Quantitative Modeler Job at BlackRock Investments (Budapest)

CCAR Quantitative Modeler – Unsecured Products

This position within US Personal Banking Risk will develop CCAR/CECL models for ...

Location

India , Gurgaon; Bengaluru; Mumbai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Advanced Degree (Bachelors required, Masters / PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or other highly quantitative discipline
2-5 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 or secured 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

Obtain and conduct QA/QC on all data required for CCAR/CECL model development
Develop segment and/or account level CCAR/CECL stress loss models
Perform all required tests (e.g. sensitivity and back-testing)
Validate/recalibrate all models annually to incorporate latest data. Redevelop as needed
Deliver comprehensive model documentation
Work closely with cross functional teams, including country/region’s business stakeholders, model validation and governance teams, and model implementation team
Prepare responses/presentations to regulatory agencies on all CCAR/CECL models built

Fulltime

VP Quantitative Model Developer

The VP, Quantitative Model Developer is a strategic professional who closely fol...

Location

Canada , Mississauga

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

1+ years of post-PhD work experience, or 3+ years of post-Master’s work experience
Strong understanding of quantitative model development approaches
Strong knowledge of econometrics
Practical experience writing programs to build and test predictive models
Proficient in Python
Solid understanding of economic concepts
Consistently demonstrates clear and concise written and verbal communication skills
Self-motivated and detail oriented
Demonstrated project management and organizational skills
Master's degree required, Ph.D. preferred

Job Responsibility

Build best-in-class models for a variety of macroeconomic concepts
Conduct rigorous analytical research
Produce macroeconomic scenario forecasts
Utilize Python to build and test statistical models
Communicate results to diverse audiences
Participate on teams to solve business problems
Identify modeling opportunities that yield measurable business results

Fulltime

Director, Structured rates / Structured notes modeler

A role in Markets involves trading financial instruments, such as bonds, stocks,...

Location

Singapore , Singapore

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Excellence in quantitative modeling for IR options, exotics and structured products
Exceptional potential / academic credentials: STEM Masters or PhD with tier-1 institutions
Thought leadership, creative problem solving, rigorous approach to modeling
Algorithmic mindset, computational expertise, system awareness, proficiency with C++ and Python
At least 6-7 years of experience with rate options, exotics and structured products with a globally respected institution, of which at least 2 years in Asia
Proven achievements with the development, implementation and integration of rate option and exotic models, including numerical methods: Monte-Carlo, PDE, optimization / calibration…
Result driven, business oriented, collaborative approach to quantitative analytics
Ability to communicate clearly on sophisticated technical topics, and adapt to diverse professional audiences
Quickly available to work in Singapore

Job Responsibility

Development and implementation of quantitative models and strategies to derive insight into market trends and optimize trading decisions, pricing, and risk management across various financial products and markets.
Working closely with sales teams to identify clients' needs and develop customised solutions.
In-depth research, data analysis, and statistical modelling to derive insights into market trends, pricing, and risk dynamics.
Provide front office infrastructure support though ownership and maintenance of analytical libraries.
Provision of expertise on quantitative methodologies, technological advancements, and industry best practices to drive innovation within the trading environment.
Manage a business function, providing significant input to function wide strategic initiatives.
Contribute to and influence policy and procedures for the function and plan, manage and consult on multiple complex and critical strategic projects, which may be business wide.
Manage the direction of a large team or sub-function, leading other people managers and embedding a performance culture aligned to the values of the business.
Provide expert advice to senior functional management and committees to influence decisions made outside of own function, offering significant input to function wide strategic initiatives.
Manage, coordinate and enable resourcing, budgeting and policy creation for a significant sub-function.

What we offer

Hybrid working
Structured approach to hybrid working with fixed 'anchor' days
Supportive and inclusive culture and environment
Commitment to flexible working arrangements
Office designed to optimise well-being
Integrated live-work-play development with shops, restaurants, gyms and alfresco dining area
Encouragement to embrace mobility and explore operations to build career
Chance to learn from a globally diverse mix of colleagues

Fulltime

Risk Model Senior Analyst

Risk Model Senior Analyst role in Citi's Risk Management organization, part of t...

Location

Philippines , Taguig

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

At least 4-5 years of relevant experience in creating, validating and reviewing models
Undergraduate degree in a quantitative or technical discipline such as Computer Science, Engineering, Physics, Statistics, Quantitative Finance
Master's degree or higher in quantitative disciplines a plus
Knowledge of or interest in finance, markets, risk management
Ability to apply sophisticated mathematical/analytical techniques to solve real-world problems
Proficient in Python, Java, or Scala in a Unix/Linux environment
Candidate must be proficient in PYTHON

Job Responsibility

Prepare detailed quantitative modeling and analysis for risk managers and senior management
Synthesize and communicate complex risk models and results
Conduct statistical analysis, quantitative modeling, and model risk controls
Work with risk managers, businesses, and tech to design and build models for risk capture and stress testing

What we offer

Access to telehealth options, health advocates, confidential counseling
Expanded Paid Parental Leave Policy
Programs to manage financial well-being and help plan for the future
Access to learning and development resources
Generous paid time off packages
Resources and tools to volunteer in communities

Fulltime

Head of Model Review & Governance

A leading multi-strategy hedge fund is hiring a Head of Model Review & Governanc...

Location

United States , New York; Miami

Salary:

200000.00 - 250000.00 USD / Year

Selby Jennings

Expiration Date

Until further notice

Requirements

Masters/PhD in a quantitative field
10+ years of experience in pricing model development, model validation, or risk management
Deep understanding of derivatives products and associated risks
Experience in derivative pricing model development and/or validation
Strong coding skills in Python, including building tools for model validation and testing
Proven track record of leading a risk modelling or pricing strats team
Highly detail-oriented with strong ownership mindset
Excellent interpersonal and communication skills, capable of presenting complex concepts to technical and non-technical audiences

Job Responsibility

Oversee and coordinate model review activities across asset classes to ensure rigorous and consistent validation of pricing models
Lead Model Validation groups and quant risk/research teams working on cross-asset projects
Maintain comprehensive documentation of model testing, ensuring compliance with internal governance standards
Manage the inventory of pricing and risk models
Act as a subject matter expert on pricing models and governance, providing guidance to internal stakeholders
Continuously enhance the model governance framework

Qa Retail Credit Risk Model Developer

Join us as a "QA Retail Credit Risk Model developer" in our Quantitative Analyti...

Location

India , Noida

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Minimum Bachelor’s Degree in quantitative discipline
Hands-on experience in statistical model development and basic knowledge of Capital and impairment concepts
A good knowledge of data analysis, theory and statistical techniques (such as linear or nonlinear models, logistic regression, macroeconomic forecast, decision trees, cluster analysis and neural networks etc.)
Proficiency with analytical software R or Python, SQL tools (e.g., Oracle), Unix platforms, and MS Office required
Advanced Python Programming and knowledge of Python/R/C++ coding
Model implementation using DevOps tools like TeamCity, Jira, BitBucket and Nexus etc
Project and stakeholder management
Experience in financial institution data, supporting model development, implementation and productionisation within credit wholesale, consumer, finance or treasury

Job Responsibility

Design analytics and modelling solutions to complex business problems using domain expertise
Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools
Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams
Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them
Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users
Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy
Ensure all development activities are undertaken within the defined control environment

What we offer

Hybrid working
Modern workspaces, collaborative areas, and state-of-the-art meeting rooms
Facilities include wellness rooms, on-site cafeterias, fitness centers, and tech-equipped workstations

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

Non-Traded Models IVU-VP

Embark on a transformative journey as a Non-Traded Models IVU-VP at Barclays, wh...

Location

India , Noida; Mumbai

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Validate credit risk related regulatory (IRB, IFRS9, CCAR and Stress Testing) models for wholesale portfolios by following Bank’s policies and standards
Perform technical analysis and/or build alternative benchmarks to new and existing models, in line with the requirements set out in the bank’s standards and policies
Work as an Individual Contributor and also Mentor a team of 2-3 analysts
Review regulatory requirements to ensure compliance with different regulatory guidelines e.g. SR 11-7, PRA, FRB, SS-1/23
Support the development and review conformance with appropriate policies including Group Model Risk policy
Solid understanding of the quantitative techniques used in developing and validating models including credit risk related regulatory (IRB, IFRS9, CCAR, Stress-testing, PD, EAD, LGD) models for wholesale portfolios
Hands-on experience in the use of statistical packages such as Python, SAS, R
Expert user of Microsoft Excel and other Microsoft Office tools
An ability to identify and analyse appropriate external data sources including macro-economic variables for model development or validation along with excellent communication and stakeholder management skills

Job Responsibility

Validation of models for their intended use and scope, commensurate with the complexity and materiality of the models
Approval or rejection of a model or usage based on assessment of the model’s conceptual soundness, performance under intended use and the clarity of the documentation of the model’s inherent risks, limitations and weaknesses
Assessment of any compensating controls used to mitigate Model risk
Documentation of validation findings and recommendations in clear and concise reports, providing actionable insights for model improvement
Evaluation of the coherence of model interactions and quality of Large Model Framework aggregate results that generate output for regulatory submissions or management decision making and planning
Design of the framework and methodology to measure and, where possible, quantify model risk, including the assessment of framework level uncertainty

What we offer

modern workspaces
collaborative areas
state-of-the-art meeting rooms
wellness rooms
on-site cafeterias
fitness centers
tech-equipped workstations
flexible working arrangements
hybrid working

Fulltime

Quantitative Modeler

BlackRock Investments

Location:
Hungary , Budapest

Category:
Finance

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 20, 2026

Expiration:
March 02, 2026

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