Employment Type: Full-time

We Are Looking For You, If You

• Have MSc in mathematics, econometrics, statistics or a similar quantitative field,
• Have sound knowledge of statistical inference, econometric methods, and statistical programming
• Have extensive knowledge and good understanding of IFRS9 standard implementation in the field of model development
• Have at least 6 years of experience with IFRS9 standards interpretation and model development
• Have an ability to clearly and succinctly express yourself,
• Have an ability to identify problems, analyzing key information and making connections, to find appropriate structural solutions
• Complete tasks and achieve results in an efficient, timely, and high-quality manner, with a focus on execution and delivery of targets and KPIs.

English level – C1.

You’ll Get Extra Points For

• Experience in being a sparring partner/advisor to Senior Management
• Familiarity with best practices in coding / software development (release management, version control, testing, issue tracking)
• Professional certification FRM/PRM/CFA or CQF.

Your Responsibilities

• Shaping IFRS9 model development and monitoring methodology, including:
• Adapting and implementing IFRS9 standard into model development and monitoring framework covering the whole ING Group model landscape
• Reviewing and challenging IFRS9 model development and monitoring methodology, including its current implementation
• Translating IFRS9 methodology into functional specification for the purposes of the tools used for model development and monitoring within ING Group
• Participating in building internal tools used for IFRS9 model development and monitoring
• Participating in Development of IFRS9 models
• Participating in monitoring of IFRS9 and underlying IRB/Non-IRB models
• Collaborate with an internal Model Validation Unit during model development, model monitoring, and review processes.
• Write reports / model documentation.

We are seeking a highly skilled Quantitative Researcher to drive the development and optimization of our options market making and hedging infrastructure. In this role, you will be a key contributor to our Quantitative Trading Division, taking ownership of liquidity provision and dynamic risk management to fuel our continued growth. You will collaborate with Trading, Technology, and Risk Management teams to architect sophisticated pricing and hedging frameworks, and ensure optimal balance between market making profitability and risk exposure control.

 

Core Responsibilities

• Design options market making quoting logic, optimizing bid-ask spreads to control adverse selection risk and enhance market making returns.
• Develop real-time hedging strategies, managing Delta/Gamma/Vega/Theta exposures to mitigate position risk.
• Research active position management strategies, utilizing Greeks for exposure optimization and arbitrage enhancement, improving portfolio Sharpe ratio.
• Construct real-time risk monitoring dashboards, overseeing comprehensive Greeks exposure and margin risk with 7×24 early warning capabilities.
• Analyze hedging costs and P&L attribution, optimizing hedging frequency and execution algorithms, delivering weekly attribution reports.
• Develop basis management tools, monitoring cross-exchange options and underlying price differentials to capture arbitrage opportunities.
• Process tick-level data, conducting strategy backtesting and quantitative analysis to validate model efficacy.

 

Qualifications

• Bachelor’s degree or above; Mathematics, Statistics, Physics, Financial Engineering, Computer Science, or related fields preferred.
• 2–5 years of quantitative research or options trading experience, with hands-on experience in market making or high-frequency trading teams.
• Experience: Demonstrated track record in exchange API integration (WebSocket/REST), with familiarity with low-latency data capture and order execution workflows.
• Proficiency in Python (Pandas/NumPy), capable of developing efficient real-time data processing and hedging logic.
• In-depth understanding of options pricing theory, with mastery of put-call parity, volatility smile, and comprehensive Greeks risk analysis.
• Tick-level data processing and backtesting capabilities, with ability to independently conduct quantitative strategy validation.
• Intuitive grasp of cross-market arbitrage and liquidity hedging, with ability to rapidly identify pricing anomalies.
• Strong logical reasoning and structured analytical capabilities, with capacity for rapid decision-making under high-pressure environments.

 

Preferred Qualifications

• Background at leading market makers (Jump Trading, Citadel, Optiver) or quantitative teams at tier-one cryptocurrency exchanges.
• Certification in CFA, FRM, CQF, or equivalent credentials in quantitative finance.
• Track record of building options market making systems from inception or developing complete hedging strategies independently.
• Familiarity with options trading rules and hedging instruments across major exchanges (Deribit, Binance, CME, OKX).
• Proficiency in C++ or Rust for low-latency programming, with high-frequency trading system development experience.

Old National Bank has been serving clients and communities since 1834. With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving.

We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance. 401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers a variety of Impact Network Groups led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization. We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values.

Responsibilities The Corporate Treasury Analyst Lead is responsible for sourcing and integrating data from multiple internal and external systems and automating recurring process to support to support the bank’s treasury functions. This role involves building tools for liquidity forecasting, interest rate risk analysis, capital planning, and balance sheet optimization. The lead collaborates with Treasury, Risk, Finance, and Technology teams to deliver data-driven insights and ensure compliance with regulatory requirements.

Salary Range The salary range for this position is $81,700 – $165,100 per year plus bonus. The base salary indicated for this position reflects the compensation range applicable to all levels of the role across the United States. Actual salary offers within this range may vary based on a number of factors, including the specific responsibilities of the position, the candidate’s relevant skills and professional experience, educational qualifications, and geographic location.

Duties And Responsibilities

• Source, extract, and consolidate data from external sources and core treasury systems.
• Build and maintain internal data sources and curated datasets in Databricks ensuring Treasury teams have centralized, high-quality data to support models.
• Develop SQL queries, APIs, and ETL processes to move and transform large datasets.
• Design and implement automated workflows (Python, SQL, Power Automate) to streamline treasury reporting and reduce manual processes.
• Collaborate with cross-functional teams to integrate analytics into treasury processes and reporting.
• Serve as a bridge between Treasury and data engineering teams by developing reusable data products in Databricks.
• Drive innovation in analytics platforms and data visualization tools.
• Ensure model governance, documentation, and validation in line with regulatory expectations.
• Support stress testing and regulatory submissions (e.g., CCAR, DFAST, LCR, NSFR).

Key Competencies

• Strong understanding of treasury functions and financial risk management.
• Proficiency in programming languages and tools (e.g., Python, R, SQL, MATLAB).
• Experience with data visualization platforms (e.g., Tableau, Power BI).
• Excellent communication and stakeholder engagement skills.
• Ability to manage multiple projects and deliver high-quality results.

Qualifications and Education Requirements

• Bachelor’s degree in Quantitative Finance, Mathematics, Statistics, or related field; Master’s or PhD preferred.
• 8+ years of experience in analytics, treasury, or risk management within a financial institution.
• Professional certifications such as CFA, FRM, or CQF are advantageous.
• Strong knowledge of regulatory frameworks and model governance standards.

Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com.

Nomura Services, India supports the group’s global businesses. With world-class capabilities in trading support, research, information technology, financial control, operations, risk management and legal support, the firm plays a key role in facilitating the group’s global operations.

At Nomura, creating an inclusive workplace is a priority. Our approach to inclusion encompasses a variety of initiatives, including sensitization campaigns, implementing conducive policies & programs, providing infrastructure support and engaging in community events. Over time, we have made meaningful progress in these areas, and this commitment has been well-recognized across the industry. We are proud recipients of the prestigious Top 10 Employers award by the India Workplace Equality Index (IWEI), IWEI Gold Employer of Choice awards, India CSR Leadership Award 2024 for Holistic Village Development Program and the YUVA Unstoppable Changemaker Awards.

Division Overview:

The Risk Management Division encompasses the firm’s comprehensive risk framework responsible for determining and managing the overall risk appetite for the firm. The division is responsible for effectively managing the firm’s risk-return profile which ensures the efficient deployment of the firm’s capital. It is one of the firm’s core competencies and is independent of the trading areas and operational areas.

Business Unit Overview:

• Requirements gathering, testing and documentation for regulatory compliance and transformational risk management initiatives.
• Analyse complex risk data flows, calculation engines, and reporting processes to identify gaps and architect robust solutions aligned with enterprise risk appetite.
• Execute projects in adherence with the Nomura governance standards delivering well defined business outcomes.
• cross-functional collaboration between Risk, Technology, Operations, and Compliance teams while gathering business requirement & functional requirement.
• Translating business requirements into technical specifications for risk platforms, coordinate system integrations with stakeholders.
• Maintaining cutting-edge regulatory knowledge, conduct industry benchmarking, and drive continuous improvement through feedback loops and best practice implementation.

What We Offer:

• We support employee wellbeing by ensuring a sense of purpose and belonging.
• We offer a comprehensive range of wellbeing services which allows employees to get access to the assistance they need at any point in their wellbeing journey.
• Our bespoke benefits support employees and their family’s holistic wellbeing and are inclusive of diverse identities and family structures.

Position Specifications:

Corporate Title: Associate (AVP level)

Experience: 8-12 years

Qualification: MBA, FRM, CFA, CQF etc

Role & Responsibilities:

• Business Analyst with 8 to 12 years of relevant experience in the Risk domain, particularly in Stress Testing, Trading Wind Down (TWD), Counterparty Credit Risk and Market Risk.
• The person is expected to play a lead role for the Stress Testing and TWD projects within International Change and work with local and regional stakeholders to manage the book of work.
• Understand the Nomura Risk Change programme and maintain a dependable team of skilled BAs to be assigned to various projects within it.
• Independently manage medium to large projects through the lifecycle and use BA tools proficiently (business requirement documents, functional specifications, data matrix, Work Flow Diagrams etc.)
• Run test management processes for medium to large scale projects (Test Strategy/Approach documentation, managing User Acceptance Testing, building test plans and test scenarios, building implementation plans.)
• Assist our stakeholder businesses with their tactical/strategic solution requirements, services and/or program.
• Must be able to work with Technology, Risk Management, Risk Middle Office, and Front Office to identify and maximize opportunities that help in delivery of projects and to improve product, service and program business processes.
• Must have the ability to work with a team and train people on various subjects, structure the project governance model and also work together with regional counterparts to devise induction framework for all the resources entering into the project.
• Prepare project reports (weekly project update, monthly status update, highlighting risks, resource utilization, analyses trends, recommends adjustments that address or capitalize on these changes.)
• The role requires full adherence to the work from office roster for the team.

 

Mind Set:

Domain

• Strong understanding of capital market products and derivatives across asset classes
• Good knowledge of Stress Testing across different Risk scenarios, Counterparty Credit Risk domain with project experience in areas like computation of risk measures/exposures (EAD, PE, PFE, EEPE, LEQ, VaR, ES etc.), management of risk limits, risk reporting etc.
• Skilled in performing data analysis and understanding data models for computation of risk measures
• Good understanding of the Basel norms, particularly the capital requirements for Market, Credit and CVA risks
• Ability to operate in both agile and waterfall style project methodologies and have an understanding of deliverables required for each methodology
• Attention to detail and high quality standards of documentation, processes and control environment
• Experience in the full E2E systems delivery lifecycle (SDLC)
• Detailed knowledge of all Microsoft Office products, i.e. Word, Excel, Power Point, Project and Visio
• Good educational pedigree and domain certifications (MBA, FRM, CFA, CQF etc.)
• Excellent communication, organization, prioritisation and documentation skills
• Deals comfortably with ambiguity – Stays on target to complete goals regardless of obstacles or adverse circumstances
• Ability to identify any inefficiencies in processes and suggest ideas for automation and/or operating model changes.
• Proficiency in database, virtualization and BI solutions – SQL, Python, Dremio, PowerBI, Alteryx, Tableau etc.
• Flexibility – adapts effectively to changing plans, domains and priorities; Is open and flexible when faced with changing project constraints
• Excellent and demonstrable understanding of “best practice” approaches to functional testing especially User Acceptance Testing.

Please see job role.

We are seeking a highly analytical and detail-oriented individual to join our Model Validation team at Crisil. As a key member of the team, you will be responsible for the independent validation of market risk models under the Fundamental Review of the Trading Book (FRTB) framework. This includes both the Internal Model Approach (IMA) and the Standardized Approach (SA). The role requires a deep understanding of quantitative finance, regulatory requirements, and strong technical skills to ensure our models are conceptually sound, robust, and fit for purpose.