Statistical Research Analyst Job at MUSC Health (Charleston)

In-Business QA, Business Risk Statistical Analyst

This position involves executing Quality Assurance Reviews (QARs) within the Ins...

Location

India , Mumbai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

8+ years relevant work experience in Risk & Control function focusing on Wholesale Credit Risk
strong knowledge of Counterparty Credit Risk
deep understanding of control framework in banks
experience in BCBS 239 is highly desirable
Python is essential
familiarity with Tableau, SQL, MS Excel is an advantage
consistently demonstrates clear and concise written and verbal communication skills
effective organizational influencing skills required
excellent problem-solving capabilities and high attention to critical details
demonstrated ability to develop and implement strategy and process improvement initiatives

Job Responsibility

Support In-Business Quality Assurance Head of Data Analytics to set global strategy and lead implementation of a robust Data analytics and testing program for Wholesale Credit Risk data governance
provide effective challenge on data and credit process design and operation, and report identified gaps
query and clean complex datasets from multiple sources for advanced statistical analysis
design, assess, prototype, and document scalable data science solutions
perform operational effectiveness assessments for business processes with focus on Credit Underwriting, Counterparty Credit Risk, and Collateral Management
lead Quality Assurance Reviews covering Data aspects
read and understand policies, standards, and procedures for business processes in scope
lead data discovery to identify data lineage and controls
evaluate findings, determine materiality, and drive sustainable remediation
derive concrete insights from data

What we offer

Access to telehealth options
health advocates and confidential counseling
generous paid time off packages
programs for employee work-life balance.

Fulltime

Quantitative Research Analyst

Members of the Risk team are responsible for designing, implementing and monitor...

Location

India , Bangalore

Salary:

Not provided

Clear Street

Expiration Date

Until further notice

Requirements

At least 5 years of professional experience working in quantitative analytical roles, ideally in financial service markets
An advanced degree in quantitative finance, economics, statistics, applied mathematics, engineering or similar field
At least 3 years of professional experience and proficiency in scripting language, such as Python or R (at least one is required)
functional knowledge of SQL is beneficial
Outstanding quantitative skills
Some combination of Equities, Fixed Income, Swaps, Futures or Listed derivatives knowledge required
Demonstrated interest and knowledge of markets and ability to assess impact of macro trends on client portfolios
Excellent written, presentation and communication skills
Ability to balance multiple projects and deliverables simultaneously
Curiosity and strong problem-solving abilities

Job Responsibility

Perform complex risk analysis of multi-asset portfolios to assess market and liquidity risks
Become a SME in the start of day, intraday and end of day risk management platform and process
Validate and support daily risk management reports and margin calls
Explain margin methodologies and the risk management process on sales calls with prospective and existing clients
Work closely and effectively with Sales, Trading, Middle Office, Client Service, Compliance, Legal, Operations and Engineering teams on implementation and deployment of enhancements to margin methodology, process and policy as well as to enhance the existing risk management platforms and margin offering
Work in conjunction with Treasury team to access and monitor liquidity stresses
Collaborate with Quantitative teams in designing and implementing of stress based risk models
Analyze significant datasets, develop and leverage tools to automate workflows, synthesize reports to communicate with senior management, clients and regulator
Leverage information from a variety of sources, internal and external, to help shape future service offerings
Assist with training and knowledge transfer for other team members to help build a stronger group

Fraud Intelligence Research Analyst

We are expanding our Fraud Intelligence Unit and need passionate fraud fighters ...

Location

United Kingdom

Salary:

Not provided

BioCatch

Expiration Date

Until further notice

Requirements

A bachelor’s/master’s degree in a STEM field and/or self-directed technology-focused education in programming for data analytics, with a passion for fighting fraud
Understanding of statistical modelling techniques
Experience with SQL to an intermediate/advanced level
Experience with Python and/or R (advantageous)
Experience working with financial institutions’ fraud departments preferred
Strong written and verbal presentation skills
Good communications and teamwork
Self and a quick learner
Second/third languages preferred

Job Responsibility

Analyze BioCatch data on a global and regional level
Conduct research and analysis of data from external sources
Identify fraud trends and data-driven insights that will drive a variety of materials, including our Digital Banking Fraud Trends reports, threat landscapes, and forensic case studies of real-life frauds and scams
Create written content that showcases the results of data analysis and tells compelling stories
Present findings in internal forums as well as externally at BioCatch events
Become an internal conduit for all intelligence sharing across BioCatch teams
Build and maintain a data repository and self-service dashboard, empowering internal teams with access to fraud data
Identify opportunities and implement process efficiencies and automation in data analysis

Fulltime

Fraud Intelligence Research Analyst

We are expanding our Fraud Intelligence Unit and need passionate fraud fighters ...

Location

Germany

Salary:

Not provided

BioCatch

Expiration Date

Until further notice

Requirements

A bachelor’s/master’s degree in a STEM field and/or self-directed technology-focused education in programming for data analytics, with a passion for fighting fraud
Understanding of statistical modelling techniques
Experience with SQL to an intermediate/advanced level
Experience with Python and/or R (advantageous)
Experience working with financial institutions’ fraud departments preferred
Strong written and verbal presentation skills
Good communications and teamwork
Self and a quick learner
Second/third languages preferred

Job Responsibility

Analyze BioCatch data on a global and regional level
Conduct research and analysis of data from external sources
Identify fraud trends and data-driven insights that will drive a variety of materials, including our Digital Banking Fraud Trends reports, threat landscapes, and forensic case studies of real-life frauds and scams
Create written content that showcases the results of data analysis and tells compelling stories
Present findings in internal forums as well as externally at BioCatch events
Become an internal conduit for all intelligence sharing across BioCatch teams
Build and maintain a data repository and self-service dashboard, empowering internal teams with access to fraud data
Identify opportunities and implement process efficiencies and automation in data analysis

Fulltime

Fraud Intelligence Research Analyst

We are expanding our Fraud Intelligence Unit and need passionate fraud fighters ...

Location

Spain

Salary:

Not provided

BioCatch

Expiration Date

Until further notice

Requirements

A bachelor’s/master’s degree in a STEM field and/or self-directed technology-focused education in programming for data analytics, with a passion for fighting fraud
Understanding of statistical modelling techniques
Experience with SQL to an intermediate/advanced level
Experience with Python and/or R (advantageous)
Experience working with financial institutions’ fraud departments preferred
Strong written and verbal presentation skills
Good communications and teamwork
Self and a quick learner
Second/third languages preferred

Job Responsibility

Analyze BioCatch data on a global and regional level
Conduct research and analysis of data from external sources
Identify fraud trends and data-driven insights that will drive a variety of materials, including our Digital Banking Fraud Trends reports, threat landscapes, and forensic case studies of real-life frauds and scams
Create written content that showcases the results of data analysis and tells compelling stories
Present findings in internal forums as well as externally at BioCatch events
Become an internal conduit for all intelligence sharing across BioCatch teams
Build and maintain a data repository and self-service dashboard, empowering internal teams with access to fraud data
Identify opportunities and implement process efficiencies and automation in data analysis

Fulltime

Fraud Intelligence Research Analyst

We are expanding our Fraud Intelligence Unit and need passionate fraud fighters ...

Location

France

Salary:

Not provided

BioCatch

Expiration Date

Until further notice

Requirements

A bachelor’s/master’s degree in a STEM field and/or self-directed technology-focused education in programming for data analytics, with a passion for fighting fraud
Understanding of statistical modelling techniques
Experience with SQL to an intermediate/advanced level
Experience with Python and/or R (advantageous)
Experience working with financial institutions’ fraud departments preferred
Strong written and verbal presentation skills
Good communications and teamwork
Self and a quick learner
Second/third languages preferred

Job Responsibility

Analyze BioCatch data on a global and regional level
Conduct research and analysis of data from external sources
Identify fraud trends and data-driven insights that will drive a variety of materials, including our Digital Banking Fraud Trends reports, threat landscapes, and forensic case studies of real-life frauds and scams
Create written content that showcases the results of data analysis and tells compelling stories
Present findings in internal forums as well as externally at BioCatch events
Become an internal conduit for all intelligence sharing across BioCatch teams
Build and maintain a data repository and self-service dashboard, empowering internal teams with access to fraud data
Identify opportunities and implement process efficiencies and automation in data analysis

Fulltime

Risk Model Monitoring Execution Analyst

The role involves tracking, production, and implementation of CCAR/DFAST/ICAAP a...

Location

India , Bengaluru

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Degree in Statistics, Applied Mathematics, Operations Research, Statistics, Economics, or other highly technical quantitative discipline
0 to 2 years’ experience in developing or tracking quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and econometric modeling of consumer credit risk
Strong working knowledge in SAS Programming, ability to code from scratch, automate SAS processes etc.
Strong working knowledge in UNIX environment, working on FTP sessions (Putty/Tectia etc.)
Expertise in successfully executing either the model development or model performance tracking components of an analytical, econometric modeling-driven stress loss process
Expertise in running model implementation and model tracking processes across consumer products and/or business lines
Expertise in delivering technical presentations to countries, regions, internal modeling oversight functions, external regulators (e.g., FRB, OCC, FDIC), and internal audit functions
Strong capabilities in communicating technical information verbally and in writing to both technical and non-technical audiences
Candidates who have performed comparable functions to those listed above for significant, complex financial institutions at a consulting company, vendor, or service provider would be strongly considered as well
Tableau, Advanced Excel, VBA Automation programming is preferred

Job Responsibility

Obtain/implement model from model development to production environment, and obtain updated data from countries/regions and/or Risk Architecture to run primary & benchmark CCAR models
Document all production related activities around production/model implementation/performance tracking
Run quarterly model prediction performance back-testing and sensitivity analysis against accuracy and other required model performance triggers for production models
When performance shifts are observed, perform diagnostic analytics around drivers on the models
Document & review base and stress CCAR model performance with assigned countries & regions quarterly and assist countries and regions in their use of the CCAR/DFAST models in business activities such as loss forecasting/benchmarking their loss forecasts and assessing the risk of various lending segments (i.e., Risk Appetite)
Review model performance and drivers of any gaps or deterioration in model performance with MRM, IRMO, and regional and country risk managers
Perform full, formal annual model review to follow MRM’s guidance and standards

Fulltime

Analyst, Customer Insights

The Customer Insights (CI) team provides consumer and market intelligence across...

Location

United States , New York

Salary:

66300.00 - 79000.00 USD / Year

Ann Taylor

Expiration Date

Until further notice

Requirements

Bachelor’s Degree required
1-3 years of relevant professional experience preferred (e.g., strategy, research, consulting, corporate retail)
Proficient in Microsoft PowerPoint, Word, Excel, Outlook
Experience with survey research platforms and statistical tools, like SPSS or Q, is a plus
Ability to interpret datasets, identify patterns, and visualize insights to tell a clear story
Intuitive understanding of consumer psychology, behavior and related business considerations
Strong attention to detail and high standards of accuracy in analysis and reporting
Experience or demonstrated interest in retail / fashion
Strong interpersonal skills and ability to prioritize requests effectively
Demonstrates curiosity, resourcefulness, and adaptability in a fast-paced environment

Job Responsibility

Collaborate with CI team leads and business partners to design and field projects in support of priority business questions
Support the execution of surveys, online customer communities, and other research methods, including questionnaire design, survey programming, and fieldwork monitoring
Analyze quantitative and qualitative data to identify patterns, themes, and insights
Prepare clear, organized data visuals and reports to communicate findings
Monitor macro customer, category, and competitive trends relevant to our brands

What we offer

Merchandise discount at select KnitWell Group brands
Support for individual development plus opportunities for career mobility within our family of brands
A culture of giving back – local volunteer opportunities, annual donation and volunteer match to eligible nonprofit organizations, and philanthropic activities to support our communities
Medical, dental, vision insurance & 401(K)
Employee Assistance Program (EAP)
Time off – paid time off & holidays

Fulltime

Statistical Research Analyst

MUSC Health

Location:
United States , Charleston

Category:
Research and Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 14, 2026

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