quant developer

Standard Chartered Bank

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 Requisition Number: 56656
 Job Location: London, GBR
 Global Grade: Band 4
 Work Type: Office Working
 Employment Type: Permanent
 Posting Start Date: 23/06/2026
 Posting End Date: 10/07/2026
 :
 Job Summary
 
We are looking for a quantitative developer to join our Credit Trading Quant team, which works in the front office, delivering technological solutions for Credit Trading into production.
 
The team owns the analytics and e-trading roadmap for credit trading in partnership with desk heads, with accountability for prioritisation, delivery, and realised business impact. We develop the foundational platform and analytics that enable performant e-trading for credit flow. We research systematic trading ideas that predict the future of financial markets, applying scientific techniques to find patterns in large, noisy and rapidly changing real-world data sets. We develop and deploy those ideas into production to positively impact targeted e-trading metrics.
 
The team also provides analytics and tooling to the whole of Credit Trading. Our tools help drive efficiency, increase revenue and make processes more robust. They can be delivered as dashboarding, web apps, scheduled jobs, APIs and more.
 
The successful candidate will: 
<ul>
<li>Design, develop and deploy high performance components critical for e-Trading in Credit Flow such as live position and risk calculations, RFQ response, and auto-hedging. These will predominantly be in Java but may use Python when appropriate.</li>
<li>Ensure components delivered for e-Trading also provide value across Credit Flow.</li>
<li>Advise on and action productionisation of tooling across our Credit Trading deliverables.</li>
<li>Take ownership of their projects from inception to final delivery. This will require effective engagement and coordination with many teams including Trading, KDB, QA, Dev Ops, PSS, and the second line.</li>
</ul>
Key Responsibilities
 
Strategic Leadership and Innovation
 Lead the enhancement of credit flow trading metrics including but not limited to response rates, market share growth, and profitability (PnL) by expanding the capabilities and reach of the e-Trading platform. Develop and deliver advanced analytics, dashboards, and applications that significantly improve Credit Trading efficiency and revenue generation while optimising returns on risk-weighted assets (RoRWA).
 
Business Collaboration and Delivery
 Engage directly with front office traders to capture detailed business requirements and translate these into efficient, production-ready analytical products. Provide rapid module development and flexible configurations to meet evolving trading desk needs. Facilitate business growth by making platform components accessible to line traders, enabling overarching credit flow improvements.
 
Process Excellence
 Coordinate cross-functional delivery teams, integrating efforts among trading, KDB, quality assurance, DevOps, and other technology partners to accelerate product development cycles, refactor existing codebases efficiently, and integrate new functionalities seamlessly. Champion best practices in application lifecycle management, code quality, environment governance, and cross-team collaboration.
 
Leadership and Cultural Development
 Serve as a role model for professional excellence, fostering a culture that values diversity, integrity, and proactive risk management. Establish and communicate clear vision and expectations while collaborating closely with risk and control functions to ensure compliance and robustness in all deliverables.
 
Risk and Quality Management
 Identify and address operational and model risks proactively, ensuring all quantitative methods and tools adhere strictly to internal governance frameworks and Group standards. Implement and oversee comprehensive testing protocols including user acceptance testing (UAT) and peer QA reviews before production deployment to uphold the highest quality standards.
 
Competencies
 Our ideal team member demonstrates action-oriented behaviour, effectively collaborates across diverse teams, and maintains a strong customer focus. They provide clear guidance, manage ambiguity with confidence, and actively contribute to talent development within the organisation. Strategic mindset, courage in decision-making, and the ability to instill trust are essential traits. Additionally, candidates should possess a strong technical competency relevant to credit trading analytics, quantitative methods, and e-trading platforms.
 
Our Ideal Candidate
 
The ideal candidate possesses expert Java skills and strong Python capability, with experience building low-latency, high-performance trading systems and scalable, production-grade applications. They have a solid understanding of e-trading environments, including RFQ workflows, and exposure to credit or fixed income markets, with familiarity across pricing, risk, and hedging. They combine strong system design, data, and analytical skills with the ability to work on large, complex datasets, and demonstrate a track record of delivering robust solutions into production. Comfortable partnering with front office traders, they can translate business needs into technical solutions, while maintaining a strong focus on testing, governance, and controls, and bringing a hands-on, can-do approach with full ownership of delivery.
 
About Standard Chartered
 
Standard Chartered is a leading international bank that combines global reach with agility and impact. With over 170 years of history, we have a distinguished record of fostering prosperity in the markets where we operate by putting diversity and inclusion at the core of our mission. Our culture embraces continuous challenge, innovation, and the shared goal of making a positive difference for clients, communities, and colleagues alike.
 
Our core purpose is to drive commerce and prosperity through our unique diversity, guided by our brand promise to be here for good. This means that as part of our team, you will be encouraged to act with integrity, challenge the status quo constructively, and put clients' interests at the forefront of your work.
 
At Standard Chartered, we believe that we are better together. We foster an inclusive environment where everyone can bring their whole selves to work. We value and celebrate diverse perspectives and strive to create a workplace where talent can thrive unrestricted by background or identity.
 
Do the right thing: We uphold the highest ethical standards, encourage assertive yet respectful challenge, and maintain client-centricity in all decisions.
 Never settle: We pursue continuous improvement through innovation, learn from our experiences, and simplify complexity.
 Are better together: We collaborate inclusively, appreciate differences, and build sustainable success collectively.
 What we offer
 
Aligned with our commitment to equitable and competitive compensation, we offer an attractive package designed to support your comprehensive wellbeing—mental, physical, financial, and social.
 
Comprehensive Benefits: Core bank funding for retirement savings, medical, and life insurance is supplemented with flexible and voluntary benefits tailored to local needs.
 Generous Leave Policies: Alongside a minimum of 30 combined annual and public holidays, we offer parental maternity leave (up to 20 weeks), sabbaticals (up to 12 months), and dedicated volunteering leave to support work-life harmony and community engagement.
 Flexible Working Arrangements: We provide adaptable work patterns combining office presence with remote working options to help balance professional and personal commitments.
 Wellbeing Support: Access to Unmind, a leading digital wellbeing platform, resilience development programs, global Employee Assistance Programme, mental health first aid resources, and a wide range of self-help tools designed to promote holistic wellness.
 Continuous Learning and Growth: We cultivate a culture that encourages reskilling and upskilling through diverse learning opportunities across physical, virtual, and digital channels.
 Inclusive Culture: Be part of a values-driven organisation committed to celebrating and embracing diversity, ensuring that everyone feels respected and empowered to fulfil their potential.
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Executive Director, Quant Developer - Credit Trading Quant

Citi

<div><h2 class="jobSectionHeader">Discover your future at Citi</h2>
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.
<h2 class="jobSectionHeader">Job Overview</h2>
Quant Developer &ndash; Trading Analytics &ndash; Equity Derivatives Tech
Engineer the future of global finance. At Citi, our Tech team doesn&rsquo;t just support finance &ndash; we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech.
Equities Tech
Equities Technology at Citi is undertaking a bold, multi‑year transformation to build a best‑in‑class global platform across execution, prime, clearing and cross‑product margining. We are re‑engineering our technology estate to achieve world‑leading performance and resiliency, enabling new capabilities in advanced execution, global market connectivity, and modernised post‑trade, clearing and margin processes. Our ambition is to deliver a seamlessly integrated, highly automated platform that drives outstanding client outcomes and accelerates growth across our global franchise. As part of the team, you&rsquo;ll collaborate closely with high‑calibre engineers and deeply engaged business and product partners - working together to define and deliver the next generation of Equities technology at Citi.
The Team
Citi&rsquo;s Equities Technology organisation is investing in front-office quantitative development to support the Derivatives Flow, Delta 1, and Exotics desks.
We are hiring a hands-on Quantitative Developer to build data-driven, model-led trading analytics and desk tooling for Sales, Trading, and Quant teams, supporting pricing, signal generation, backtesting, risk analysis, and real-time market insight.
Role Overview
<ul><li>You will work directly with traders, quants, and structurers to design and deliver production-grade tools for the front office.</li>
<li>Build trading analytics and desk tools for the Derivatives Flow, Delta 1, and Exotics businesses. Partner with traders and quants to productionise models and analytical workflows</li>
<li>Build real-time pricing, risk, and market data analytics to support positions, Greeks, P&amp;L, exposures, and execution monitoring.</li>
<li>Develop backtesting and simulation frameworks for equity derivatives and structured products.</li>
<li>Create data pipelines and services for market data, trade data and derived analytics.</li>
<li>Deliver tools for trade idea generation, volatility analysis, flow analysis, basket/index analytics, and hedging support.</li>
<li>Improve the desk technology stack through reusable libraries, APIs, and robust engineering practices.</li>
<li>Optimise performance, scalability, and reliability of quantitative applications.</li>
</ul>Skills required:
<ul><li>Python data engineering stack: Pandas/Parquet/FastAPI/Jupyter/Airflow/Streamlit/Ray</li>
<li>Experience with high-performance data stores and query engines like Trino/Snowflake</li>
<li>Experience with financial concepts such as Equities / Options / Futures</li>
<li>Demonstrable evidence using agentic frameworks for Software development and experience with AI-native solutions using context engineering techniques.</li>
<li>A degree in quantitative subjects such as Engineering, Applied Mathematics, Physics, Software Engineering</li>
</ul>Skills desired:
<ul><li>Experience with real-time streaming analytics tech like Kafka / Flink</li>
<li>Experience with cloud container technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes</li>
</ul>This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
What we&rsquo;ll provide you
By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:
<ul><li>27 days annual leave (plus bank holidays)</li>
<li>A discretional annual performance related bonus</li>
<li>Private Medical Care &amp; Life Insurance</li>
<li>Employee Assistance Program</li>
<li>Pension Plan</li>
<li>Paid Parental Leave</li>
<li>Special discounts for employees, family, and friends</li>
<li>Access to an array of learning and development resources</li>
</ul>Visit our About Us | Culture, Values &amp; Benefits page to learn more.
Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.
#LI-AP2
-
<h2 class="jobSectionHeader">Job Family Group:
</h2>Technology
-
<h2 class="jobSectionHeader">Job Family:</h2>
Applications Development
-
<h2 class="jobSectionHeader">Time Type:</h2>
Full time
-
<h2 class="jobSectionHeader">Most Relevant Skills
</h2>Please see the requirements listed above.
-
<h2 class="jobSectionHeader">Other Relevant Skills
</h2>For complementary skills, please see above and/or contact the recruiter.
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</div>

Lead Developer – VP – XVA Technology

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>

Lead Data Scientist (Quant) - Treasury FX

JPMorganChase

<div>JOB DESCRIPTION 
 
 
As a Senior RAD (Rapid Action Development) Developer in our Rates development team , you will to work in close partnership with quant researchers, traders, and technology teams. The role sits at the intersection of front-office trading and technology, with direct ownership of the tools traders rely on daily. This is a hands-on position suited to someone who thrives in a fast-paced trading floor environment and wants genuine proximity to the business.
Job Responsibilities
As a Senior Developer you will build, maintain, and enhance the desk's proprietary tools &mdash; including bespoke spreadsheets and python-based applications &mdash; ensuring traders have reliable, performant infrastructure for pricing, risk management, and Profit and Loss analysis. You will collaborate with quant research to translate model changes into production tooling, work alongside strategic technology partners on platform integration, and act as a first point of contact for desk-side technical issues. Priorities shift quickly, and the ability to triage, communicate, and deliver under pressure is essential. You will need to maintain , upgrade and improve the existing software to latest software and hardware versions recommended.
Required qualifications, skills, and capabilities
<ul><li>Minimum 5 years of hands-on development experience in VBA and XLLoop</li>
<li>Working experience in Python</li>
<li>Solid understanding of software engineering principles including object-oriented design, testing methodologies, and version control practices</li>
<li>Demonstrated ability to write clean, maintainable code and work effectively within large, complex codebases</li>
<li>Strong verbal and written communication skills with ability to articulate technical concepts to both technical and non-technical stakeholders</li>
<li>Proven ability to gather requirements from business users and collaborate across multiple teams and functions</li>
<li>Capability to translate business needs into technical solutions and explain technical constraints in business terms
</li></ul>Preferred Qualifications
<ul><li>Prior experience with other financial risk stack platforms such as SecDB, Quartz, or Athena</li>
<li>Knowledge of rates products including Swaps, Securities, Options, Cap Floors, and Repo</li>
<li>Familiarity with risk methodologies and PnL calculation frameworks with exposure to quantitative finance concepts and market risk measures</li>
<li>Experience with distributed systems and real-time data processing</li>
<li>Proficiency with relational and NoSQL databases</li>
<li>Understanding of regulatory reporting requirements in financial services</li>
<li>Ability to use AI tools for fast paced analysis and development
</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>

Front Office RAD Lead Software Engineer

IMC Trading

<div>
 At IMC, technology is at the core of everything we do. Our innovative in-house software drives millions of trading decisions daily, allowing us to outperform the competition through faster, more effective decision-making.
 
 
 Based in Amsterdam, IMC's Trading Strategy Software Engineers deliver a wide variety of applications, systems and tools, including trading algorithm implementations, options pricing, volatility calculations, simulation frameworks, and data analysis &amp; visualization tools for traders.
 
 
 
 Your Core Responsibilities
 
 
 
 You will work together with traders, researchers, quants, and fellow engineers. You will take ownership of the end-to-end product development process for deliver high-impact projects -from requirements gathering to production deployment. Your goal is to deliver high-performance, reliable software using frequent iterations to get quick feedback and shorten our time-to-market. Key responsibilities include:
 
 
 <ul>
 <li>
 Close collaboration with traders to gain a deep understanding of Trading strategies and implement them optimally;
 </li>
 <li>
 Building cutting edge solutions by developing, testing, deploying, tuning, and maintaining a variety of applications, algorithms, new research infrastructures, and automation for Trading Teams;
 </li>
 <li>
 Continuously improving functional and operational sides of Strategy systems to enhance user experience and overall system performance.
 
 
 </li>
 </ul>
 
 Your Skills And Experience
 
 
 
 <ul>
 <li>
 At least 3 years of experience as a Software Engineer with excellent programming abilities;
 </li>
 <li>
 Solid understanding of computer science fundamentals, including algorithms, complexity analysis, data structures, memory models, and concurrency models;
 </li>
 <li>
 Strong quantitative and analytical skills and a keen interest in applying them to the Trading field;
 </li>
 <li>
 Prior experience having worked in trading or related industries (HFT, MFT, exchanges, hedge funds etc)
 </li>
 <li>
 Ability to work independently, analyze business requirements, communicate with stakeholders, take full ownership of the solutions you build and deliver;
 </li>
 <li>
 Highly adaptable and able to thrive in uncertain, rapidly evolving environments;
 </li>
 <li>
 Master&rsquo;s or PhD degree (or equivalent experience) in Computer Science or a related field;
 </li>
 <li>
 Experience with JVM-based languages (Java, Kotlin) or Python;
 </li>
 <li>
 Advanced math and quantitative skills are a plus;
 </li>
 <li>
 Experience with and interest in building information-rich user-facing applications, GUIs, UXs is a plus;
 </li>
 <li>
 Experience with large-scale data and research pipelines compute clusters is a plus
 
 
 </li>
 </ul>
 In our current Tech stack we work with Java 21+ and Python 3 as the main programming languages to implement our Strategy software. We constantly evolve our technology stack and look for tools that best suit the problems at hand. If a new technology holds promise, we actively explore, adopt, and develop it.
 
 
 
 About Us
 
 
 
 IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we&rsquo;ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
</div>

Trading Strategy Software Engineer

<div><h2 class="jobSectionHeader">Discover your future at Citi</h2>
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.
<h2 class="jobSectionHeader">Job Overview</h2>
By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress.
Team/Role Overview
Citi is looking for a Quantitative Developer to join the FX options quantitative development team, building and maintaining the pricing and risk infrastructure that powers the FX Options trading desk. In this role, you will sit at the intersection of software engineering and quantitative finance, translating complex mathematical models into robust, production-grade systems used by traders and structurers daily. This is an opportunity to make a direct and measurable impact on how FX Options are priced, risk-managed, and delivered at global scale.
<h2 class="jobSectionHeader">What you&rsquo;ll do</h2>
<ul><li>Build and maintain analytics libraries that support real-time pricing and risk management for FX Options products.</li>
<li>Design and implement quantitative pricing models using numerical techniques including Monte Carlo methods and partial differential equation solvers.</li>
<li>Develop production software using C++ and Python, applying object-oriented design principles and performance optimisation techniques including hardware acceleration.</li>
<li>Work closely with traders and structurers to translate business requirements into reliable, scalable quantitative systems.</li>
<li>Collaborate with technology teams to integrate models into trading infrastructure.</li>
<li>Partner with risk, compliance, legal, and finance teams to ensure quantitative systems meet governance and control standards.</li>
<li>Apply sound risk awareness when contributing to business decisions, ensuring that model outputs and system behaviour align with the firm's risk and conduct standards.</li>
</ul>What we&rsquo;ll need from you
<ul><li>Demonstrated software engineering ability in C++ and Python with practical experience.</li>
<li>Knowledge of statistics, probability theory, and their application to the evaluation and risk assessment of complex financial instruments.</li>
<li>Ability to design and implement numerical schemes and solve analytical equations relevant to financial modelling.</li>
<li>Familiarity with market data structures and how they are used in pricing and risk calculations.</li>
<li>Understanding of quantitative methods and investment products at any level of depth, with a willingness to develop further in a trading environment.</li>
<li>Clear and concise written and verbal communication skills, with the ability to explain technical concepts to non-technical partners.</li>
<li>A bachelor's degree or equivalent experience in a relevant discipline such as mathematics, computer science, physics, or engineering.</li>
</ul>Beneficial Skills &amp; Qualifications
<ul><li>Exposure to FX Options or other derivatives products, including an understanding of how they are structured and traded.</li>
<li>Experience working in a financial services environment alongside trading desks or quantitative research teams.</li>
<li>Practical exposure to hardware acceleration techniques for performance-critical quantitative applications.</li>
</ul><h2 class="jobSectionHeader">What We Offer</h2>
We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well.
By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:
<ul><li>Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure</li>
</ul><ul><li>A discretional annual performance related bonus</li>
<li>Private medical insurance packages to suit your personal circumstances</li>
<li>Employee Assistance Program
</li><li>Pension Plan</li>
<li>Paid Parental Leave</li>
<li>Special discounts for employees, family, and friends</li>
<li>Access to an array of learning and development resources</li>
</ul>Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive.
Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities.
-
<h2 class="jobSectionHeader">Job Family Group:
</h2>Institutional Trading
-
<h2 class="jobSectionHeader">Job Family:</h2>
Quantitative Analysis
-
<h2 class="jobSectionHeader">Time Type:</h2>
Full time
-
<h2 class="jobSectionHeader">Most Relevant Skills
</h2>Please see the requirements listed above.
-
<h2 class="jobSectionHeader">Other Relevant Skills
</h2>For complementary skills, please see above and/or contact the recruiter.
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</div>

FX Options Quantitative Developer (Assistant Vice President)

Inherent Technologies

<div>
 
 Job Description
 
 
 
 Seeking a
 
 hands-on AI Engineer/Developer
 
 to rapidly prototype and deliver AI-driven solutions across investment, research, and trading functions. This role is ideal for someone who can bridge
 
 financial domain knowledge with applied AI/ML development
 
 , building proof-of-concepts that can evolve into production-grade tools supporting investment decision-making.
 
 
 
 Key Responsibilities
 
 
 
 Design and develop
 
 AI/ML prototypes
 
 using Python to support investment research, portfolio analytics, and trading insights
 
 
 Build and test
 
 LLM-based and data-driven use cases
 
 (e.g., research summarization, signal generation, document analysis, automation)
 
 
 Work closely with
 
 investment professionals, research teams, and data engineers
 
 to translate business needs into functional AI solutions
 
 
 Develop and integrate
 
 data pipelines, APIs, and analytical models
 
 to support rapid experimentation
 
 
 Leverage tools such as
 
 Jupyter, Pandas, NumPy, LangChain, and cloud AI services (AWS/Azure/OpenAI)
 
 
 
 Perform
 
 data exploration, feature engineering, and model validation
 
 on financial datasets
 
 
 Iterate quickly on prototypes, incorporating feedback to refine models and outputs
 
 
 Ensure solutions consider
 
 data security, governance, and compliance
 
 within a financial services environment
 
 
 
 Required Qualifications
 
 
 
 10+ years of experience in
 
 Python development
 
 with strong hands-on coding ability
 
 
 Experience building
 
 AI/ML or LLM-based applications and prototypes
 
 
 
 Exposure to
 
 financial services, asset management, trading, or investment research
 
 
 
 Strong experience with
 
 data analysis libraries
 
 (Pandas, NumPy) and working with structured/unstructured data
 
 
 Familiarity with
 
 APIs, microservices, and cloud platforms (AWS, Azure, or GCP)
 
 
 
 Ability to work in a
 
 fast-paced, iterative environment
 
 with direct interaction with business stakeholders
 
 
 
 Preferred Qualifications
 
 
 
 Experience with
 
 LLM frameworks
 
 (LangChain, RAG architectures, vector databases)
 
 
 Knowledge of
 
 financial data sets, market data, or portfolio analytics
 
 
 
 Experience prototyping tools for
 
 quant research, credit analysis, or trading workflows
 
 
 
 Familiarity with
 
 Snowflake, Databricks, or modern data platforms
 
 
 
 
 What Success Looks Like
 
 
 
 Rapid delivery of
 
 high-impact AI prototypes
 
 that demonstrate clear business value
 
 
 Strong collaboration with front-office teams to
 
 solve real investment and research problems
 
 
 
 Ability to evolve prototypes into scalable solutions in partnership with engineering teams
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Python Developer/AI Engineer

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