Quantitative Data Developer Job at Susquehanna International Group (Bala Cynwyd (Philadelphia Area), Pennsylvania)

Quantitative Developer

Client description: Montrose Software has an ongoing relationship with one of th...

Location

Poland , Kraków

Salary:

Not provided

Montrose Software

Expiration Date

Until further notice

Requirements

5+ years of experience in software development, ideally in the quantitative finance area
Good knowledge of C++ and basic knowledge of Python
In-depth knowledge of various (vanilla and exotic) derivative products
Familiarity with mathematical models for the dynamics of the financial market
FpML knowledge is a plus
Numeracy to be able to understand quantitative finance
Commercial experience in financial or capital markets
Ability to use a version control system, ideally Git
Finding yourself in a large codebase
Good communication skills

Job Responsibility

Maintaining and enhancing a Risk management system for a big bank
Working on a core internal instrument for data analyst and economist to make risk calculations

What we offer

Diverse teams
Interesting, challenging and exciting work in international teams
Team events
Flexible working hours
Modern office
Lunches
Food
Health
Sport
Training budget

Fulltime

Software Developer / Data Engineer in Proteomics

The Chair of Proteomics and Bioanalytics at the Technical University of Munich l...

Location

Germany , Freising

Salary:

Not provided

jobRxiv

Expiration Date

Until further notice

Requirements

MSc or PhD in Computer Science, Bioinformatics, Computational Biology, or a related quantitative field
Solid experience in programming and system architecture design (e.g., Python), workflow management tools (e.g., Nextflow) and containerization (e.g., Docker)
Strong knowledge of relational database systems and schema design (e.g., MySQL), and web-development (e.g., Vue.js) including data visualization frameworks (e.g., D3.js)
Excellent collaborative skills
ability to work in multidisciplinary teams

Job Responsibility

Develop and maintain scalable data-processing pipelines for mass spectrometry-based phosphoproteomics and related omics data
Design, build, and document database systems and interfaces for managing, visualizing, and mining complex multi-omics datasets
Integrate quantification, annotation, and pathway information with genomic and transcriptomic data relevant to cancer signaling and drug response
Collaborate closely with proteomics experts, cancer biologists, and clinicians to transform experimental data into biologically and clinically meaningful insights
Implement data quality control, and reproducibility workflows in accordance with regulatory requirements
Contribute to the development of APIs, web tools, and dashboards for internal users and collaborators

What we offer

Join an interdisciplinary team of biochemists, cell biologists, bioinformaticians, and clinicians that uses the latest proteomic approaches to fight cancer
The Technical University of Munich is one of the best academic institutions in the world, and offers a stimulating work environment and excellent future perspectives
The position is initially available for two years but may be extended
The salary follows the TVL scale

Fulltime

Quantitative Developer

Quantitative Developer – Python | Hedge Fund | New York | $400k TC. We are worki...

Location

United States , New York, Manhattan

Salary:

400000.00 USD / Year

Orbis Consultants

Expiration Date

Until further notice

Requirements

5–7 years’ experience as a Quant Developer / Software Engineer (flexible on range)
Expertise in Python with a track record of delivering high-quality, production-ready code
Prior experience in a systematic trading / financial markets environment is required
Solid understanding of relational databases
Strong problem-solving skills, CS fundamentals and ability to work in high-pressure, fast-paced environments

Job Responsibility

Design, develop and optimise trading systems, research platforms and tools supporting systematic investment strategies
Collaborate closely with Quant Researchers and Traders to implement production-grade code and deliver robust, scalable solutions
Work on data integration, performance tuning and ensuring low-latency, high-throughput execution
Leverage strong computer science fundamentals to solve complex engineering challenges across the trading stack

Fulltime

Historical Data Management Quantitative Analyst

The Historical Data Management (HDM) team within Market & Counterparty Risk Anal...

Location

Poland , Warsaw

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Educated to postgraduate level, with an excellent academic record in a quantitative field (e.g. mathematics, physics, computer science, statistics, econometrics, quantitative finance, etc.)
3+ years of relevant working experience, financial risk area is preferred
Programming experience with statistical analysis methods (team uses Python + SQL, knowing other languages, e.g. R, Matlab, VBA, may help but is not essential)
Keen interest in banking and finance, especially in the field of Risk Management
Consistently demonstrates clear and concise written and verbal communication skills
Self-motivated and detail oriented
Demonstrated project management and organizational skills and capability to handle multiple projects at one time

Job Responsibility

Conducting quantitative data analysis, including preparation of statistical and non-statistical data exploration, data validation, and identification of data quality issues
Report major data quality issues and follow up with the recommended actions
Analyzing and interpreting data reports, making recommendations addressing business needs
Work with project management team to ensure timely delivery of the project
Creating formal documentation for developed system, observing system reports and take actions, work with supporting Technology teams to address issues
Optimizing monitoring systems, document optimization solutions, and present results to non-technical audiences
write formal documentation using technical vocabulary
Introducing process automation of data extraction and data pre-processing tasks, performing ad-hoc data analyses to improve the processes, design and maintain complex data manipulation processes, and provide documentation and presentations
Help in training of junior quantitative analysts, sometimes also contributing to organization of their work, which may potentially include managing of junior team members

What we offer

Competitive salary & social benefits (e.g. private healthcare care, Benefit System, life insurance)
Work in a friendly and diversified environment, appreciating differences in style and perspective and using them to add value to decisions leading to organizational success
A great environment for learning new technology and tools, online and instructor led training opportunities
Working in a friendly, dynamic and multinational environment
Opportunity to have an influence on the way you perform your tasks - our teams are constantly looking for new and better ways and we encourage all improvement ideas
A chance to make a difference with various affinity networks and charity initiatives

Fulltime

Internship Data Processing Pipeline Development for LLMs

Become part of our team at Volkswagen Group Innovation, where we bring state-of-...

Location

Germany , Wolfsburg

Salary:

Not provided

Volkswagen AG

Expiration Date

Until further notice

Requirements

Currently enrolled in a university degree program in Computer Science, Data Science, Computational Linguistic or a related field
Strong coding skills in Python
Proficiency in AI concepts and their applications
Strong problem-solving abilities and attention to detail
English language level B2

Job Responsibility

Develop, analyze and evaluate Agents in different use cases with a focus on practical applicability and performance
Explore quantitative and qualitative methods for performance evaluation of agents
Work with AI agent frameworks such as LangChain and LangGraph for the design, orchestration, and optimization of intelligent agent workflows

Fulltime

Qa Retail Credit Risk Model Developer

Join us as a "QA Retail Credit Risk Model developer" in our Quantitative Analyti...

Location

India , Noida

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Minimum Bachelor’s Degree in quantitative discipline
Hands-on experience in statistical model development and basic knowledge of Capital and impairment concepts
A good knowledge of data analysis, theory and statistical techniques (such as linear or nonlinear models, logistic regression, macroeconomic forecast, decision trees, cluster analysis and neural networks etc.)
Proficiency with analytical software R or Python, SQL tools (e.g., Oracle), Unix platforms, and MS Office required
Advanced Python Programming and knowledge of Python/R/C++ coding
Model implementation using DevOps tools like TeamCity, Jira, BitBucket and Nexus etc
Project and stakeholder management
Experience in financial institution data, supporting model development, implementation and productionisation within credit wholesale, consumer, finance or treasury

Job Responsibility

Design analytics and modelling solutions to complex business problems using domain expertise
Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools
Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams
Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them
Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users
Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy
Ensure all development activities are undertaken within the defined control environment

What we offer

Hybrid working
Modern workspaces, collaborative areas, and state-of-the-art meeting rooms
Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations

Fulltime

Senior Python Developer

As a Python Engineer, you'll be a key contributor to building robust and scalabl...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5-8 years of relevant experience
Proven experience designing and implementing Python-based backend services
Expertise in building data pipelines leveraging Big Data technologies, preferably Spark and Python
Experience with Angular, React or other front-end frameworks is a plus
Strong database skills, with experience using SQL and NoSQL technologies (e.g., SQL Server, MongoDB)
Experience collaborating with data scientists and developing pipelines that support statistical algorithms
Demonstrated experience working in a DevOps environment, including CI/CD tools, monitoring tools, and log aggregation tools
Experience with Docker/Kubernetes is mandatory
Ability to automate and streamline the build, test and deployment of data pipelines
Deep experience with software engineering best practices (unit testing, automation, design patterns, peer review, etc.)

Job Responsibility

Develop and maintain Python micro-services, encompassing numerous data pipelines and algorithms designed to identify market abuse
Expand ETL processes to incorporate new data sources seamlessly
Collaborate with quantitative analysts and data scientists to understand and implement requirements for new algorithms, data onboarding, quality checks, and timeliness
Build strong relationships with clients and stakeholders to understand their needs and prioritize work effectively
Thrive in a multidisciplinary team environment, working closely with fellow developers, quants, data scientists, and production support teams

Fulltime

Senior Python Developer

As a Python Engineer, you'll be a key contributor to building robust and scalabl...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5-8 years of relevant experience
proven experience designing and implementing Python-based backend services
expertise in building data pipelines leveraging Big Data technologies, preferably Spark and Python
experience with Angular, React or other front-end frameworks is a plus, as is a general understanding of full-stack development principles
strong database skills, with experience using SQL and NoSQL technologies (e.g., SQL Server, MongoDB)
experience collaborating with data scientists and developing pipelines that support statistical algorithms
demonstrated experience working in a DevOps environment, including CI/CD tools, monitoring tools, and log aggregation tools
experience with Docker/Kubernetes is mandatory
ability to automate and streamline the build, test and deployment of data pipelines
deep experience with software engineering best practices (unit testing, automation, design patterns, peer review, etc.)

Job Responsibility

develop and maintain Python micro-services, encompassing numerous data pipelines and algorithms designed to identify market abuse
expand ETL processes to incorporate new data sources seamlessly
collaborate with quantitative analysts and data scientists to understand and implement requirements for new algorithms, data onboarding, quality checks, and timeliness
build strong relationships with clients and stakeholders to understand their needs and prioritize work effectively
thrive in a multidisciplinary team environment, working closely with fellow developers, quants, data scientists, and production support teams

Fulltime

Quantitative Data Developer

Susquehanna International Group

Location:
United States , Bala Cynwyd (Philadelphia Area), Pennsylvania

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 04, 2026

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Job Description:

Job Responsibility:

Requirements:

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Additional Information:

Job Posted:February 04, 2026

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Job Posted:
February 04, 2026