Senior Data Analyst / Science Job at Randstad (東京23区)

Senior Analyst - Data Science

This role will develop credit loss models for estimating credit reserves for glo...

Location

United States , New York

Salary:

89250.00 - 150250.00 USD / Year

Amex

Expiration Date

Until further notice

Requirements

Fluency with data manipulation tools like Python, PySpark or SQL plus experience in data-driven decision making is strongly preferred
Previous model development experience is desirable
Ability to apply advanced statistical and/or other quantitative techniques to solve business problems
Excellent verbal, written, and interpersonal communication skills are a plus
Ability to work with cross-function teams to solve complex business problems
Advanced quantitative degree is preferred

Job Responsibility

Development of modeling framework to meet the credit reserve standards set by the Financial Accounting and Standards Boards (FASB) and the International Accounting Standards Boards (IASB)
Development and enhancement of loss forecasting models for credit and charge card portfolios
Perform quantitative analysis to evaluate multiple alternatives to generate insights and derive recommendations
Ongoing performance tracking of loss forecasting models and variance analysis of credit reserve levels

What we offer

Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities

Fulltime

Data Science Senior Analyst

The Model/Anlys/Valid Sr Analyst is a seasoned professional role. Applies in-dep...

Location

Mexico , Ciudad De Mexico

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5-8 years experience
Proficient in Microsoft Office with an emphasis on MS Excel
Consistently demonstrates clear and concise written and verbal communication skills
Self-motivated and detail oriented
Demonstrated project management and organizational skills and capability to handle multiple projects at one time
Bachelor’s/University degree or equivalent experience

Job Responsibility

Develops, enhances, and validates the methods of measuring and analyzing risk, for all risk types including market, credit and operational
May develop, validate and strategize uses of scoring models and scoring model related policies
Conducts statistical analysis for risk related projects and data modeling/validation
Applies quantitative and qualitative data analysis methods including SAS programming, Structured Query Language (SQL) to extract, transform and analyze data and Visual Basic programming language
Prepares statistical and non-statistical data exploration, validate data, identify data quality issues
Conducts data analysis, data mining, understand and create formal statistical documentation, reports and work with Technology to address issues
Analyzes and interprets data reports, make recommendations addressing business needs
Uses Predictive modeling methods, Optimizing monitoring systems, document optimization solutions, and present results to non-technical audiences
create formal documentation using statistical vocabulary
Generates statistical models to improve methods of obtaining and evaluating quantitative and qualitative data and identify relationships and trends in data and factors affecting research results

Fulltime

Data Science Senior Lead Analyst

The Data Science Sr Lead Analyst is a strategic professional who closely follows...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

15+ years of relevant experience in Data Analytics, Data Science, or Advanced Analytics roles
Advanced proficiency in SQL and relational database concepts
Strong programming experience in Python (required)
PySpark preferred
Hands-on experience building and deploying machine learning models (supervised and unsupervised)
Experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch
Strong knowledge of statistical modeling, feature engineering, and model validation techniques
Experience with BI tools such as Tableau or Power BI
Familiarity with MLOps practices (model deployment, monitoring, versioning) is strongly preferred
Experience working with large-scale enterprise or financial datasets

Job Responsibility

Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Deliver analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan
Consults with business clients to determine system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
recommends solutions
Leads system change process from requirements through implementation
provides user and operational support of application to business users
Formulates and defines systems scope and goals for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards
Impacts the business directly by ensuring the quality of work provided by self and others

Fulltime

Data Science Senior Analyst-Assistant Vice President

The Data Science Senior Analyst is a seasoned professional role. Applies in-dept...

Location

India , Bengaluru

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5-8 years experience in business and data analysis, process improvement and project management
Ability to effectively use complex analytical, interpretive and problem solving techniques
Demonstrated interpersonal, verbal and written communication skills
Methodical attention to detail
Experience using tools for statistical modeling of large data sets
Bachelor’s/University degree or equivalent experience

Job Responsibility

Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan
Consults with business clients to determine system functional specifications
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
recommends solutions
Leads system change process from requirements through implementation
provides user and operational support of application to business users
Formulates and defines systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards
Impacts the business directly by ensuring the quality of work provided by self and others

Fulltime

Senior Data Quality Analyst, Master Data, Procurement Services

As the Senior Data Quality Analyst for Master Data within PG&E’s Procurement Ser...

Location

United States , Oakland

Salary:

98000.00 - 134000.00 USD / Year

PG&E Corporation

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, MIS, Business Analytics, or related field (or equivalent experience)
5+ years of experience in data quality, master data management (MDM), or data governance roles supporting enterprise data functions
Strong understanding of data quality dimensions such as accuracy, completeness, consistency, validity, and timeliness
Demonstrated experience writing and implementing data quality rules, validations, and thresholds
Experience with data profiling, analytics, and quality reporting tools

Job Responsibility

Define, document, and maintain data quality rules, validation checks, and acceptance criteria for procurement of master data elements (e.g., Service Codes, Vendor IDs, contract terms, material attributes)
Develop and implement scalable data quality frameworks that integrate both preventative and detective controls
Collaborate with business SMEs, data stewards, and IT partners to set thresholds, standards, and KPIs for data quality measurement
Design and operationalize data quality dashboards and reports to monitor data health, trends, and compliance against standards
Collect, analyze, and present data quality metrics and insights to leadership and stakeholders, identify patterns, risks, and opportunities for improvement
Track and escalate data issues using structured issue tracking and remediation workflows
Perform regular data profiling, completeness checks, and anomaly detection to validate data quality against business rules and governance standards
Conduct root cause analysis to identify systemic issues and propose corrective actions with process owners and technology teams
Support and enforce data governance policies and master data standards across procurement systems, ensuring alignment to enterprise frameworks
Participate in governance forums and working groups to formalize stewardship roles, responsibilities, and data quality accountability

What we offer

eligible to participate in PG&E’s discretionary incentive compensation programs

Fulltime