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analytics engineer

quantitative analyst

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>
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)

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

Standard Chartered Bank

#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-
 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.
 #body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-

Executive Director, Quant Developer - Credit Trading Quant

JPMorganChase

<div>JOB DESCRIPTION 
 
 
At JPMorganChase, you'll be part of a world-class quantitative modeling group that drives innovation in financial engineering, data analytics, and portfolio management.
As a Vice President in the Quantitative Trading &amp; Research team, you'll collaborate with traders, risk managers, and controllers to develop and maintain sophisticated models for fair value measurement across multiple business lines. You should be passionate, curious, and ready to make an impact.
Job responsibilities<ul><li>
Develop mathematical models for the valuation of credit derivatives, structured lending facilities, and illiquid collateral</li><li>
Implement methodologies for model calibration and build analytics to manage model risk appetite</li><li>
Leverage machine learning, AI, and data analytics to enhance valuation methodologies and drive innovation</li><li>
Define methodology for pricing adjustments, model limitations, parameter uncertainty, and liquidity reserves</li><li>
Monitor model performance metrics to ensure models behave as expected over time</li><li>
Design and develop software frameworks for analytics delivery to systems and applications</li><li>
Collaborate with front office trading desks, controllers, and model risk teams to safeguard the firm's balance sheet</li></ul>
Required qualifications, capabilities, and skills<ul><li>
Demonstrated quantitative and problem-solving skills, including research abilities</li><li>
Strong understanding of advanced mathematics in financial modeling (probability theory, stochastic calculus, statistics)</li><li>
Hands-on experience with data analytics, large data sets, and tools for analysis and visualization</li><li>
Proficiency in code design and programming, primarily Python and C++</li><li>
Practical experience with code performance optimization, debugging, and reverse engineering</li><li>
Excellent verbal and written communication and team skills in a multi-location environment</li><li>
Deep understanding of financial products, their valuations, and associated risks</li></ul>
Preferred qualifications, capabilities, and skills<ul><li>
Advanced degree (PhD, MSc or equivalent) in Engineering, Mathematics, Physics, Computer Science, etc.</li><li>
Proven quantitative model development or model validation experience</li><li>
Markets experience and familiarity with trading concepts and terminology</li><li>
Knowledge of options pricing theory, trading algorithms, financial regulations, stochastic processes, partial differential equations, and numerical analysis</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>

Quantitative Trading & Research - Valuation Models - Vice President

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 
</li>
<li>10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree in Statistics, Mathematics, Data Science , Engineering, Physics, Economics, or a related quantitative field.</li><li>
Experience taking highly ambiguous concepts and personally designing the statistical models, data structures, and code to ship them as finished, sustainable data products.</li><li>
Experience navigating e-commerce or marketplace data, with a deep understanding of user acquisition, inventory data, and merchant/consumer behavior.</li><li>
Experience with Large Language Models, causal inference, experiment design at scale, and defining evaluation frameworks for agentic workflows.</li><li>
Experience maintaining full accountability for a technical codebase, balancing speed against analytical debt and model stability.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

Our mission is to build scalable, commercially focused, and machine-consumable data products and insights that simplify problems and drive outcomes for merchants and consumers.
As a Staff Data Scientist, you are a technical leader who consolidates deep analytical excellence, statistical modeling, and domain expertise into highly maintainable, scalable data products. You bridge the gap between complex mathematical insights and strategic business decisions across high-impact engineering and product teams. Operating with high autonomy, you solve the organisation&rsquo;s most complex, ambiguous problems rather than being confined to a single product team or silo. You demonstrate exceptional scientific quality, ensuring that our analytical methodologies are robust, reproducible, and built to last. You partner directly with Engineering and Product to actively shape our agentic AI data products in our fast-moving &quot;one-team&quot; model.
The various, high-velocity team of 30 spans Mountain View and London, bringing together experts in Data Science. As a senior leader in this unit, you will have a direct global impact, actively inputting to Google&rsquo;s high-profile agentic commerce AI initiatives.
Users come first at Google. Nowhere is this more important than on our Advertising and Commerce team: we believe that ads and commercial information can be highly useful to our users if that information is relevant to what our users wish to find or do. Advertisers worldwide use Google Ads to promote their products; publishers use AdSense to serve relevant ads on their website; and business around the world use our products (like Google Shopping, and Google Wallet) to support their online businesses and bring users into their offline stores. We are constantly innovating to deliver the most effective advertising and commerce opportunities of tomorrow.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Goal Setting and Measurement: Set rigorous data science goals and translate highly undefined, ambiguous problems into concrete, structured, and auditable data and measurement frameworks.</li><li>
Data Productisation: Package complex data flows, causal inference models, and agentic workflows into sustainable, well-designed data products and reusable codebase assets that move beyond traditional dashboards..</li><li>
Strategic Advising: Act as an expert advisor to Engineering and Product Management Directors, delivering fast-turnaround, data-driven perspectives that influence product roadmaps and strategic pivots.</li><li>
System and Schema Design: Define and evaluate complex metrics (including conversational evaluation frameworks) while partnering with Data Engineering to co-design clean data schemas.</li><li>
Technical Execution: Proactively jump into high-priority, high-friction data science challenges, establishing fast insights and balancing with high standards for experimental design, data modeling and storytelling.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Product Data Scientist, Google Shopping

<div>JOB DESCRIPTION 
 
 
Be an integral part of a technology team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Python Quant Data Engineer you will help build the technology for Systematic Equities Trading Business. The role would sit in the Equities Trading Data &amp; Analytics technology team. As a Vice President Software Engineer at JPMorgan Chase within the agile technology team, you will play a crucial role in improving, developing, and delivering top-tier technology products in a secure, stable, and scalable manner. Your skills and contributions will have a substantial impact on the business, and your profound technical expertise and problem-solving methodologies will be utilized to address a wide range of challenges across various technologies and applications.
Job Responsibilities<ul><li>
Build and support fast, reliable, globally consistent data pipelines (data ingestion, cleaning, backfilling, storing) for the research and execution systems ensuring data integrity and low-latency access for research and trading.</li><li>
Work with the research and trading teams to onboard new datasets efficiently and consistently for use globally by the business.</li><li>
Design and build robust tools and frameworks to support quantitative research and production trading.</li><li>
Design, build and support research infrastructure (e.g. data access APIs, high performant and scalable simulation environments, feature and strategy signal stores)</li><li>
Build and support research and trading analytics libraries (e.g. markouts, strategy analytics)</li><li>
Serve as a function-wide subject matter expert in one or more areas of focus</li><li>
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle</li><li>
Influence peers and project decision-makers to consider the use and application of leading-edge technologies</li></ul>
Required Qualifications, Capabilities, And Skills<ul><li>
Design and implementation of front-office systems for quant trading.</li><li>
Hands-on practical experience delivering system design, application development, testing, and operational stability</li><li>
Strong expertise in Python. Comfortable with scientific &amp; dataset libraries such as pandas, numpy.</li><li>
Experience with KDB/Q</li><li>
Knowledge of data pipelines, market data processing and backtesting workflows.</li><li>
Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines</li><li>
Ability to tackle design and functionality problems independently with little to no oversight</li><li>
Proficiency in automation and continuous delivery methods</li><li>
In-depth knowledge of the financial services industry and their IT systems</li><li>
Academic experience in Computer Science, Computer Engineering, Mathematics, or a related technical field</li><li>
Knowledge of machine learning, statistical techniques and related libraries.</li></ul>
Preferred Qualifications, Skills And Capabilities<ul><li>
Strong knowledge and experience in FIX, Market Data, Analytics, OMS, and equities trading in global markets are assets</li><li>
Additional knowledge of Java / C++ is a strong plus.</li><li>
Practical cloud native experience is a plus.</li><li>
Practical cloud experience is a plus.</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>

Python Quant Data Engineer - Systematic Trading Technology

Arenko

<div>
 
 
 Who are we?
 
 
 
 Arenko was founded in 2014 and we are growing rapidly in an emerging sector. We&rsquo;d describe ourselves as fast-paced and inclusive. Our team are self-motivated problem solvers who take a collaborative approach to help the business develop and grow.
 
 
 
 
 
 
 So what do we do?
 
 
 
 As we move to the high-renewables and low carbon era, electricity storage is transforming the way the energy industry operates. The energy industry is fast becoming a digital and multidisciplinary sector that provides a fundamental service for modern society, but these needs must be delivered in a socially responsible way. Arenko is using new technology to add flexibility to the grid and secure supply in this fast-changing industry, offering a huge variety of opportunities for the future. At Arenko we are strongly committed to our mission of building a sustainable future by enabling a zero-carbon grid worldwide. Energy storage has a crucial role to play in the energy transition, and our technology enables the transformation of energy systems. We have committed a Sustainability Strategy more details of which can be found on our website at
 
 https://arenko.group/sustainability/
 
 
 
 
 
 
 Sound like something you care about? Please read on&hellip;
 
 
 
 
 
 
 What&rsquo;s the role?
 
 
 
 As a Data Scientist in the Nimbus Trade Optimiser team at Arenko, you will play a key role in shaping and evolving our algorithmic physical power trading strategies. Nimbus Trade is an algorithmic trading product used by traders and asset owners to automate the trading of grid-scale batteries and flexible assets. This role focuses on the data, optimisation, and strategy logic embedded in a production trading system, directly influencing how assets are traded in live energy markets. You will work at the intersection of data science, optimisation, and energy markets, helping to design the next generation of our optimiser and discover new trading and operational strategies in a rapidly changing energy landscape.
 
 
 
 
 
 Batteries and flexibility are fundamental to operating electricity grids with high levels of intermittent renewable generation. In this role, you will focus on understanding how our optimiser behaves in real market conditions, identifying opportunities to improve performance, robustness, and value capture. You will explore large and complex datasets produced by energy markets, trading systems, and simulations, and translate insights into improvements to optimiser logic, strategy design, and decision-making frameworks. You will work closely with engineers and traders to ensure data-driven ideas are implemented, tested, and evaluated in real market conditions. Your work will directly support trading outcomes for a market-leading client base operating battery and flexibility assets.
 
 
 
 
 
 You will:
 
 <ul>
 <li>
 Analyse market, trading, and operational data to identify opportunities to improve trading performance, optimiser behaviour, and value capture.
 </li>
 <li>
 Design, develop, and evaluate machine learning, statistical, and optimisation-based solutions to support trading and operational decision-making.
 </li>
 <li>
 Develop and test new trading and operational strategies using historical analysis, simulation, and experimentation techniques.
 </li>
 <li>
 Contribute to the design and evolution of optimiser objectives, constraints, and decision-making frameworks.
 </li>
 <li>
 Collaborate closely with engineers and traders to translate analytical insights into production-ready improvements.
 </li>
 <li>
 Build tools, analyses, and workflows that improve visibility into optimiser performance and reduce reliance on manual processes.
 </li>
 </ul>
 
 
 
 
 
 Who are you?
 
 
 
 Here at Arenko, we appreciate every single employee and the values they bring to the company so you might be completely different to what we expected. That being said, here&rsquo;s a few things we&rsquo;d love you to tick the boxes on;
 
 
 
 
 <ul>
 <li>
 You&rsquo;re degree level educated in Computer Science or a related discipline
 
 or
 
 you&rsquo;re able to demonstrate equivalent workplace experience.
 </li>
 <li>
 You have 2+ years of relevant experience in data science, quantitative analysis, quantitative research, or a closely related role.
 </li>
 <li>
 You&rsquo;re experienced in writing clean, maintainable, and production-ready Python code.
 </li>
 <li>
 You have experience developing, evaluating, and deploying machine learning models, with an understanding of the strengths and limitations of different approaches.
 </li>
 <li>
 You have solid knowledge of applied statistics, probability, and experimental best practices, with an understanding of common pitfalls and their impact on decision-making.
 </li>
 <li>
 You&rsquo;re familiar with optimisation techniques and their application to real-world decision-making problems.
 </li>
 <li>
 You have experience working on quantitative decision-making systems such as trading, optimisation, forecasting, or automated control systems. Experience in energy markets or battery optimisation is advantageous but not required.
 </li>
 <li>
 You&rsquo;re able to explain analytical approaches and findings clearly to both technical and non-technical audiences.
 </li>
 <li>
 You have strong data visualisation and storytelling skills, able to link analysis back to real-world impact.
 </li>
 <li>
 You&rsquo;re a self-motivated and pragmatic problem solver who enjoys working collaboratively in cross-functional teams.
 </li>
 <li>
 You&rsquo;re focused on automation, reproducibility, and building tools rather than repeating manual analysis.
 </li>
 <li>
 You can demonstrate curiosity and a desire to continuously learn, improve, and deepen their understanding of optimisation, trading, and energy markets.
 </li>
 </ul>
 
 
 
 
 
 So what&rsquo;s in it for you?
 
 
 
 Hopefully the first thing is you love what we do and want to be part of the mission but let&rsquo;s be honest&hellip;that&rsquo;s probably not why you&rsquo;re getting up to work everyday.
 
 
 
 
 
 We know that rewarding our employees is the best way to make them feel valued. This is a journey we&rsquo;d love you to take with us and as we grow we look forward to finding more ways to reward and thank you for your commitment to our mission. We currently offer the following benefits with more to come in future;
 
 
 
 
 <ul>
 <li>
 25 days holidays in addition to public holidays, carry over flex and festive office closure (a pretty decent annual leave allowance even if we do say so ourselves!)
 </li>
 <li>
 A genuine approach to flexible working - the vast majority of our employees spend at least a day or 2 each week in the office but we&rsquo;re open to making this work for everyone, their personal circumstances and their workloads
 </li>
 <li>
 Enhanced parental leave offerings with 6 months of full salary for the primary caregiver and 1 month for the secondary caregiver
 </li>
 <li>
 We provide premium Private Medical Insurance through Freedom Elite on a Medical History Disregarded (MHD) basis. In plain English: we generally cover pre-existing conditions from day one - a perk that puts your wellbeing first.
 </li>
 <li>
 A yearly salary review for all employees
 </li>
 <li>
 We are proud to support the continuous professional growth of our employees by providing a personal annual learning and development budget and fully covering the costs of professional membership fees and subscriptions relevant to your role
 </li>
 <li>
 Access to MindTools on us
 </li>
 <li>
 Bike to Work Scheme (because it wouldn&rsquo;t be very on brand if we didn&rsquo;t encourage you to think about how your travel affects the environment)
 </li>
 <li>
 Octopus EV Scheme (see above!)
 </li>
 <li>
 A commitment to your wellbeing, with access to our Employee Assistance Programme and complimentary eye tests in partnership with Specsavers
 </li>
 <li>
 As part of our DEI efforts, we are currently in partnership with MotherBoard which enable us to be committed to improving the working lives of parents at Arenko
 </li>
 <li>
 Regular opportunities to blow off some steam engage with our team, including quarterly socials, the big Festive Gathering and the Summer Party. We&rsquo;re also working on our wellness initiatives to support your Physical, social, mental and financial wellbeing.
 </li>
 </ul>
 
 
 
 
 
 Our selection process
 
 
 <ol>
 <li>
 First stage interview with hiring manager
 </li>
 <li>
 Take home technical test
 </li>
 <li>
 Second stage with Senior Data Team
 </li>
 <li>
 Final stage with hiring manager and Head of Trade Products
 </li>
 </ol>
 
 
 
 
 
 Want to join us?
 
 
 
 Here at Arenko, we want every employee and candidate to feel valued, comfortable, and able to be their own free self at work. Together, we are committed to building a diverse and inclusive culture that encourages, supports, and empowers the authentic voices of all our employees. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or any other aspect that makes you unique.
 
 
 
 
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Data Scientist

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