Senior Data Scientist, Algorithm (Risk & Fraud) Job at Airwallex

Senior Data Scientist, Algorithm (Risk & Fraud)

As a Staff Machine Learning engineer, you will tackle challenging machine learni...

Location

Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

At least 8+ years experienced with common ML libraries, such as scikit-learn, TensorFlow, PyTorch, Keras, etc.
Bachelor’s or above degree in Computer Science, Engineering, or a related technical field
Proficient in coding language such as Python and SQL
Experience in payment risk or international e-commerce risk is a plus
Experience in applying LLMs to real-time risk management is a plus

Job Responsibility

Analyze business requirements and translate them into machine learning problems
Work on data engineering, feature engineering, model training, and deployment
Identify issues and propose effective solutions through regular analysis
Develop machine learning platforms and tools to streamline ML workflows at Airwallex
Collaborate with cross-functional teams to apply models that solve business problems

Fulltime

Senior Risk & Fraud Data Scientist, Algorithm

As a Senior Machine Learning engineer, you will tackle challenging machine learn...

Location

Singapore , Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

At least 3+ years experienced with common ML libraries, such as scikit-learn, TensorFlow, PyTorch, Keras, etc.
Bachelor’s or above degree in Computer Science, Engineering, or a related technical field.
Proficient in coding language such as Python and SQL.
Experience in payment risk or international e-commerce risk is a plus.
Experience in applying LLMs to real-time risk management is a plus.

Job Responsibility

Analyze business requirements and translate them into machine learning problems
Work on data engineering, feature engineering, model training, and deployment
Identify issues and propose effective solutions through regular analysis
Develop machine learning platforms and tools to streamline ML workflows at Airwallex
Collaborate with cross-functional teams to apply models that solve business problems

Fulltime

Staff Data Scientist (Fraud, Risk)

Uber is looking for an experienced and motivated Scientist to join our Global Sa...

Location

Brazil , Sao Paulo

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

Senior and/or Staff seniority working as a Data Scientist, Applied Scientist, or Machine Learning Engineer
Experience building and deploying Binary Classification systems in production for large-scale, high-stakes applications (e.g., Fraud, Safety, or Risk)
Deep experience in Experimental Design beyond classical A/B testing, including Quasi-experiments (Diff-in-Diff, Synthetic Control) or Marketplace experiments (Switchbacks)
Expertise in handling Extreme Class Imbalance and optimizing models for rare event detection
Experience using Python and SQL to work with massive, high-dimensional data sets at scale
Solid foundation in Statistical Methodologies such as probability calibration, sampling, and hypothesis testing

Job Responsibility

Conduct thorough analyses of large, imbalanced datasets to identify trends, patterns, and opportunities for improving safety incident detection
Design, implement, and optimize binary classification models and algorithms to predict the probability of high-severity incidents
Generate actionable insights from risk data and communicate findings to stakeholders, balancing safety interventions with marketplace growth
Work as a thought expert for your cross-functional partners (Product, Ops, and Engineering), pushing the boundaries of how Uber defines and mitigates risk
Design complex experiments (Diff-in-Diff, Synthetic Controls) and interpret results to draw impactful conclusions in a marketplace environment where classical A/B testing is often not feasible
Define how your cross-functional team measures success by developing Safety & Risk metrics (e.g., Recall, Precision-Recall AUC, Probability Calibration) in partnership with global stakeholders
Stay current with the latest advancements in Supervised Learning, Causal Inference, and Anomaly Detection

Fulltime

Senior Applied Scientist

Zalando Payments is looking for a Senior Applied Scientist to help us further de...

Location

Germany , Berlin

Salary:

Not provided

Zalando Lounge

Expiration Date

Until further notice

Requirements

You are experienced in productionizing ML algorithms, including data collection, model development, deployment, and monitoring
You are familiar with payments (wider fintech), risk, or fraud domain
You enjoy researching new ML methods that could improve model performance
You are interested in collaborating with different functional areas (operations, internal tool developers) to drive business outcomes
You think finding the “why” in datasets is the most interesting part of your job
You think about how to tackle experiments but also how to put those findings into production and generate value
You are coming from an analytics background, e.g. A/B testing, SQL

Job Responsibility

participate in the full ML lifecycle: data deep dives and gaining insights
and model creation, deployment, and monitoring
drive innovation and improve models through research, design and development of new ML features to create measurable business impact
develop and maintain scalable ML pipelines
make a substantial financial impact on Zalando’s business
engage with the wider applied science community at Zalando

What we offer

Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
2 paid volunteering days per year
Work from abroad for up to 30 working days a year
27 days of vacation a year to start for full-time employees
Family services, including counseling and support
Health and wellbeing options (including Wellhub, formerly Gympass)
Mental health support and coaching available
Drive your development through our training platform and biannual peer-to-peer review

Fulltime

Senior Applied Scientist

Zalando Payments is looking for a Senior Applied Scientist to help us further de...

Location

Germany , Berlin

Salary:

Not provided

Zalando Sverige

Expiration Date

Until further notice

Requirements

experienced in productionizing ML algorithms, including data collection, model development, deployment, and monitoring
familiar with payments (wider fintech), risk, or fraud domain
enjoys researching new ML methods
interested in collaborating with different functional areas
thinks finding the "why" in datasets is the most interesting part of your job
thinks about how to tackle experiments and put findings into production
coming from an analytics background, e.g. A/B testing, SQL

Job Responsibility

participate in the full ML lifecycle: data deep dives and gaining insights
model creation, deployment, and monitoring
drive innovation and improve models through research, design and development of new ML features
develop and maintain scalable ML pipelines
make a substantial financial impact on Zalando's business
engage with the wider applied science community at Zalando

What we offer

Employee shares program
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
2 paid volunteering days per year
Work from abroad for up to 30 working days a year
27 days of vacation a year to start for full-time employees
Family services, including counseling and support
Health and wellbeing options (including Wellhub, formerly Gympass)
Mental health support and coaching available
Drive your development through our training platform and biannual peer-to-peer review

Fulltime

Senior VP - Data Science & Modelling

Citi Analytics & Information Management (AIM) team is a global community that ob...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Minimum 15+ years of analytics experience in core model development using ML/AI/Gen AI techniques
Sound knowledge of model development stages and industry best practices in real time deployment with good understanding of pros and cons of different modelling techniques
Strong understanding of current state of the art ML/AI/Gen AI algorithms and Generative AI
Strong coding skill with experience in Bigdata environments
Strong knowledge of the pros, cons, and usage of various ML / DL applications (such as Keras, TensorFlow, Python Scikit, etc.)
Strong knowledge of Python, SQL, and Big Data
Bachelor’s degree in finance/engineering/quantitative Fields (Statistics, Mathematics)/MBA. Master’s degree preferred
Model execution and governance experience in any domain will be preferable
Proficient in proactive risk mitigation, manage project pipeline to ensure prioritization and required resourcing mix
At least 8 years of people management experience

Job Responsibility

Lead a team of data scientists responsible for working on various tools and technologies for successful development and implementation of Machine learning (ML) /AI/Gen AI models on different platforms
Mitigate fraud losses by designing and developing NextGen advanced intelligent AI or ML based platform
Analyze transaction data, understand fraud pattern, develop models with the objective of overall business goal of minimizing fraud losses as well as minimizing customer impact
Collaborate with model implementation team, responsible for model documentation, justifying questions from model risk management (MRM)
Lead and manage the entire modelling function within AIM Financial Crimes and Fraud Prevention Analytics, recruit staff, lead professional development and build an effective high performing team
Work as SME in the area of ML/Generative AI
Articulate complex AI and ML concepts in a clear manner to diverse audiences including business partners and peers
Stay abreast of the latest advancements, trends and research in AI and ML space
Provide technical leadership, mentorship, and guidance to a team of model developers
Ensuring 100% execution accuracy

Fulltime

Sr. Accountant

We are looking for an experienced Sr. Accountant to join a contract opportunity ...

Location

United States , Napa

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Reconcile bank accounts and balance sheet accounts while addressing a twelve-month backlog of unresolved activity
Review and refine general ledger records to improve accuracy, consistency, and overall financial integrity
Investigate mismatches, unsupported balances, and other accounting issues, then drive them through resolution
Assist in preparing the organization for year-end close by organizing schedules, validating balances, and supporting closing activities
Partner with team members responsible for accounts payable, accounts receivable, payroll, and related processes to align accounting records
Post and review journal entries as needed to ensure transactions are properly recorded
Establish practical accounting structure and recommend improvements that increase efficiency and reduce recurring errors
Demonstrated success with account reconciliations, including bank reconciliations and balance sheet review
Strong background in general ledger cleanup and correcting incomplete or disorganized financial records
Experience supporting month-end and year-end close activities in a detail-focused accounting environment

Job Responsibility

Reconcile bank accounts and balance sheet accounts while addressing a twelve-month backlog of unresolved activity
Review and refine general ledger records to improve accuracy, consistency, and overall financial integrity
Investigate mismatches, unsupported balances, and other accounting issues, then drive them through resolution
Assist in preparing the organization for year-end close by organizing schedules, validating balances, and supporting closing activities
Partner with team members responsible for accounts payable, accounts receivable, payroll, and related processes to align accounting records
Post and review journal entries as needed to ensure transactions are properly recorded
Establish practical accounting structure and recommend improvements that increase efficiency and reduce recurring errors

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Legal Specialist

The Team: The Legal team partners with every Hermès department to support their ...

Location

United States , Manhattan

Salary:

70000.00 - 75000.00 USD / Year

Assessfirst

Expiration Date

Until further notice

Requirements

2+ years paralegal or other experience working in an in-house legal department or mid-size/small size NYC law firm
BA Degree or equivalent
Fluency in Spanish and/or French a plus
Excellent written and verbal communication skills & research skills
Excellent interpersonal skills, with the ability to develop collaborative relationships at all levels and departments
Demonstrated ability to use Microsoft applications (Excel, Word, PowerPoint)
Proven ability in managing multiple projects and competing priorities while balancing needs for quality and deadlines
Must possess sound judgement and critical thinking skills, ability to deliver on variety of tasks in fast-paced environment
High degree of professionalism
Must handle confidential matters with utmost discretion

Job Responsibility

Review and mark up contacts
Prepare track litigation and contract obligations and important dates
Manage and onboard Landlord and other vendors into payment system
Oversee negotiation, signature and filing of non-disclosure agreements
Manage internal compliance documents and update as needed
Manage and maintain legal forms database and update as needed
Create, edit, revise, proofread and redline documents (including legal contracts, agreements, letters, and other legal correspondence)
Oversee subpoenas and other legal process received by company and coordinate response with business teams
Assist in the development of other legal projects, programs, and procedures aimed at realizing strategic goals for efficient functioning of legal department
On-line legal research and tracking new Federal and State legislation as needed

What we offer

Commission and bonus incentives based on sales performance
Medical, Dental, Vision
Life Insurance and Disability
Paid time off (annual vacation of 15 days, 11 company holidays, 3 floating holidays, 2 wellbeing days, and sick & safe time)
Paid Parental leave and transition time
401(k) and Roth Retirement plan with company matching and profit sharing
Various voluntary benefits such as flexible spending accounts, fitness reimbursement, voluntary life insurance
Product discount and EAP resources
Access to Calm App, Health Advocate, Family Building Support and more

Fulltime

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Senior Data Scientist, Algorithm (Risk & Fraud)

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