Junior 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

Comprehensive and competitive benefit offerings, including medical, dental, vision, retirement, paid time off, tuition reimbursement, and company paid life insurance

Chance to support the analysis of future capabilities and concepts

Experience creating analytical models and simulations using Python

Knowledge of modeling and analysis using mathematical/quantitative methods

Strong quantitative and analytic abilities

Excellent written and oral communication skills

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.

Assist PM Quant Team on collaborating with projects involving inter/ intradepartmental Teams (e.g. Finance, Business Development, Asset Management)

Professional with 3 – 4 years of experience, energy experience is a plus.

Experience with computer programming, data analysis, and optimization

Running basic Analytics on different granularities (e.g. Hourly, Monthly) of Power Generation and Prices

Assist with completing basic monthly and quarterly reporting involving revenue, price and generation performance

Assist with conducting multiple analyses related to existing/operating and upcoming Battery Energy Storage Systems (BESS) across different markets

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

Degree in a Finance or related field such as Economics or Business Management, or equivalent demonstrated professional experience

Technical skills such as Python and Tableau, and experience working with Aladdin would be valuable.

Manage portfolios comprised of physical and synthetic fixed income, equity, FX, funds, private markets and commodity exposures

Ensure all mandates conform to performance expectations, investment guidelines, risk parameters, and regulatory requirements

Experience in managing and rebalancing portfolios and hedging preferred

Perform tasks including implementing multiple investment strategies, handling client flows, rebalancing, and risk/ performance decomposition

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.

Data-Driven Insights: Translate complex data analysis into actionable insights and recommendations for various stakeholders, including product managers and marketing teams

Fluency in SQL and knowledge of Python scientific libraries (i.e., NumPy, SciPy, Matplotlib, and Pandas)

Effective communication skills to present findings, influence stakeholders, and collaborate across teams

Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely

Bachelor's degree in a quantitative field (advanced degree is a plus)

Must be able to work in a fast-paced environment and think clearly under pressure

Data-Driven Insights: Translate complex data analysis into actionable insights and recommendations for various stakeholders, including product managers and marketing teams

Fluency in SQL and knowledge of Python scientific libraries (i.e., NumPy, SciPy, Matplotlib, and Pandas)

Effective communication skills to present findings, influence stakeholders, and collaborate across teams

Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely

Bachelor's degree in a quantitative field (advanced degree is a plus)

Must be able to work in a fast-paced environment and think clearly under pressure

Data-Driven Insights: Translate complex data analysis into actionable insights and recommendations for various stakeholders, including product managers and marketing teams

Fluency in SQL and knowledge of Python scientific libraries (i.e., NumPy, SciPy, Matplotlib, and Pandas)

Effective communication skills to present findings, influence stakeholders, and collaborate across teams

Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely

Bachelor's degree in a quantitative field (advanced degree is a plus)

Must be able to work in a fast-paced environment and think clearly under pressure

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.