QUANT DEVELOPER - EQUITIES TECHNOLOGY

Dualitas Capital Management LLC; New York (NY); On-site; USD 75,000 - 250,000; Full time

Benefits offered by this job

Competitive compensation and benefits packages

401k with profit sharing

Flexible working arrangement

Job summary

A financial services firm located in New York is seeking a Software Engineer with strong experience in Java, C++, and Python. This role involves developing solutions for data management, quantitative research, and trading systems. Candidates should possess a Bachelor's degree in a quantitative field and have 0-5 years of relevant experience. The firm offers a competitive compensation package, including benefits and flexible working arrangements.

Qualifications

• Strong hands-on experience with Java, C++ and Python in Quantitative Development.
• Strong fundamental Computer Science knowledge including design patterns and algorithms.
• 0-5 years of professional experience in a front-office, financial services environment.

Responsibilities

• Develop software engineering solutions for data management and electronic trading.
• Participate in maintaining the firm’s systematic trading infrastructure.
• Build and maintain robust data pipelines and databases for large data.

Skills

Java

C++

Python

Statistical analysis

SQL

NoSQL

Education

Bachelor's degree in a quantitative discipline

Tools

Jupyter

Pandas

NumPy

sklearn

Job description

Responsibilities

• Develop software engineering solutions for data management, quantitative research, portfolio construction, electronic trading, risk management, and reporting.
• Participate in the designing, implementation, testing, and maintaining of the firm’s systematic trading infrastructure (FIX, EMS ,OMS, custom algorithms, TCA); Work with PMs and traders to optimize the firm’s overall execution system performance.
• Build and maintain robust data pipelines and databases that ingest, clean, transform and validate large amounts of data; Collaborate with QRs and PMs to design and build high-performance data APIs for production and research usage.
• Design, build and maintain internal and external reporting applications and tools.
• Participate in production support for trading systems, databases and other firm applications.

Qualifications

• Strong hands-on experience with Java, C++ and Python Quantitative Development.
• Strong fundamental Computer Science knowledge, including design patterns, concurrency, threading, algorithms, memory management and data structures.
• Past professional experiences in modern OMS/EMS development and FIX handling a strong plus.
• Past professional experiences in historical/live/high-frequency market data (level 1 and level 2) processing a strong plus.
• Experience working with various financial datasets such as market data, fundamental data, alternative data, risk models.
• Expertise in handling large datasets, performing statistical analysis, and using SQL or NoSQL databases to retrieve and process financial data.
• Proficient in modern data science tools stacks (e.g., Jupyter, pandas, numpy, sklearn) with machine learning experience a strong plus.
• 0-5 years of professional experience in a front-office, financial services environment.
• Bachelor’s or above degree in a quantitative discipline (computer science, engineering, math, stats, or related fields).
• Enjoy working with technologies and data; detail oriented and self-motivated; work well within a small team and independently.

Benefits

• A true startup environment: small, collegial, fast-paced, and research-oriented; free ofbureaucracy 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 $75,000-$250,000 (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]