quantitative analyst

Prima

<div>Are you looking for a new challenge?

Fancy helping us shape the future of motor insurance?

Prima could be the place for you.

Since 2015, we&rsquo;ve been using our love of data and tech to rethink motor insurance and bring drivers a great experience at a great price. Our story began in Italy, where we&rsquo;ve quickly become the number one online motor insurance provider. In fact, we&rsquo;re trusted by over 5 million drivers. And now we&rsquo;re expanding to help millions more drivers in the UK and Spain. 
<div></div> 
<div>To help fuel that growth, we&rsquo;re looking for Data Scientists to join our Pricing &amp; Underwriting Department, the strategic engine behind Prima's growth.</div>
<div></div>
<div>As part of this global team, you&rsquo;ll play a pivotal role in shaping our strategy and strengthening our competitive edge. Using data, analytical thinking, machine learning and business acumen, you&rsquo;ll help predict the future and set the right prices, keeping our offering both attractive and sustainable. You&rsquo;ll work with your data science tools and skills to bring real-world impact, collaborating with cross-functional teams to turn insights into action and fuel innovation across the company and its different branches.</div>
<div></div>
<h3 class="jobSectionHeader">Excited to make an impact? Here are the details.</h3>
<h3 class="jobSectionHeader">What you&rsquo;ll do</h3><div>
<ul><li>Leverage data to identify risks, opportunities and key pricing drivers, turning complex information into actionable insights that influence strategic decision making;</li>
<li>Leverage Machine Learning and advanced analytics to develop risk and pricing models that power real-time insurance pricing for millions of customers;</li>
<li>Contribute directly to the company&rsquo;s growth and long-term success through innovative modelling, experimentation and commercially impactful insights.</li>
</ul>
</div><div></div><h3 class="jobSectionHeader">What we&rsquo;re looking for</h3><div>
<ul><li>Strong academic background in Mathematics, Physics, Engineering (Maths, Physics and Computer Science specialisations), Data Science, Computer Science or Statistics;</li>
<li>Strong quantitative, logical and analytical abilities, a solid foundation in statistics, probability and advanced analytics, and a curious, proactive and innovative mindset focused on solving complex problems;</li>
<li>Fluency in English, both spoken and written.</li>
</ul>
</div><div></div><h3 class="jobSectionHeader">Nice-to-Have</h3><div>
<ul><li>Strong communication skills, with the ability to challenge assumptions, and drive new ideas;</li>
<li>Possess a solid foundation in code development and machine learning, ideally in Python;</li>
<li>Know how to create, manipulate and analyse large datasets.</li>
</ul>
</div><div></div><div>Please note: this is the same position as the one referred as &ldquo;Data Scientist&rdquo; on our career site, posted with different job titles to reach STEM students and graduates who might not know a Data Scientist role suits them.</div>
<h3 class="jobSectionHeader">Why you'll love it here</h3>

We want to make Prima a happy and empowering place to work. So if you decide to join us, you can expect plenty of perks.

Competitive compensation: Benefit from competitive salaries, starting from &pound;80k up to &pound;160k, with clear opportunities to grow as you do.

Work Your Way: Enjoy full flexibility &ndash; work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year.<div></div> 
\uD83C\uDFC1 Grow with us: We may move fast at Prima, but we move together. Get access to learning resources, mentorship and a growth plan tailored to you.

\uD83C\uDF08 Thrive and perform: Your best work begins when you feel your best. Enjoy private healthcare, gym discounts, wellbeing programs and mental health support.

Think you&rsquo;re a match? Apply now. 


At Prima, we celebrate uniqueness. If you don&rsquo;t meet every requirement but are passionate about this role, we still want to hear from you. Innovation thrives on diverse perspectives.

Prima is proud to be an equal opportunity employer. Need accommodations during the process? Email us at accessible.recruiting@prima.it. Let&rsquo;s build the future of insurance, together.</div>

Quantitative Analyst (Math, Physics & Engineering degrees)

Bank of America

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

Quant Developer â€“ Quantitative Strategies & Data Group

Wise

<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

Wise Australia Investments

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

iwoca

<div>
 Data Scientist - Acquisition Technology
 
 
 Hybrid in London, United Kingdom
 
 
 
 The Company
 
 
 
 Small businesses move fast. Opportunities often don&rsquo;t wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that&rsquo;s as flexible and responsive as they are.
 
 
 That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed.
 
 
 We&rsquo;ve already cleared the way for 100,000 businesses with more than &pound;4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive.
 
 
 
 The function
 
 
 
 iwoca's Data Scientists specialise in supervised machine learning, statistical inference and exploratory data analysis, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations, using medium-sized datasets.
 
 
 
 The team
 
 
 
 The DE Acquisition Tech team sits at the heart of iwoca&rsquo;s growth strategy. Its mission is to help Marketing and Sales reach and engage small businesses of every kind, showing how our finance can empower their ambitions. The team enables smarter, data-driven decision-making across paid and organic channels as well as direct sales. By embedding engineers, product managers, designers, and data scientists together, the team acts as a self-sufficient unit, shaping strategies that deliver measurable commercial impact.
 
 
 
 The role
 
 
 
 As a Data Scientist in the DE Acquisition Tech team, you&rsquo;ll shape how iwoca grows. You&rsquo;ll design and evaluate experiments, build statistical and predictive models, and turn complex data into clear insights. You&rsquo;ll own projects end to end while working closely with stakeholders to align your work with business goals. The models and insights you deliver will directly influence how we invest in sales and marketing, giving you visibility across the company and impact on customer acquisition.
 
 
 
 The projects
 
 
 
 You&rsquo;ll shape projects that:
 
 
 <ul>
 <li>
 Run controlled experiments across paid and organic channels, generating evidence on what drives conversions.
 </li>
 <li>
 Build and refine frameworks for Paid Search and Paid Social, enabling smarter bidding and more effective performance.
 </li>
 <li>
 Develop statistical attribution models to give clear insight into channel impact.
 </li>
 <li>
 Design predictive lead scoring models that help target valuable prospects more effectively.
 
 
 </li>
 </ul>
 
 The Requirements
 
 
 
 Essential:
 
 
 <ul>
 <li>
 Expertise in probability and statistics, gained through a quantitative field such as Mathematics, Physics, Statistics or similar.
 </li>
 <li>
 Ability to understand business context and translate data into actionable insights that guide decisions.
 </li>
 <li>
 Proficiency with data manipulation and modelling tools such as pandas, statsmodels or R.
 </li>
 <li>
 Experience with scientific computing tools such as NumPy, SciPy, R, Matlab, Mathematica or BLAS.
 </li>
 <li>
 Ability to work autonomously and manage projects end to end, from framing the question to delivering outcomes.
 </li>
 <li>
 Ability to communicate clearly in writing and speech, adapting technical detail to suit different audiences.
 </li>
 <li>
 A commitment to using modern tools effectively &ndash; including AI &ndash; to maximise quality, speed, and rigour, while retaining responsibility for accuracy and outcomes.
 
 
 </li>
 </ul>
 Bonus:
 
 
 <ul>
 <li>
 Understanding of Bayesian statistics, including experience or interest in applying hierarchical Bayesian models.
 </li>
 <li>
 Experience building machine learning models from scratch, including creating custom optimisers.
 </li>
 <li>
 Knowledge of stochastic processes and related mathematical techniques.
 </li>
 <li>
 Experience working with Python, our primary programming language.
 </li>
 <li>
 Understanding of financial concepts such as deterministic cash flows.
 
 
 </li>
 </ul>
 
 The salary
 
 
 
 We expect to pay from &pound;60,000 - &pound;90,000 for this role. But, we&rsquo;re open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance reviews.
 
 
 
 The culture
 
 
 
 At iwoca, we prioritise a culture of learning, growth, and support, and invest in the development of our team members. We value thought and skill diversity, and encourage people to explore new areas of interest, adopt better tools (including AI), and apply sound judgement so our products and decisions improve over time.
 
 
 
 The offices
 
 
 
 We put a lot of effort into making iwoca a great place to work:
 
 
 <ul>
 <li>
 Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks.
 </li>
 <li>
 Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions.
 
 
 </li>
 </ul>
 
 The Benefits
 
 
 
 <ul>
 <li>
 Flexible working hours.
 </li>
 <li>
 Medical insurance from Vitality, including discounted gym membership.
 </li>
 <li>
 A private GP service (separate from Vitality) for you, your partner, and your dependents.
 </li>
 <li>
 25 days&rsquo; holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave.
 </li>
 <li>
 A one-month, fully paid sabbatical after four years.
 </li>
 <li>
 Instant access to external counselling and therapy sessions for team members that need emotional or mental health support.
 </li>
 <li>
 3% Pension contributions on total earnings.
 </li>
 <li>
 An employee equity incentive scheme.
 </li>
 <li>
 Generous parental leave and a nursery tax benefit scheme to help you save money.
 </li>
 <li>
 Electric car scheme and cycle to work scheme.
 </li>
 <li>
 Two company retreats a year: we&rsquo;ve been to France, Italy, Spain, and further afield.
 
 
 </li>
 </ul>
 And to make sure we all keep learning, we offer:
 
 
 <ul>
 <li>
 A learning and development budget for everyone.
 </li>
 <li>
 Company-wide talks with internal and external speakers.
 </li>
 <li>
 Access to learning platforms like Treehouse.
 
 
 </li>
 </ul>
 Useful links:
 
 
 <ul>
 <li>
 iwoca benefits &amp; policies
 </li>
 <li>
 Interview welcome pack
 
 
 </li>
 </ul>
 Compensation Range: &pound;60K - &pound;90K
</div>

Data Scientist - Acquisition Tech Team

<div>
 
 
 About CRU:
 
 
 
 CRU International is a leading provider of business intelligence and consulting services in the metals, mining, and fertilizer industries. With over 50 years of experience, we offer valuable insights and analysis that help our clients make informed decisions in an ever-changing global market.
 
 
 
 
 
 
 About the role:
 
 
 
 CRU Group is seeking a technically strong, hands-on Senior Data Scientist to join a global team focused on building real-world data science and AI solutions for Risk &amp; Trading workflows. This role will span predictive modelling, machine learning, and modern AI systems powered by large language models.
 
 
 This is an opportunity to own projects end-to-end, from problem framing through to production delivery, working closely with stakeholders, engineers, and technology teams to deliver scalable, product-grade solutions.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Build and deliver solutions across predictive analytics, machine learning, and LLM-based AI.
 </li>
 <li>
 Design, develop, and implement bespoke ML and AI agents and multi-step workflows using modern frameworks such as LangChain, LangGraph, or similar technologies.
 </li>
 <li>
 Develop robust, scalable, production-grade Python code.
 </li>
 <li>
 Partner with senior stakeholders to translate business needs into clear technical requirements and measurable outcomes.
 </li>
 <li>
 Own delivery end-to-end, including problem framing, data discovery, model development, evaluation, integration, deployment, monitoring, and iteration.
 </li>
 <li>
 Collaborate with global teams of analysts, product managers, product modellers, and engineers to deliver high-quality, reliable solutions.
 </li>
 <li>
 Mentor team members and contribute to raising standards for technical execution and delivery discipline.
 </li>
 <li>
 Stay current with developments in machine learning, statistical learning, generative AI, LLMs, and agentic workflows, and identify practical opportunities to apply these technologies within risk and trading services.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 MSc or higher in a quantitative discipline such as econometrics, statistics, mathematics, physics, or similar.
 </li>
 <li>
 Expert-level Python skills and strong command of the core scientific stack, including Pandas, Scikit-learn, SciPy, and NumPy.
 </li>
 </ul>
 
 
 
 
 
 Skills &amp; Experience:
 
 
 <ul>
 <li>
 3&ndash;5+ years of experience in data science, machine learning, econometrics, or a related technical field.
 </li>
 <li>
 Proven track record of independently delivering solutions, including model design, training, evaluation, deployment, and monitoring.
 </li>
 <li>
 Strong exposure to time-series forecasting or commodity data.
 </li>
 <li>
 Creative thinker with a robust approach to data and modelling.
 </li>
 <li>
 Hands-on experience working with machine learning and LLMs.
 </li>
 <li>
 Hands-on experience building AI applications beyond simple chatbot interfaces.
 </li>
 <li>
 Goal-oriented, with a high level of energy and enthusiasm; able to operate efficiently, effectively, and professionally in a fast-paced, dynamic, results-driven business environment.
 </li>
 <li>
 Analytical mindset with the ability to quickly understand the intricacies and complexities of commodity data.
 </li>
 <li>
 Creative application of first principles to problems, with an awareness of business time constraints.
 </li>
 <li>
 Approachable, positive, and collaborative, with a genuine interest in developing the team to be the best in the industry.
 </li>
 <li>
 Lead by example in work ethic and commitment to exceeding client expectations.
 </li>
 <li>
 Strong commitment to sharing knowledge and ideas in a constructive and supportive way, with the ability to mentor more junior talent.
 </li>
 <li>
 Delivery-focused, with a passion for quality and innovation, and a flexible, adaptable attitude willing to accept and drive change.
 </li>
 <li>
 Familiarity with Snowflake, AWS, and GCP, or equivalent cloud infrastructure.
 </li>
 <li>
 Strong understanding of modern machine learning workflows and production deployment considerations, including orchestration tools.
 </li>
 </ul>
 
 
 
 
 
 What We Offer:
 
 
 <ul>
 <li>
 Competitive salary and flexible benefits package.
 </li>
 <li>
 Opportunities for professional growth and development as part of a global company.
 </li>
 <li>
 A collaborative and supportive work environment.
 </li>
 <li>
 The chance to work with industry-leading experts and over a diverse range of topics and projects
 </li>
 </ul>
</div>

Senior Data Scientist - GenAI & ML

PayPal

<div>
 
 The Company
 
 
 PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
 
 
 We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
 
 
 We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
 
 
 Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.
 
 
 
 Job Summary:
 
 
 
 As PayPal continues its mission to revolutionize commerce, we are seeking a Senior Data Scientist to join our Consumer Portfolio Growth team. In this role, you will help drive profitable growth across our consumer product portfolio by transforming complex data into actionable insights that inform strategic decisions and deliver measurable business impact.
 
 
 This is an opportunity for a business-oriented data scientist who combines strong technical expertise with sound business judgment. You will partner closely with cross-functional stakeholders, apply advanced analytical methods to challenging business problems, and help shape decisions that drive growth, engagement, and long-term customer value. If this introduction sparks your interest, keep reading &mdash; the best is yet to come!
 
 
 
 Job Description:
 
 
 
 
 Essential Responsibilities:
 
 
 
 <ul>
 <li>
 Lead the development and implementation of advanced data science models.
 </li>
 <li>
 Collaborate with stakeholders to understand requirements.
 </li>
 <li>
 Drive best practices in data science.
 </li>
 <li>
 Ensure data quality and integrity in all processes.
 </li>
 <li>
 Mentor and guide junior data scientists.
 </li>
 <li>
 Stay updated with the latest trends in data science.
 
 
 </li>
 </ul>
 
 Minimum Qualifications:
 
 
 
 <ul>
 <li>
 3+ years relevant experience and a Bachelor&rsquo;s degree OR Any equivalent combination of education and experience.
 
 
 </li>
 </ul>
 
 Additional Responsibilities &amp; Preferred Qualifications:
 
 
 
 
 Meet Our Team
 
 
 
 Our Consumer Portfolio Growth team sits at the intersection of data science and commercial strategy. We focus on understanding how consumers engage across PayPal&rsquo;s full product suite &mdash; spanning PayPal P2P, Checkout, Credit, Debit, and more &mdash; and identifying where the greatest untapped growth opportunities lie.
 
 
 The team drives business outcomes through advanced analytics, customer segmentation, funnel analysis, experimentation, and causal inference. We are a close-knit group of intellectually curious, technically rigorous data scientists who take pride in delivering clear narratives to senior leadership and measurable business impact.
 
 
 
 Your Way to Impact
 
 
 
 In this role, you will help drive profitable growth across PayPal&rsquo;s consumer product portfolio by transforming data into actionable insights that influence strategic decisions. Your work will directly shape business performance by delivering rigorous analyses, scalable data science solutions, and recommendations that help teams make better decisions and create lasting value for our customers.
 
 
 
 Your Day to Day
 
 
 
 <ul>
 <li>
 Lead deep-dive analyses that uncover the drivers behind business performance, diagnose unexpected trends, challenge assumptions, and identify new growth opportunities.
 </li>
 <li>
 Apply sophisticated quantitative methods&mdash;including machine learning, causal inference, synthetic controls, difference-in-differences, and propensity score matching&mdash;to answer complex business questions with statistical rigor.
 </li>
 <li>
 Build and evolve customer segmentation frameworks that reveal behaviorally distinct consumer cohorts and translate those insights into targeted growth strategies.
 </li>
 <li>
 Analyze how consumer behavior evolves across PayPal&rsquo;s product ecosystem, quantifying the impact of cross-product engagement on activation, retention, monetization, and customer value.
 </li>
 <li>
 Monitor key consumer funnel metrics across products, customer segments, and geographies, identifying trends, risks, and growth opportunities.
 </li>
 <li>
 Develop business cases and opportunity-sizing analyses to support growth initiatives and strategic investments.
 </li>
 <li>
 Lead analytical projects from problem definition through recommendation, ensuring insights are actionable, timely, and aligned with business priorities.
 </li>
 <li>
 Partner closely with Product, Commercial, Marketing, and Finance teams to inform decision-making and influence strategy.
 </li>
 <li>
 Serve as a trusted analytical partner to stakeholders by translating complex analyses into clear, actionable recommendations.
 </li>
 <li>
 Leverage AI-assisted tools and modern analytical workflows&mdash;including LLM-based technologies such as Claude, Claude Code, ChatGPT, or similar platforms&mdash;to accelerate analysis, automate recurring workflows, and scale insight delivery.
 
 
 </li>
 </ul>
 
 What You Need To Succeed
 
 
 The ideal candidate combines strong analytical and modelling capabilities with hands-on expertise in SQL, statistics, and data visualization.
 
 
 <ul>
 <li>
 Data-driven mindset with a degree in a quantitative discipline such as Engineering, Computer Science, Economics, Statistics, or Mathematics.
 </li>
 <li>
 Significant experience in data science, analytics, economics, statistics, or a related quantitative field, including hands-on experience analyzing large and complex datasets.
 </li>
 <li>
 Advanced expertise in SQL and Python, with experience building scalable analytical solutions and applying statistical methods to real-world business problems.
 </li>
 <li>
 Demonstrated experience applying advanced analytical methods&mdash;including machine learning, causal inference, synthetic controls, or difference-in-differences&mdash;in a business context.
 </li>
 <li>
 Experience developing and deploying analytical models in research and production environments.
 </li>
 <li>
 Experience presenting findings and recommendations to business stakeholders, including senior leaders.
 </li>
 <li>
 Proficiency in visualization and reporting tools such as Tableau or Looker, with the ability to produce executive-ready presentations.
 </li>
 <li>
 Strong written and verbal communication skills, with the ability to tailor messages to both technical and non-technical audiences.
 </li>
 <li>
 Ability to work proactively and independently in a fast-paced environment, managing competing priorities and bringing structure to complex business challenges.
 
 
 </li>
 </ul>
 
 The Traits to Exceed
 
 
 
 You are proactive, intellectually curious, and enjoy solving complex business problems while continuously learning and improving. As part of a broader Consumer Analytics organization, you will partner closely with cross-functional stakeholders across Product, Commercial, Marketing, Finance, and Engineering, making strong collaboration, communication, and influencing skills essential for success.
 
 
 We are especially looking for candidates who:
 
 
 <ul>
 <li>
 Are comfortable working in evolving and ambiguous environments, bringing clarity to complex business challenges.
 </li>
 <li>
 Demonstrate intellectual curiosity and consistently go beyond the immediate question to uncover the insight that matters most.
 </li>
 <li>
 Have a track record of translating rigorous analytical work into measurable business outcomes.
 </li>
 <li>
 Embrace modern AI-enabled ways of working, using LLMs and intelligent automation tools to improve productivity and scale impact.
 </li>
 <li>
 Communicate complex ideas clearly and confidently to audiences at all levels of the organization.
 
 
 </li>
 </ul>
 
 We Believe in You
 
 
 
 Interested? Don&rsquo;t hesitate to apply and let's talk &mdash; we&rsquo;d love to get to know you!
 
 
 _
 
 
 
 Subsidiary:
 
 
 
 PayPal
 
 
 
 Travel Percent:
 
 
 
 0
 
 
 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
 
 
 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
 
 
 
 Our Benefits:
 
 
 
 At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing&mdash;physical, emotional, and financial&mdash;delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.
 
 
 
 Who We Are:
 
 
 
 Click Here to learn more about our culture and community.
 
 
 
 Commitment to Diversity and Inclusion
 
 
 
 PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
 
 
 
 Belonging at PayPal:
 
 
 
 Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
 
 
 Any general requests for consideration of your skills, please Join our Talent Community.
 
 
 We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.
</div>

Senior Data Scientist

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