may be eligible for discretionary bonuses, which could constitute a significant portion of total compensation. Successful candidates’ compensation and benefits will be determined in consideration of various factors.

How to apply:

Kindly submit your application through our online application system, or alternatively, send your resume along with any supporting materials, to [e-mail]