Quantitative Analyst Developer - Advanced Job at Randstad (Toronto)

Quantitative Analyst

The Market Quantitative Analysis (MQA) team is seeking a Quantitative Analyst to...

Location

Poland , Warsaw

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Strong technical and programming skills in C++ and Python
Experience in developing complex numerical algorithms or large-scale data processing systems
Solid understanding of statistical and mathematical modeling techniques
Knowledge of numerical methods, stochastic calculus, Monte-Carlo techniques and statistical inference
Ability to independently problem-solve and drive solutions from conception to implementation
Excellent communication skills (written and verbal)
Strong work ethic and team player with excellent time management skills
Master's or PhD degree in a quantitative field (Mathematics, Physics, Statistics, Financial Engineering, Computer Science)
5+ years experience in quantitative modeling and analytics within financial derivatives or risk management

Job Responsibility

Develop, enhance, and maintain counterparty credit risk models and their underlying analytics library
Design and implement robust methodologies, advanced algorithms, and sophisticated diagnostic tools
Interpret complex model outputs and communicate comprehensive insights to internal stakeholders and external clients
Collaborate with risk quantitative analysts, technology professionals, and structurers to integrate models and solutions

What we offer

Private healthcare
Award winning pension scheme
Multisport
Life insurance
Holiday allowance
Anniversary program
Competitive maternity and paternity scheme
Hybrid model of work
Flexible working hours
Structured onboarding process

Fulltime

Quantitative Analyst

The Market Quantitative Analysis (MQA) team is looking for a Quantitative Analys...

Location

Poland , Warsaw

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Experience in a comparable quantitative modelling or analytics role, ideally in the financial sector
Strong technical and programming skills: C++, Python
Ability to independently problem-solve
An ability to communicate advanced concepts in a concise and logical way, strong interpersonal and communication skills (verbal and writing)
Strong work ethic and a team player with excellent time management skills and ability to multi-task
MSc/PhD in a quantitative field

Job Responsibility

Contribute to counterparty credit risk models and their analytics library
Write production-quality code
Develop methodologies, algorithms, and diagnostic tools for testing model performance
Analyse and provide comprehensive explanation of model outputs to internal and external clients
Collaborate closely with risk quantitative analysts, technology professionals and structurers

What we offer

Competitive salary connected with annual salary review and discretionary annual performance bonus
Social benefits (private healthcare, award winning pension scheme, multisport, life insurance, holiday allowance, anniversary program, competitive maternity and paternity scheme)
Hybrid model of work – from modern offices and from home, flexible working hours
Working in a friendly, dynamic, supportive and diverse environment – including multiple affinity and social networks & voluntary activities to engage with
Structured onboarding process and extensive training offering (e.g. including Udemy, Degreed)
Opportunity to have an influence on the way you perform your tasks - our teams are constantly looking for new and better ways and we encourage all improvement ideas
Unlimited development opportunities within Citi global network
Exposure to a wide range of internal stakeholders as well as to senior management

Fulltime

Senior Quantitative Analyst

The Market Quantitative Analysis (MQA) team is seeking a Quantitative Analyst to...

Location

Hungary , Budapest

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Strong technical and programming skills in C++ and Python, with experience in developing complex numerical algorithms or large-scale data processing systems
Solid understanding of statistical and mathematical modeling techniques, including numerical methods, stochastic calculus, Monte-Carlo techniques and statistical inference
Ability to independently problem-solve and drive solutions from conception to implementation
Excellent communication skills (written and verbal) with the ability to articulate complex quantitative concepts clearly and concisely to diverse audiences
Strong work ethic and a team player with excellent time management skills
Master's or PhD degree in a quantitative field (e.g., Mathematics, Physics, Statistics, Financial Engineering, Computer Science)
Proven experience 3+ years in quantitative modeling and analytics, specifically within financial derivatives, risk management, or similar domains.

Job Responsibility

Develop, enhance, and maintain counterparty credit risk models and their underlying analytics library, delivering high-performance, production-quality code
Design and implement robust methodologies, advanced algorithms, and sophisticated diagnostic tools to rigorously test and validate model performance
Interpret complex model outputs and communicate comprehensive insights to internal stakeholders and external clients
Collaborate closely with risk quantitative analysts, technology professionals, and structurers to integrate models and solutions effectively.

What we offer

Competitive compensation package, including an annual salary review and discretionary performance bonus
Comprehensive social benefits, including premium healthcare, an award-winning pension scheme, robust life insurance, generous holiday allowance, and family support programs (e.g., competitive maternity and paternity scheme)
Flexible hybrid work model, blending modern office collaboration with the convenience of remote work
A dynamic, supportive, and inclusive work environment fostering collaboration, diversity, and professional growth, complemented by active affinity groups and social networks
Structured onboarding and continuous learning opportunities through extensive internal training programs, including access to platforms like Degreed
Significant influence on team processes and methodologies, with active encouragement for innovation and improvement ideas
Extensive career development and growth opportunities across Citi's global network
Direct exposure and collaboration with a wide range of senior stakeholders across different functions.

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

Senior Quantitative Risk Analyst

Join Allianz plc as a Senior Quantitative Risk Analyst, where you will play a pi...

Location

Ireland , Dublin

Salary:

Not provided

Allianz

Expiration Date

Until further notice

Requirements

Proven 5+ years of experience in risk management or actuarial roles, with Solvency II experience an advantage
Third level graduate of a relevant Actuarial, Mathematics, Physics or comparable quantitative-technical discipline
Excellent collaborative attitude
A proactive approach to problem-solving and decision-making
Persistent attitude to identify potential to best possible approaches to reflect and model risks
Excellent communication, project management and report writing skills.

Job Responsibility

Steer the delivery and ongoing enhancement of the Financial Recovery Plan
Support and co-ordinate other key risk processes such as the ORSA and annual risk capital plan in collaboration with internal and external stakeholders
Provide advanced contributions to capital management initiatives and the SII steering squad
Further develop the quantitative risk limit framework to effectively mitigate risks in close collaboration with the business
Support adherence to the company’s risk appetite
Conduct scenario analyses and stress testing of key risks in conjunction with the Financial Recovery Plan, ORSA Report and Top Risk Assessments
Calibrate the Allianz plc Internal Model for individual risk types and conduct related model validation activities
Analyse and communicate the movements in risk capital arising from each Closing run under the Internal Model
Develop state-of-the-art solutions for risk management, control, and mitigation.

What we offer

An integral role within a highly respected and international Risk Management team
A supportive environment that values collaboration and innovation
Opportunities for professional growth and development
The chance to make a significant impact on Allianz plc’s risk management strategies
A tailored scope of responsibilities that can be adjusted to fit your strengths and career aspirations.

Fulltime

New

Advanced Analytics Analyst

The Advanced Analytics Analyst employs advanced analytics to gain critical insig...

Location

United States of America , Atlanta; Indianapolis; Mason; Richmond

Salary:

Not provided

Elevance Health

Expiration Date

January 03, 2026

Requirements

Requires MS, MA, or PhD with concentration in a quantitative discipline such as Mathematics, Statistics, Economics, Epidemiology, Engineering, Computer Science or Operations Research
or any combination of education and experience which would provide an equivalent background
Requires working experience with SAS or equivalents analytical tools, Teradata, SQL, or equivalent database tools, and direct experience applying statistical/analytical tools to solve research/practical problems

Job Responsibility

Performs established analysis for routine diagnoses of quality, use, cost and other variables for opportunity assessments
Executes identification and stratification algorithm to select the right members for the targeted solution
Develops the technical definition of outcome metrics to assess outcomes
Performs defined analyses to assess proper outcome metrics for various programs/initiative
Builds, tests, and validates statistical models under supervision
Contributes to research and publications by performing basic analyses, preparing data and documenting results
Manages the pitfalls and limitations with analyzing practical data and the ability to ensure data and analysis quality
Uses analytical methods such as profiling a customer segment, experimental design and regression analysis
Solves well defined analytical problems independently
Delivers assignment/projects timely and accurately

What we offer

merit increases
paid holidays
Paid Time Off
incentive bonus programs (unless covered by a collective bargaining agreement)
medical
dental
vision
short and long term disability benefits
401(k) +match
stock purchase plan

!

Quantitative Senior Analyst

The Model/Anlys/Valid Sr Analyst is a seasoned professional role requiring advan...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

8-13 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
Knowledge in statistics and statistical modeling
Experience using tools for statistical modeling of large data set
Advanced Python programming skills
Advanced Analytics skills
Experience in ML / Generative AI
Proficient in MS Office applications (Excel, Word, PowerPoint)

Job Responsibility

Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function
Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business
Evaluates moderately complex and variable issues with substantial potential impact
Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources
Regularly assumes informal/formal leadership role within teams
Involved in coaching and training of new recruits

What we offer

Resources to meet your unique needs
Empowerment to make healthy decisions
Management of financial well-being to help plan for your future
Inclusive workplace
Volunteerism opportunities

Fulltime

Regulatory Model Monitoring Analyst

This position within US Personal Banking and Wealth Management will focus on reg...

Location

India , Bengaluru

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Advanced Degree (Masters required, PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or other highly quantitative discipline
2+ years’ experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and particularly econometric modeling of consumer credit risk stress losses
Experience with dynamics of unsecured products a strong plus
Active role in performing some analytical components of an econometric modeling-driven stress loss process (data collection, data integrity QA/QC/reconcilements, pre-processing, segmentation, variable transformation, variable selection, econometric model estimation, sensitivity testing, back testing, out-of-time testing, model documentation, and model production implementation)
Exposure to various stress loss modeling approaches at the segment or account level preferred
Able to communicate technical information verbally and in writing to both technical and non-technical audiences
Proficiency in SAS/SQL/Oracle/Unix/Microsoft Word, Excel and PowerPoint
Work as an individual contributor

Job Responsibility

Analyze quarterly model performance results and other required model performance analysis for production models
When forecast or performance shifts are observed, perform diagnostic analytics around drivers including standard reporting as well as drill down analytics
Explain model results and review drivers of observed gaps or deterioration in model performance with regional/country risk managers and internal model development teams
Perform formal quarterly and annual model review according to MRM’s guidance and standards
Respond to MRM’s questions as needed
Obtain and conduct QA/QC on all data required for CCAR/CECL model development
Deliver comprehensive model documentation
Work closely with cross functional teams, including country/region’s business stakeholders, model validation, governance teams, model development and implementation teams

Fulltime

Quantitative Analyst Developer - Advanced

Randstad

Location:
Canada , Toronto

Category:
Finance

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 29, 2025

Expiration:
February 08, 2026

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Quantitative Analyst Developer - Advanced

Randstad

Location:Canada , Toronto

Category:Finance

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:December 29, 2025

Expiration:February 08, 2026

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Location:
Canada , Toronto

Category:
Finance

Contract Type:
Not provided

Job Posted:
December 29, 2025

Expiration:
February 08, 2026