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

Senior Data Scientist, Algorithm (Risk & Fraud)

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

Location

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.

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

What we offer

Offers Equity
Offers Bonus
medical, dental, and vision insurance
a 401(k) plan
short-term and long-term disability
basic life insurance
well-being benefits
20 paid days of vacation
12 paid days of company holidays

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

Rooms Controller

Assign room according to guest request and preferences whenever possible. Pre-re...

Location

United States , Chicago

Salary:

27.84 USD / Hour

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

High school diploma or G.E.D. equivalent
Less than 1-year related work experience

Job Responsibility

Assign room according to guest request and preferences whenever possible
Pre-register designated guests and prepare key packets
Organize and coordinate check-in/pre-registration procedures for arriving groups
Review/Track/Accommodate requests for room/check-out changes when possible
Confirm reservations and cancellations
Review out-of-order rooms daily
Ensure rates match market codes and document exceptions
Verify and adjust billing for guests
File guest paperwork or documentation
Set up/process all guest check-ins/check-outs

Fulltime

Physical Therapist Inpatient

Dynamic inpatient, acute care opportunity at New Mexico's only Level 1 trauma ce...

Location

United States , Albuquerque

Salary:

40.04 - 62.00 USD / Hour

UNM Hospitals

Expiration Date

Until further notice

Requirements

Bachelor's Degree
Related Discipline
CPR for Healthcare/BLS Prov or Prof Rescuers w/in 30 days
NM Physical Therapist License or Temporary License

Job Responsibility

Organize and deliver medically-prescribed physical therapy to restore function and prevent disability following disease, injury or loss of a body part
Ensure adherence to Hospitals and departmental policies and procedures
Patient care assignment may include Neonate, Pediatric, Adolescent, Adult, and Geriatric age groups
Follow patient safety-related policies, procedures and protocols
Enhance professional growth and development through participation in educational programs, reading current literature, attending in-services, meetings and workshops
Demonstrate proactive approach to patient safety by seeking opportunities to improve patient safety through questioning of current policies and processes
Identify and report/correct environmental conditions and/or situations that may put a patient at undue risk
Consult with medical staff on patient care
Report potential or actual patient safety concerns, medical errors and/or near misses in a timely manner
Conduct training for medical, nursing and ancillary personnel in therapy techniques and objectives

What we offer

17% Weekday Nights differential
26% Weekend Nights differential
15% Weekend Day shift differentials
Sign-On Bonus Available
Relocation Assistance Available

Fulltime

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Senior Data Scientist, Algorithm (Risk & Fraud)

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