Quantitative Developer (UK, Singapore, Poland or France)

Jobleads
London
2 weeks ago
Create job alert

Job Summary

This role could be based in UK, Singapore, Poland or France. When you start the application process you will be presented with a drop down menu showing all countries, please ensure that you only select a country where the role is based

Standard Chartered bank is hiring senior Haskell developers for the front office Modelling and Analytics Group. We have dozens of developers working in very diverse financial market projects within corporate and institutional banking. Some of our projects are user-facing GUIs, others are server-side request handlers or reporting tools. Their scope ranges from small applications to support a single team, to processes that handle millions of trades, or have thousands of users. We use Haskell (or our in-house variant, Mu) for practically everything we do.

We expect solid computer science knowledge and demonstrated typed functional programming experience at all levels, but you will also be responsible for architecture design, stakeholder communication, project management, and project and/or team leadership. We use git for source control and Azure DevOps for code reviews, documentation and project tracking. No finance knowledge is required, but excellent communication and collaboration skills are essential. We believe our unique diversity is a key aspect of our success and strive to maintain an open and inclusive culture to everyone.

After an initial three-month period in-office, this role can be performed flexibly in time and location, but only from the country of payroll.

Key Responsibilities

Strategy

  • Software development to generate revenue for the bank
  • Understand front office concerns in order to bridge the gap between the front office and back office
  • Risk modelling to quantify the various kinds of risks faced by the Bank
  • Deliver robust, high performance software and quantitative analyses

Business

  • Work closely with FM traders and structuring teams, analysing trades and asset origination opportunities for execution and ongoing measurement and management
  • Maintain and develop cutting edge trading, pricing and multi assets risk management platforms
  • Work on projects ranging from client-facing GUIs, server-side request handlers or reporting tools, and devops
  • Use of Haskell and our in-house variant, Mu

Processes

  • Ensure adherence to all internal and external regulations
  • Support Operational Risk monitoring via reports and data provided to Compliance and BORM
  • Assist in ensuring that there are appropriate and documented internal controls and procedures in place

People & Talent

  • Lead through example and build the appropriate culture and values.
  • Set appropriate tone and expectations amongst colleagues and work in collaboration with partners
  • Contribute to continuous process improvement and sharing best practice

Risk Management

  • An awareness and understanding of the main risks facing the Group and the role the individual plays in managing them
  • Embed Operational Risk monitoring as an integral part of the business process. Towards this, to effectively carry out the assigned role, if any, under Compliance Risk Management and Operational Risk Management Assurance

Governance

  • Responsible for assessing the effectiveness of the Group’s arrangements to deliver effective governance, oversight and controls in the business and, if necessary, oversee changes in these areas
  • Awareness and understanding of the regulatory framework in which the Group operates, and the regulatory requirements and expectations relevant to the role
  • Willingness to ‘speak up’ in the event of any realised or perceived breach of group conduct rules or laws by colleagues
  • Willingness to work with any local regulators in an open and cooperative manner

Regulatory & Business Conduct

  • Display exemplary conduct and live by the Group’s Values and Code of Conduct.
  • Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
  • Assist the team in achieving the outcomes set out in the Bank’s Conduct Principles: Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.
  • Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
  • Adherence to code of conduct prescribed by FCA

Key stakeholders

  • FM Trading & Trading Heads
  • FM Structuring
  • MAG
  • Electronic Market Solutions
  • SABRE IT

Other Responsibilities

  • Demonstrate Here for good and Group’s brand and values in daily behaviour
  • Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures

Skills and Experience

  • Software Engineering
  • Haskell / Mu Development
  • Technical Project Leadership
  • Stakeholder Communication
  • FM Business Domain Knowledge

Qualifications

  • Haskell programming experience.
  • Solid computer science knowledge (algorithms, data structures, complexity, concurrency / parallelism)

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 thingand 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-offincluding 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 workingoptions based around home and office locations, with flexible working patterns.
  • Proactive wellbeing supportthrough 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 cultureto 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.

Recruitment Assessments

Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers websitewww.sc.com/careers

#J-18808-Ljbffr

Related Jobs

View all jobs

Quantitative Developer

Quantitative Developer

Quantitative Developer

Quantitative Developer

Quantitative Developer - RELOCATION TO MADRID

Quantitative Developer - Trading Algorithms

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.