quantitative developer

MIRA Construction

<div>We are on the lookout for a sharp, early-career C++ Developer / Junior Quant Dev&mdash;ideally with a background in competitive programming&mdash;to join our collaborative and highly analytical engineering team.
Our culture is built around thoughtful, detail-oriented, and composed professionals who love optimizing complex workflows. Because the systems you build will directly drive our core business outcomes, we need someone who couples technical talent with strong accountability and great communication skills. If you thrive in fast-paced environments with rapid feedback loops and highly visible results, you will feel right at home here.
What You&rsquo;ll Do<ul><li>
Optimize Execution: Implement high-performance trading algorithms, masterfully balancing raw execution speed with long-term code maintainability.</li><li>
Collaborate Internationally: Partner closely with our Quantitative Research team to translate mathematical models into production-ready technical solutions.</li><li>
Write Advanced Code: Architect robust, asynchronous, multi-threaded, and network-centric systems utilizing advanced C++ templates.</li></ul> 

Requirements 
<ul><li>
Algorithmic Excellence: A rock-solid foundation in data structures and core computer science principles (a proven track record in competitive programming is highly preferred).</li><li>
Core Language Skills: Practical engineering experience using C or C++.</li><li>
System Familiarity: A strong conceptual understanding of Linux OS internals and networking.</li><li>
Global Communication: Fluency in professional English (written and spoken) to seamlessly integrate into our international workspace.</li><li>
Hands-on exposure to sub-microsecond, ultra-low latency real-time engineering.</li><li>
Experience with lock-free concurrency paradigms and data containers.</li><li>
Familiarity with GPU programming via CUDA.</li></ul> 

Benefits 
<ul><li>
High-Impact Challenges: Engage with complex technical puzzles featuring instantaneous feedback loops.</li><li>
An Elite Global Team: Work alongside a welcoming, brilliant community of international professionals.</li><li>
State-of-the-Art Infrastructure: Gain access to cutting-edge hardware and the latest tech stacks.</li><li>
Ultimate Flexibility: Work 100% remotely from anywhere on the planet, with open-door access to any of our physical global offices whenever you choose.</li><li>
Unbeatable Work-Life Balance: Enjoy flexible working hours and a generous 40 days of paid annual leave.</li><li>
Premium Compensation: A highly competitive salary package tailored to your skills and market standards.</li></ul></div>

Junior Quantitative Developer (Algorithmic Engineering)

Bank of America

<div>Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. 
 
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates&rsquo; physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. 
 
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. 
 
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! 
We are looking for a highly skilled and innovative Quant Developer / Strategist to join the Quantitative Strategies &amp; Data Group within Global Markets. The team develops Python-based solutions on the Bank&rsquo;s strategic platform, Quartz, delivering strategic and regulatory programmes, including FRTB IMA, VaR, Strategic Risk and PnL, etc.. The role offers exposure across all asset classes (Rates / Commodity / Credit / FX / Equity) and involves close collaboration with Front Office Technology, Risk, and Quant teams. This is a hands-on role combining quantitative modelling, data analysis and engineering.
Key Responsibilities:<ul><li>
Develop and enhance market models (e.g. VaR) to ensure accurate measurement of risk exposures across trading books, in line with regulatory and internal governance requirements</li><li>
Support the implementation of robust risk data testing frameworks to assess the appropriateness, completeness and reasonableness of risk scenarios, VaR, expected shortfall and stress test calculations. This includes testing scenario design, implementation, results consolidation, and analyses of calculations to understand key drivers</li><li>
Investigate data issues and model anomalies, expanding and debugging the existing risk and PnL calculation code, and improving performance and maintainability</li><li>
Partner with Tech, Quants and Risk partners to ensure that the solutions are scalable and aligned with the programmes&rsquo; needs</li><li>
Drive continuous improvement through critical review of model development and validation outcomes, and constructive challenge and feedback on technical documentation</li></ul>
Required Qualifications and Skills:<ul><li>
Masters/PhD level in a quantitative subject (Mathematics, Statistics, Physics, Engineering, Computer Science or other analytical background)</li><li>
Proficient in Python, SQL, C++ and other</li><li>
Excellent analytical and problem-solving skills</li><li>
Strong communication skills</li><li>
Risk knowledge is desirable but not strictly necessary, provided there is a willingness to learn</li><li>
We welcome applications from junior candidates with at least 2 years of financial markets experience, as well as from more experienced professionals</li></ul></div>

Quant Developer â€“ Quantitative Strategies & Data Group

Wise Australia Investments

<div><div><div>Wise is a global technology company, building the best way to move and manage the world&rsquo;s money. 
Min fees. Max ease. Full speed.
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
As part of our team, you will be helping us create an entirely new network for the world's money. 
For everyone, everywhere.
. 
Job Description 
We are seeking a talented quantitative developer to join our Treasury Markets Data Science team. This role focuses on owning and operating the production infrastructure behind our FX pricing, risk, and trading systems with the opportunity to broaden the scope of work into traditional quant aspects.
Your work will have a direct impact on Wise&rsquo;s mission and millions of our customers. 
About the Role:
You'll join the Treasury Markets Data Science team, owning the quantitative infrastructure that powers how Wise manages FX risk across a USD 250bn+ in annual FX volume- serving everyone from retail customers sending money abroad to tier-1 banks via Wise Platform.
The wider Treasury FX team includes quants, traders, analysts, product managers and engineers working together to price, hedge, manage and scale FX operations within Wise in real time. Within that, the Data Science team owns the quantitative platform:
We run a Python-first, production-grade quant platform: real-time curve construction, multi-instrument pricing, risk analytics, and trading strategy - all built and operated by the same team. Your primary focus is keeping these systems reliable, performant and well-engineered - while thinking deeply about how they serve customers and products. You'll also contribute to the quantitative models themselves as you grow into the domain.
What you&rsquo;ll own<ul><li>
Python microservices that run quantitative models in production</li><li>
Monitoring, alerting, and reliability for real-time pricing and risk systems</li><li>
Shared quant libraries used across multiple services</li><li>
CI/CD pipelines, deployment and operational excellence</li><li>
Incident response and root cause analysis for production issues</li></ul>
Where you&rsquo;ll grow<ul><li>
Real-time curve construction (yield curves, FX forwards, vol surfaces)</li><li>
Pricing models for new instruments and products</li><li>
Trading strategy development and optimisation</li><li>
Risk modelling alongside the Risk team (VaR, stress testing, scenario analysis)</li><li>
Backtesting frameworks and model validation</li><li>
Customer behaviour modelling, pricing strategy and product launch support</li><li>
Collaborating with product teams to translate quantitative insights into customer-facing decisions</li></ul> 
Qualifications 
What we&rsquo;re looking for<ul><li>
4+ years building and maintaining production Python systems</li><li>
Strong experience with microservices, databases, and production infrastructure</li><li>
Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.)</li><li>
Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness</li><li>
Experience with testing, monitoring, and debugging complex systems under load</li><li>
A product mindset - you think about who uses your systems and why</li><li>
Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers and engineers</li></ul>
It&rsquo;s a bonus if you are familiar with<ul><li>
FX or financial markets experience</li><li>
Term structure modelling, stochastic calculus or Monte Carlo methods</li><li>
Interest rate curve bootstrapping</li><li>
Algorithmic execution experience</li><li>
Data lake or warehouse experience (Snowflake, Iceberg, Spark etc.)</li></ul>
We&rsquo;re people without borders &mdash; without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you&rsquo;re passionate about learning new things and keen to join our mission, you&rsquo;ll fit right in.
Also, qualifications aren&rsquo;t that important to us. If you&rsquo;ve got great experience, and you&rsquo;re great at articulating your thinking, we&rsquo;d like to hear from you.
And because we believe that diverse teams build better products, we&rsquo;d especially love to hear from you if you&rsquo;re from an under-represented demographic 
Additional Information<div></div> 
For everyone, everywhere. We're people building money without borders &mdash; without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences. 
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on </div></div><div><div><div><div>Instagram</div></div></div></div></div><div></div>

Lead Data Scientist (Quant) - Treasury FX

Wise

<div>Company Description 
Wise is a global technology company, building the best way to move and manage the world&rsquo;s money. 
Min fees. Max ease. Full speed.
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
As part of our team, you will be helping us create an entirely new network for the world's money. 
For everyone, everywhere.
More about our mission and what we offer. 
Job Description 
We are seeking a talented quantitative developer to join our Treasury Markets Data Science team. This role focuses on owning and operating the production infrastructure behind our FX pricing, risk, and trading systems with the opportunity to broaden the scope of work into traditional quant aspects.
Your work will have a direct impact on Wise&rsquo;s mission and millions of our customers. 
About the Role:
You'll join the Treasury Markets Data Science team, owning the quantitative infrastructure that powers how Wise manages FX risk across a USD 250bn+ in annual FX volume- serving everyone from retail customers sending money abroad to tier-1 banks via Wise Platform.
The wider Treasury FX team includes quants, traders, analysts, product managers and engineers working together to price, hedge, manage and scale FX operations within Wise in real time. Within that, the Data Science team owns the quantitative platform:
We run a Python-first, production-grade quant platform: real-time curve construction, multi-instrument pricing, risk analytics, and trading strategy - all built and operated by the same team. Your primary focus is keeping these systems reliable, performant and well-engineered - while thinking deeply about how they serve customers and products. You'll also contribute to the quantitative models themselves as you grow into the domain.
What you&rsquo;ll own<ul><li>
Python microservices that run quantitative models in production</li><li>
Monitoring, alerting, and reliability for real-time pricing and risk systems</li><li>
Shared quant libraries used across multiple services</li><li>
CI/CD pipelines, deployment and operational excellence</li><li>
Incident response and root cause analysis for production issues</li></ul>
Where you&rsquo;ll grow<ul><li>
Real-time curve construction (yield curves, FX forwards, vol surfaces)</li><li>
Pricing models for new instruments and products</li><li>
Trading strategy development and optimisation</li><li>
Risk modelling alongside the Risk team (VaR, stress testing, scenario analysis)</li><li>
Backtesting frameworks and model validation</li><li>
Customer behaviour modelling, pricing strategy and product launch support</li><li>
Collaborating with product teams to translate quantitative insights into customer-facing decisions</li></ul> 
Qualifications 
What we&rsquo;re looking for<ul><li>
4+ years building and maintaining production Python systems</li><li>
Strong experience with microservices, databases, and production infrastructure</li><li>
Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.)</li><li>
Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness</li><li>
Experience with testing, monitoring, and debugging complex systems under load</li><li>
A product mindset - you think about who uses your systems and why</li><li>
Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers and engineers</li></ul>
It&rsquo;s a bonus if you are familiar with<ul><li>
FX or financial markets experience</li><li>
Term structure modelling, stochastic calculus or Monte Carlo methods</li><li>
Interest rate curve bootstrapping</li><li>
Algorithmic execution experience</li><li>
Data lake or warehouse experience (Snowflake, Iceberg, Spark etc.)</li></ul>
We&rsquo;re people without borders &mdash; without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you&rsquo;re passionate about learning new things and keen to join our mission, you&rsquo;ll fit right in.
Also, qualifications aren&rsquo;t that important to us. If you&rsquo;ve got great experience, and you&rsquo;re great at articulating your thinking, we&rsquo;d like to hear from you.
And because we believe that diverse teams build better products, we&rsquo;d especially love to hear from you if you&rsquo;re from an under-represented demographic 
Additional Information<div></div> 
For everyone, everywhere. We're people building money without borders &mdash; without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences. 
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.</div>

JPMorganChase

<div>
 
 Job Description
 
 
 
 We're seeking a highly motivated Associate or Vice President to join our Quantitative Trading &amp; Research (QTR) team in New York. The role blends quantitative development with close engagement with Trading and Risk to deliver impactful solutions.
 
 
 
 Position Summary
 
 
 
 As an Associate or Vice President on the Quantitative Trading &amp; Research team, you will partner closely with both XVA trading and Counterparty Credit risk. You will help in developing of quantitative models to enhance pricing and risk management.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop models/analytics for pricing and management of XVA, Margin and Counterparty Credit Risk, from research to product deployment.
 </li>
 <li>
 Partner with Trading and Risk to translate business needs into quantitative solutions, provide ongoing production support including incident triage and root-cause analysis.
 </li>
 <li>
 Own end-to-end delivery with Technology on implementation, testing and deployment.
 </li>
 <li>
 Drive model governance and continuous improvement in partnership with Model Validation, including documentation, controls, and ongoing performance monitoring.
 
 
 </li>
 </ul>
 
 Required Qualification, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Advanced degree in a quantitative field (or Bachelor's with 2+ years relevant experience).
 </li>
 <li>
 Strong understanding of probability/statistics and derivatives pricing; demonstrated ability to develop new quantitative approaches.
 </li>
 <li>
 Strong programming in Python and/or C++;
 </li>
 <li>
 Clear communicator with strong ownership, problem-solving skills, and ability to thrive in a fast-paced, collaborative environment.
 
 
 </li>
 </ul>
 
 Preferred Qualification, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Agentic AI and data pipeline/processing experience a plus.
 </li>
 <li>
 Product development lifecycle experience a plus.
 
 
 </li>
 </ul>
 
 ABOUT US
 
 
 
 JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
 
 
 We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
 
 
 We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
 
 
 JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans
 
 
 
 About The Team
 
 
 
 J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
</div>

Quantitative Trading & Research - Portfolio - Associate

<div>JOB DESCRIPTION 
 
 
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorgan Chase within the Equities Trading Technology Organization, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
The JPM Electronic Client Services (ECS) desk has established itself as an integral part of the franchise with continued business and market share growth (currently the top provider in EMEA for agency flow execution). As such you will be entering an environment where your colleagues share a market-leading mentality and constantly innovate and strive for excellence. Our product is global, so you will work closely with colleagues across the globe, who will appreciate and build on your skills, while also sharing their extensive experience to help you evolve.
The successful candidate will be the part of the equities algo development team and work with quants, traders, and technologists to develop, implement, support and maintain a market leading algo execution platform trading global markets. Work deliverables directly contribute to the business and this role participates in all aspects of the trading engine. You will work directly with all stakeholders in our business. Subject to skills match and interest, your work can span across engine infrastructure, quantitative models, introduction/use of trading signals, and trade analysis for fine-tuning and overall improvement of strategy behavior.
Job responsibilities<ul><li>
Design and develop algo trading strategies and execution platform</li><li>
Design and develop our simulation environment and maintain our automated testing of strategies and their responses to staged market conditions</li><li>
Enhance existing strategies to improve performance by reviewing analytics and evolving our models/signals</li><li>
Support the desk by deep-diving into specific cases to interpret strategy behavior and address any issues</li><li>
Develop scalable real-time processing solutions using agile methodologies</li><li>
Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems</li></ul>
Required qualifications, capabilities, and skills<ul><li>
Formal training or certification on software engineering concepts and proficient advanced experience in Java</li><li>
Proficiency in low latency, real-time, scalable trading systems</li><li>
Experience in building/dealing with high throughput messaging APIs, middleware products</li><li>
Ability to work effectively within a global team (spread across NA, EMEA, APAC) while influencing and contributing towards the development of the global platform</li><li>
Experience with algorithmic trading, including systematic trading</li><li>
Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field</li></ul>
Preferred qualifications, capabilities, and skills<ul><li>
Experience with FIX, Market Data, Analytics and OMS</li><li>
Market microstructure knowledge
</li><li>Equities, FX, options, derivatives asset class knowledge</li><li>
Jupyter/Pandas, KDB+/Q, Python, shell scripting
</li></ul>ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. 
</div></div> 
 
ABOUT THE TEAM
 
 
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Java Sr Lead eSoftware Engineer - Equities Algo Trading - VP

Talan

<div>Job Description 
C# Developer - Redis
London (Hybrid, 3 Days On-Site)
Talan is looking for a talented and driven C# Redis Developer to join a high-performing team in London. This is a hybrid role, with 3 days per week on-site, offering the opportunity to work on cutting-edge financial systems within a global markets environment.
You will play a key role in building and enhancing a distributed, real-time P&amp;L and risk analytics platform used by Fixed Income Rates and FX trading desks globally. This system delivers predictive and live P&amp;L insights, supporting critical trading decisions across international markets.
Working closely with developers, traders, and quantitative teams, you&rsquo;ll contribute across the full development lifecycle from design and implementation to optimisation and deployment.
What You&rsquo;ll Be Doing<ul><li>
Developing and maintaining scalable .NET/C# services within a distributed streaming architecture</li><li>
Building and supporting real-time data processing systems for P&amp;L and risk analytics</li><li>
Working on out-of-process services, system integrations, and data materialisation layers</li><li>
Driving Agile best practices, including test-driven development (TDD) and automation</li><li>
Collaborating with global teams across EMEA, NY, and APAC</li><li>
Taking ownership of features and proactively proposing improvements</li><li>
Troubleshooting issues and helping unblock cross-team dependencies</li></ul>
Essential Skills &amp; Experience<ul><li>
Strong expertise in C# / .NET development</li><li>
Experience with Redis Cluster</li><li>
Solid understanding of TDD and automated testing</li><li>
Experience with CI/CD pipelines</li><li>
Strong communication and stakeholder engagement skills</li><li>
Ability to quickly learn and adapt to new technologies</li><li>
Passion for automation, simplicity, and continuous improvement</li><li>
Strong grounding in computer science fundamentals and design patterns</li><li>
Collaborative team player with a proactive mindset</li></ul>
Desirable Skills<ul><li>
Experience with distributed systems, streaming, and messaging (e.g. Rx .NET)</li><li>
Knowledge of performance and memory profiling</li><li>
Experience optimising systems for speed and efficiency</li><li>
Familiarity with modern CI/CD tools and practices</li><li>
End-to-end experience across the full software development lifecycle</li></ul> 

Additional Information 
#TalanUK</div>

C# Developer - Redis

Search 945+ Quantitative developer jobs near you this July. New roles added regularly across leading industries. Apply today.

945 quantitative developer jobs Near Me

Junior Quantitative Developer (Algorithmic Engineering)

Quant Developer â€“ Quantitative Strategies & Data Group

Lead Data Scientist (Quant) - Treasury FX

Lead Data Scientist (Quant) - Treasury FX

Quantitative Trading & Research - Portfolio - Associate

Java Sr Lead eSoftware Engineer - Equities Algo Trading - VP

C# Developer - Redis