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Lead a quant team delivering e‑trading solutions for Credit Trading at Standard Chartered.
Build analytics, models, dashboarding and tools to enhance Credit Flow trading performance.
Job Summary
We are looking for a quantitative analyst 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:
Design and develop capabilities across all components of our e-Trading platform including fair value engines, portfolio and risk management engines, client segmentation and RFQ response.
Ensure each component delivered for e-Trading also provides value across Credit Flow.
Deploy analytical techniques as appropriate ranging from statistical analysis to modern machine learning.
Initiate and develop the analytics and tooling that serves the whole of Credit Trading.
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.
Key Responsibilities
Strategy
- Improve Credit Flow trading metrics such as response rates, hit-rates, market share and PnL through the expansion and improvement of our e-Trading platform.
- Improve Credit Trading performance through the delivery of analytics, tools, dashboards and applications that enable enhanced efficiency, revenue and RoRWA.
Business
- Partner with front office traders to understand desk requirements and translate them into flexible, production-ready analytical products with rapid turnaround on new modules and configurations.
- Support business growth by ensuring components of the e-Trading platform are made available to line traders to improve metrics across all of Credit Flow.
Processes
- Participate in coordination of cross-functional delivery involving trading, KDB, QA, DevOps, ION, and PSS teams to manage rapid refactorings and new feature extensions.
- Target best practice in code quality, environment management, and cross-team integration.
People & Talent
- Lead through example and build the appropriate culture and values. Set appropriate tone and expectations amongst colleagues and work in collaboration with risk and control partners.
- Ensure active communication of vision, priorities, and progress to the business to foster engagement, awareness, and motivation.
- Contribute to continuous process improvement and sharing best practice.
Risk Management
- Proactively identify, escalation, and mitigate operational and model risks, including ensuring that analytical tools are appropriately registered as Deterministic Quantitative Methods (DQMs) or models in line with Group standards.
- Apply rigorous testing and quality assurance processes — including UAT cycles and cross-team QA reviews — before deploying models, dashboards and pricing tools to production.
Our Ideal Candidate
The ideal candidate will bring proven experience in developing quantitative analytics and models within a front office or trading environment , with strong proficiency in Python (and working knowledge of Java) . They will have a deep understanding of credit markets and fixed income products , alongside hands‑on experience supporting or building solutions for e‑trading workflows such as pricing, risk analytics, and RFQ optimisation . The candidate will demonstrate the ability to apply statistical and machine learning techniques to large, complex datasets, translating insights into scalable, production‑ready tools that drive trading performance. They will be comfortable partnering closely with traders and cross‑functional teams, showing strong ownership of delivery from concept through to production, while maintaining high standards around testing, governance, and robustness .
About Standard Chartered
We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.
Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.
Together we:
- Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
- Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
- Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term
What we offer
In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.
Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
Flexible working options based around home and office locations, with flexible working patterns.
Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first‑aiders and all sorts of self‑help toolkits.
A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.