Develop and maintain SentiLink’s fraud detection models through the full model development lifespan.
Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
Research new types of fraud and develop new SentiLink products around identity verification.
SentiLink provides identity and risk solutions, empowering institutions and individuals to transact with confidence. They are backed by world-class investors and have been named to the Forbes Fintech 50 list every year since 2023.
Build and optimize data pipelines and backend services to process device and behavioral data in real time.
Develop and deploy ML models for fraud detection, ensuring they run reliably and efficiently in production.
Turn raw data into production-ready features that feed our fraud detection systems.
Sardine is a leader in fraud prevention and AML compliance. Their platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Over 300 banks, retailers, and fintechs worldwide use Sardine; they have a remote-first work culture, valuing performance over hours and hiring self-motivated individuals.
Design, implement, and maintain the Operational Risk Management Framework in line with BACEN regulations.
Identify, assess, and monitor operational risk exposures, especially in fraud and IT-related processes.
Develop and validate AI/ML models for fraud detection, anomaly identification, and operational risk quantification.
CloudWalk is reshaping the financial ecosystem through technology, innovation, and inclusion. The company utilizes AI and ML tools to build risk management systems, making payments smarter, safer, and more efficient.
Perform comprehensive evaluations of data assets across the full credit and fraud lifecycle, ensuring strong regulatory compliance and risk governance.
Conduct rigorous benchmarking and champion/challenger analyses to compare external data assets against internal attributes, scores, and predictive models, ensuring measurable lift, ROI and benefits.
Develop advanced machine learning solutions and algorithms to solve complex analytical challenges.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. They operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 23,300 people across 32 countries.
Analyze massive customer data sets, come up with actionable insights, and explain how our models perform and how we can help our customers build optimal risk management policies
Act as a Data Science advocate: deeply understand Socure’s solutions (products, models and algorithms) and customers’ risk challenges to educate and influence from a scientific perspective
Create convincing data stories to showcase how we can help our customers eliminate identity fraud, streamline their end-user experience, and support their risk management efforts holistically
Socure is building the identity trust infrastructure for the digital economy, verifying identities in real time and stopping fraud. They hire people who move fast, think critically, act like owners, and care about solving customer problems.
Oversee the design, development, and implementation of scalable scoring models to drive business impact.
Guide and mentor junior data scientists, fostering a culture of innovation and continuous improvement.
Communicate complex technical concepts to non-technical stakeholders, providing actionable insights and driving data-informed decision-making.
Bondora's mission is to empower people to enjoy life more while alleviating financial stress. Founded in 2008, Bondora has served over 1 million customers and is rapidly growing as they pursue a banking license and expand their investment and loan products across Europe.
Analyze fraud and risky user behavior to identify patterns, anomalies, and drivers of losses or customer friction.
Conduct fraud investigations and deep dives into alerts, trends, spikes, and known fraud MOs.
Support rule reviews, tuning, and policy changes by providing data and analysis.
Tilt offers mobile-first products and machine learning-powered credit models to recognize real potential beyond traditional credit scores. They are known as one of the next billion-dollar startups, changing how people access financial products and creating a new credit system.
Define the vision and roadmap for the data function, prioritizing initiatives for maximum business impact.
Build, mentor, and manage a high-performing Data team while coordinating with external agencies until internal resources are established.
Partner with product, engineering, marketing, operations, and leadership to translate business goals into measurable outcomes.
Jobgether is using AI-powered matching process to ensure application is reviewed quickly by identifying the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps are managed by their internal team.
Conduct client discovery calls with account executives.
Meet with clients to discuss fraud strategies to mitigate risk.
Create and deliver presentations aligned to proposed solution value.
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. They are building the future of identity verification in the United States, with offices across the United States and in India, and are backed by world-class investors.
Work with large, messy, and complex data sets using analytical, statistical, ML, and AI approaches.
Collaborate with Data and Analytic Engineers to improve data quality and generate reusable assets.
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product and business strategy.
Weedmaps is a global leader in the cannabis industry, dedicated to transparency, education, and community. Founded in 2008, Weedmaps fosters a bustling and collaborative culture that focuses on the benefits of weed and the community that supports it.
Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
Experian is a global data and technology company powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries and corporate headquarters in Dublin, Ireland.
Deep dive into trends and provide data driven insights to identify risky behavior.
Develop customer and program segmentation frameworks to enable proportionate monitoring.
Create dashboards to monitor performance across relevant metrics and create alerts.
Lithic creates card issuing and payment infrastructure for technology companies. They help some of the world’s fastest-growing digital banks, fintech companies, and software companies process billions in transactions annually.
Lead the research, design, and implementation of end-to-end machine learning solutions.
Own the evaluation and prompt engineering strategy for Large Language Models (LLMs).
Act as a strategic partner to Product and Engineering leaders.
OfferUp is dedicated to creating the simplest and most trusted way for people to buy, sell, and connect in their local communities. OfferUp was founded in 2011 and based in Bellevue, WA, and serves local markets nationwide.
Translate complex business problems into structured analysis.
Build low-latency data pipelines and streaming analytics solutions.
Create interactive live dashboards using leading BI platforms.
Trustonic provides affordable smartphones by offering secure smartphone locking technology. With partnerships across 30+ countries, they enable device financing solutions, driving economic inclusion, profitability, and growth. They value diversity and flexibility, encouraging employees to work where they're most productive.
Design, build, and implement mathematical models to drive key long-term product goals.
Lead projects with hands-on analysis and modeling, drawing from multiple analytical methods.
Use quantitative analysis to deeply understand what our users are saying, and develop recommendations based on that analysis.
The Athletic brings sports fans the most comprehensive stories about the teams, sports, and athletes they love, powered by one of the largest global newsrooms in sports media. Their newsroom of 450+ full-time staff delivers in-depth coverage across North American markets and English Premier League, as well as many Championship clubs.
Partnering with teams across Canva to influence strategic decisions through data.
Designing and analysing A/B tests and other experiments that drive product and business outcomes.
Building data models, dashboards, and tooling that help teams scale insights.
Canva is a design platform that enables users to create a variety of visual content. They have campuses in Sydney and Melbourne, and co-working spaces in other Australian cities. The company fosters a culture where employees are trusted to choose the work arrangement that empowers them and their team.
Act as a trusted business advisor who influences decision-making for the growth team and deeply understands the business, both inside and out
Own the design of dashboards, metrics, and reports, turning data into actionable insights for the growth team, cross functional partners, and the leadership team
Dive into large, complex datasets/logs to turn your findings into scalable data models necessary to facilitate reporting, analytics and ML models
Kraken is building the future of crypto by uniting a world-class team with crypto conviction. As a fully remote company with Krakenites in 70+ countries, they develop premium crypto products for experienced traders, institutions, and newcomers.
Manage the analytics data warehouse to make it scalable and reliable.
Build and scale data catalogs and a semantic layer for the data infrastructure.
Sibill is the accounting and financial operating system for small and medium businesses (SMBs). They integrate invoicing, payments, treasury, and accounting in one modern platform and are backed by top international investors..
Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform
Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
Collaborate with product managers and engineers to define product requirements and translate them into data science solutions
Reddit is a community of communities built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. With 100,000+ active communities and approximately 116 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.