Investment Quantitative Developer Jobs

Excellent C++ skills on a Linux platform, preferably with experience in low-latency programming

Knowledge of market-microstructure and experience in market data (L1/2/3), for cash equity or other markets

Experience with Smart Order Routing (SOR) and comprehensive knowledge of liquidity pools

Experience in designing, implementing electronic algorithmic trading system, for purpose such as execution, market making, or high-frequency trading

Strong skills in Python and databases

Experience in post trade analytics is preferred

5+ years of experience working as a quantitative developer in an environment focused around electronic market-making or algorithmic trading;

5+ years of relevant experience in writing either C++, C#, Python, or a combination of said programming languages;

Experience with RDMS and NoSQL database solutions;

Must be comfortable working remotely.

Experience with one or more order entry protocols (FIX, ITCH/OUCH, SBE);

Experience with multi-threading and concurrency;

LOCATION: New York, NY (Option to work remotely within a commutable distance from the worksite)

EMPLOYER: Neuberger Berman Group LLC

HOURS: Full-Time; Mon-Fri (40 hrs/week)

SALARY: $101,525 - $115,000 per year

Neuberger Berman is an equal

Participate with senior investment officers in strategy implementation, trading, and portfolio management.

Knowledge and experience conducting modeling exercises in R, Python, or SQL

Proficiency with financial data management and warehousing

Work well in a collaborative environment, encouraging knowledge sharing and the application of new and different methodologies

Design and build a quantitative research platform for investment analysis and strategy prototyping. Manage and maintain platform data, applications, and models

External manager evaluation, selection, and ongoing monitoring

Develop systems for production trading and portfolio management

Exceptional software design and development skills in Rust, Python, Java or other OOP language

Prior internships or full-time work experience that demonstrate your ability to architect and implement software systems to solve real-world problems

Basic knowledge of machine learning methods or statistical modeling techniques; advanced knowledge is a strong plus

Versatile problem-solving skills, and a drive to succeed

Knowledge of financial markets or the crypto industry is a plus but not required

What ideal qualifications, skills & experience would help someone to be successful?

7+ years of prior professional programming experience (preferred).

Advanced C# and SQL experience.

Medium to advanced knowledge of Python

Working knowledge working with Windows environments and cloud-based technologies (Azure).

Excellent communication skills to be able to interact with a wide range of users ranging from very technical (quants) to non-technical.

Strong Excel skills including experience with macros/VBA.

Receive structured learning on technical and quantitative skills.

Proficiency with Python/R programming languages; working knowledge of PANDAS and Dash is a plus.

Experience with Distributed Computing, Natural Language Processing, Machine Learning, Platform Development, Networking, System Design.

Exceptional quantitative and analytical skills.

Strong written and verbal communications skills.

Experience using Python and other similar programming languages

Working knowledge of cloud-based technologies (Azure a plus)

Experience with Microsoft Power Platform (Power BI/Power Apps/Power Flows a plus)

Excellent verbal and written communication skills with a strong detail-orientation

Demonstrated passion for solving problems with technology and possess strong understanding of fundamentals in software development

Familiarity with relational database languages such as SQL

5+ years of work experience in the investment management industry in a role where quantitative finance and technical skills were required.

Experience with quantitative portfolio construction methods, optimization techniques, tax-sensitive management, portfolio analysis.

Ability to work across the organization in various disciplines to drive consensus/closure; strong collaboration and influence skills; project management mind-set

Partner with the investment architecture team and business partners as a subject matter expert to guide requirements for future platform capabilities.

Look for opportunities to improve investment management efficiency and effectiveness across Portfolio Engineering (e.g., scale, process, client outcomes)

Analyst, Quantitative Investment Management, Strategic Advisers

Commercial experience in Exotic Equities

Experience working in a front office environment.

3+ commercial years in Java or C++

Financial modeling (probability and stochastic calculus, Monte Carlo, numerical methods)

A proponent of agile methods: continuous integration, code review, unit testing, refactoring, and related approaches.

Proficient working on both Linux and Windows platforms.

Programming skills in at least one language from C++ and Java

Financial products knowledge in vanilla and exotic equity products.

Experience with scripted payoffs (ex. BLAN)

Analytical work to research, implement and support pricing and risk models for equities.

Development work on server-side processes as part of a micro-service infrastructure.

The role is part of the firm’s financial engineering team which supports trading desks globally.

Be an experienced Python programmer

Experience in quantitative trading is a plus but is not required

Design, implement and maintain modules that process market data and generate trading signals in collaboration with researchers

Build or improve scripts for automating and optimizing operational tasks

Monitor production processes and debug any encountered problems

A bachelor's degree or higher in computer science, applied mathematics, or another technical field from a top university

Experience in advanced quantitative techniques to solve highly complex data-intensive problems.

Excellent programming skills in Python and C++.

Assist in developing core algorithms and models leading directly to trading decisions

Working with the machine learning lab on developing into trading results.

Work closely with traders to interpret valuations and develop next-generation models and analytics.

Work on the high-level architecture of Python and C++ Models and various strategies.

Partner closely with researchers and traders, offering direction and technology support.

Minimum of 4 years hands-on development experience.

Strong practical skills with Python.

Good database design and architecture skills, preferably with MS SQL Server or PostgreSQL.

Please do not apply if you're looking for a contract or remote work.

Please ensure you meet the required experience section prior to applying.

Regular meetings with the Portfolio Management stakeholders and R&D team members

Work with the Credit Portfolio Manager and Strategist to research and develop best-in-class market analytics

3+ year of Quantitative or Investment experience

Strong Python and SQL development knowledge

Focused one-on-one meetings with your manager

Monitoring of the ETF market for new opportunities

data management and risk management systems.

Excellent C++ and Python skills in writing, deploying, and maintaining C++ and Python in a production environment.

Knowledge in statistics, probability, and linear algebra.

Knowledge of market data feed handlers and execution feeds is highly desirable.

Build and deploy high-performance C++ components used by trading applications.

Develop & maintain the infrastructure that accelerates & enables the systematic investment process.

Exceptional programing skill in a low level language (eg: C++); Strong knowledge of Python

Strong understanding of equity derivative trading and risk management

Strong problem solving skills especially when it comes to open ended problems

Develop reliable tools to automate the daily processes of the Structured trading desks

Integrate tools in the general infrastructure

Provide support to the trading desk

Good communication and project management skills

Proficiency in Python programming, database management (SQL, NoSQL) and experience architecting applications within AWS

Preferred qualifications, capabilities and skills

Lead the management of production processes and daily communication with technology team to ensure production pipeline is functioning as expected

Onboard new data sets and conduct exploratory analysis and manage existing data sets used in research

Automate generation of reports for portfolio managers

Lead or manage junior quantitative developers and mentor/develop skills among junior quant developers

Experience in developing finance related software with an emphasis on (numerical) algorithms (e.g. pricing or calibration)

Good knowledge of C++ with strong working knowledge in STL and 4 + years of experience

Possession of good analytical, mathematical, and problem solving skills, with good quantitative skills being a plus

Basic knowledge of Java and/or C#

Working knowledge of versioning systems (e.g. git) and development environments (e.g. Visual Studio, Eclipse)