Jobs Archive

Financial Risk Analyst

About The Role

As an Assistant Vice President in our Financial Risk Aggregation and Analytics (FRAA) team, you’llbe at the intersection of financial markets, data analytics, and risk management. You’ll leverageyour technical and analytical skills to provide critical insights that shape our risk strategy andreporting processes.

Key Responsibilities

Monitor and analyze Market and Credit risk portfolio exposures for Swiss Re group,performing change & impact analysis and presenting key business drivers to management
Develop innovative tools to improve data consistency and identify irregularities in the riskaggregation and reporting process
Conduct advanced analytics n large-scale data, interpreting results and presentingsimplified insights to management
Identify and lead projects to enhance measurement and attribution of Risk Metrics likeStress, VaR, SPLC, and Shortfall
Ensure quality delivery of day-to-day reporting with appropriate analysis, timeliness, andconsistency across reporting dimensions
Address stakeholder requests efficiently while maintaining service excellence
Drive continuous improvement of risk reports and reporting processes through fast-developed IT solutions
Communicate effectively with Credit Underwriting, Asset Management, Treasury and otherbusiness units, articulating actionable feedback on events, exposures and issues impactingSwiss Re’s risk profile

About The Team

The Financial Risk Aggregation and Analytics (FRAA) team within Solvency and Financial RiskManagement (SFRM) is responsible for collecting and aggregating Swiss Re’s firm-wide financialmarket and credit risks. We produce various analytics and periodic reports for internal andexternal stakeholders with a strong focus on analysis, timeliness, and quality. Our team worksclosely with Market Risk Managers, Credit Risk Managers, Credit Underwriters, Asset Managers, and Treasury to align reporting needs in a fast-changing environment. We emphasize strong ITcapabilities for efficient implementation of reporting processes.

About You

You’re a detail-oriented analytical thinker with excellent communication skills and a passion forfinancial risk management. You thrive in a collaborative environment where you can apply yourtechnical expertise to solve complex problems. Your ability to translate complex data intoactionable insights makes you an invaluable partner to stakeholders across the organization.

We Are Looking For Candidates Who Meet These Requirements

Good academic track record in Engineering, Data Science, Finance or Mathematics(Bachelors/Masters) or a professional designation such as CFA, CQF or FRM
7-8 years of experience in the financial services or insurance sector with a goodunderstanding of financial products (fixed income, equities and derivatives) and counterparty credit risk
Solid IT & analytical skills with exposure to at least one scripting language (e.g. Python, R),data modeling, and SQL
Good communication skills with an ability to articulate technical topics in simple terms
Strong organizational skills with ability to handle multiple priorities and meet deadlines

Deal Structurer – Power

This role is an exciting and challenging position with excellent development opportunities across T&S and the wider Shell group. We require a creative individual with excellent analytical and interpersonal skills, working under tight deadlines and pressures requiring dynamic expectation management of stakeholders. The candidate will be needed to continue delivering to an excellent standard, with clear focus on the bottom line and priorities in hand. The successful candidate will show the will and the ability to contribute to this objective and to constantly improve personal and team performance.

The main responsibility of the role is to collaborate with the power business and support the growth of the power portfolio in Europe, while being accountable for the methodology of the valuation and risk assessment of complex transactions.

The role specifically involves the following:

Commercial structuring as well as Financial & Quantitative modelling of complex power transactions
Represent the Deal Structuring team and build strong relationships working with the local stakeholders in the power business and internal functional departments (Risk, Finance, Credit)
Collaborate with power originators and traders to create innovative structured products in response to demand and changing market conditions
Provide specialized knowledge on structure, valuation and risk assessment for opportunities in the European power market
Provide an independent view on structured transactions, with constructive challenge of the deal owner as required and suggest alternative solutions or improvements
Develop and own valuation methods and models in python and excel, for pricing and risk assessment of complex structured contracts.
As part of the deal team proactively engage with commercial project leaders to (re-)structure non-standard transactions during negotiation phase, be creative to suggest alternative solutions and adaption of contract structures
Collaborate with deal owners to manage and extract value from acquired structured positions
Maintain an outward mindset and ongoing commitment of Deal Structuring to the One-team approach undefined

What You Bring

We are keen to hear from individuals who are quick learners with demonstrable experience of leading individually as well as small teams towards finding solutions to complex business problems, with proven exposure to the Italian market and the ability to grow within a dynamic environment of power trading.

With deal structuring & quantitative analysis at the heart of this role, the candidates would ideally need prior relevant experience in structuring/quantitative analytics and/or qualification in numerical subject (MSc, CFA, CQF, ACA or similar), with proven track record of working in Power/Gas/LNG markets (Preferably one or more European power markets).

Beyond the key requirements mentioned above, strong knowledge or experience in the areas listed below is needed to succeed and thrive in this role:

Required

Programming in python and Excel VBA
Developing and maintaining high quality excel financial models for business end use
Theory and Practice of quantitative finance, models and application to gas and power derivatives
Experience of structured asset and deal valuations, including risk management strategies.
Fluency in the English language, with Italian/German speaker advantageous

Advantageous

Knowledge of corporate finance and accounting principles
Commercial acumen and strong grasp of principles of long-term commodity investments & risk drivers
Coaching/mentoring junior team members
A Certificate in Quantitative Finance (CQF) is considered preferable

Associate Director – Structured Rates Valuations, Product Control Valuations (London)

You will be responsible for leading Global Structured Rates IPV (Independent Price Verification) Team.

You will be working with the Desk, Quants, Market Risk, Valuations Methodology and Senior Management to facilitate expanding business by maintaining strong second line control and governance within the CFO Group.

You will be heavily involved in maintaining IPV Valuations Models and driving automation within your area.

This position is full time and will require 4 days in the office.

What will you do?

Lead the control function to perform IPV (Independent Price Verification) and other Valuation Adjustments across a wide range of mainly derivative positions for the Global Structured Rates businesses within RBC Capital Markets.
Play a key role in the production and implementation of methodology for Valuation Adjustments relating to the Structured Rates business.
Play a key role in the provision of detailed reports and analysis on IPV/VA results to senior managers, business heads, Valuations and Risk committees, and Heads of Valuations, Market Risk and Finance.
Manage a team of 2/3 strong inviduals
Ensure that existing VA/IPV processes continue to be aligned and keep pace with the business, and Regulator and Accounting Best Practice.
Ensure that all VA/IPV processes are complete and follow RBCs risk policies and procedures. Identify and escalate appropriate improvements.
This role is also required to provide significant subject matter expertise on various valuations related projects and initiatives, as required, including ad hoc management and/or regulatory reviews and new business initiatives
Review IPV and Reserve calculations and reports produced by the team.
Maintain effective working relations with the regional Heads of businesses.
Ensure process documentation is up to date and adhered to.
Ensure other related valuations responsibilities relevant to IR structured products are carried out. For example, Levelling, Prudential Valuations (AVA) calculations, input into MIS reporting, and large Day 1 P&L investigations.
Lead on on-going enhancements and development of the control environment; applying an awareness of accounting and regulatory constraints.
Provide pro-active input into valuation related projects, regulatory reviews and new business initiatives.
Ensuring the team follows EUC (End User Computing, e.g., Cluster Seven) practices.

What do you need to succeed?

Must-have

Strong Technical understanding of derivatives and their valuation, including vanilla and exotic interest rate derivatives. Relevant experience in a Product Control role focusing on Structured Products is an advantage. Management experience, or well established in a senior role within a team.
Experience of IPV and reserve calculations A good understanding of the following financial products and their valuations: vanilla derivative products (including futures, interest rate swaps, FRAs, basis swaps, cross currency swaps and structured products).
A developed understanding of P&L calculations for businesses that trade these products; A developed understanding of the purpose of control processes such as IPV and Valuation Adjustments (reserves).
Experience of creating or overseeing professional reports, including written commentary, to fixed deadlines and for business or senior management consumption.
Ability to communicate and liaise confidently and effectively with junior and senior members of all areas including the business (Front Office), and external vendors, using written and oral methods.
Ability to work to tight deadlines in a pressured environment.
Ability to work well in a small team and in conjunction with other staff members of all levels from various functional areas.
Ability to communicate and liaise confidently and effectively with junior and senior members of all areas including Front Office, using written and oral methods.
Ability to manage a small team and in conjunction with other staff members of all levels from various functional areas.
Strong background in mathematics and/or IT.
Solid understanding of pricing methodologies.
Ability to produce clear, concise, and well written documents.
Practical IT experience (e.g., Excel and/or VBA, Python).
Familiarity with market data platforms and analytical tools including Bloomberg, Reuters, and Markit/Totem.
Educated to degree level or similar/equivalent in a numerical subject. ACA/CFA/CQF will be an advantage.

Financial Services Risk Management (FSRM) Senior Associate

As part of the SGV Financial Services Risk Management (FSRM) practice, you will provide a well-integrated broad array of risk management services to capital market participants within global banking, capital markets, asset management and insurance. FSRM products and services include Regulatory Compliance, Prudential Supervision (including capital management and capital adequacy), Bank Holding Company reporting, Credit Risk, Liquidity Risk, Market Risk, Operational Risk, Interest Rate Risk, Strategic Risk, Enterprise Risk, Structured Finance, Sustainable finance (Environmental, Social and Governance (ESG) Risk Management and Integration), and Quantitative Advisory Services.

Your Key Responsibilities

Active involvement in projects in financial risk modelling, credit risk, market risk, operational risk, methodology designs and reviews by large and international banks
Based on the results of analyses and research, draw meaningful conclusions and recommendations for our clients
Drive the preparation of reports and presentations
Supervise and coach assistants, monitor and report delivery status
·Preparation of proposals, project plans for prospective clients

To qualify for the role you must have

A bachelor’s degree in Economics, Mathematics, Statistics, Physics, and other related programs
Minimum of 3 years’ experience preferably at financial institutions in the field of risk management
Credit risk modeling (scoring and rating models, PD and LGD modeling)
Interest rate in the banking book (IRRBB) modeling
Market risk modeling, valuation of financial derivatives and financial instruments or
Experience in regulatory issues in banking and financial industries (BSP, Basel II/III, IFRS 9, IFRS 13)
Statistical and numerical techniques and the principles of the theory of probability and stochastic calculus
Functional knowledge and experience with statistical and numerical techniques and business acumen
Experience working in a financial product engineering/research and development environment designing and developing quantitative methods and services for capital market products
Strong interest in economic analysis / financial data analysis / applied statistics
Knowledge of the financial markets and the banking industry
Leadership as well as proven project management skills
Excellent written and verbal communication skills
Relevant professional qualifications are a plus. e.g CFA/CQF/FRM/ERM/SCR/PRM/CPA

Valuation Services – Derivatives & Structured products – Senior Manager (m/f/d)

Be a part of our team where you will:

Be part of a dynamic and entrepreneurial workplace environment, where you are valued for the unique contribution and perspectives you bring;

Benefit from our ‘Valuation Learning Pathway’, a unique and distinctive program that will allow you to grow as a valuation professional;

Benefit from a large choice of internal and external trainings;

Diversify the opportunities to build practical knowledge by working on a wide spectrum of asset valuation or otherwise related topics;

Diversify your client experience by working directly with top private and public clients of all sizes in Alternatives;

Participate in our Corporate Social Responsibility activities;

Take advantage of our comprehensive benefits, which help you find flexibility with your work.

Let’s talk about you. If you have …

+10 years of experience in the valuation of derivatives, structured products and illiquid financial instruments, ideally gained within a Big 4, an asset management environment or a financial institution.
Master’s degree in finance, financial engineering, mathematics applied to finance, or from a leading business school.
Demonstrated leadership and team management experience, with a proven ability to coach and inspire professionals.
Strong project management and multitasking skills, able to handle multiple high-profile engagements under tight deadlines.
Strong expertise a wide range – from simple to complex derivatives & structured products – alongside corresponding valuation methodologies.
Knowledge of IFRS standards related to valuation (IFRS 9, IFRS 13, IFRS 7).
Strong soft skills: analytical mindset, rigor, problem-solving ability, client orientated, and resilience under pressure.
Proficiency in financial tools such as Bloomberg, Refinitiv, Super Derivatives, with advanced knowledge of Excel/VBA.
Excellent communication and interpersonal skills in English (written and spoken).
Professional qualifications (CQF, CFA, FRM, CAIA, etc.) are considered an asset but not required.

Credit Risk – Senior Associate – Bangalore

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Credit Risk Analytics Professional Job Specification: Candidate would be responsible for developing, validating, auditing and maintaining credit risk models. Candidates would be expected to support financial institutions on meeting jurisdictional regulatory requirements and their broader risk management initiatives.

Experience level 4-7 years of experience;

Location: Bangalore

Core Skill Requirements

Candidate must have relevant experience in in statistical / mathematical modeling, quantitative research, credit risk management, or related field at a reputed bank, investment or broker services, asset management firm, Insurance provider or a consulting firm. Wider skill requirements include:

Experience in Credit Risk Modeling PD/LGD/EAD – TTC, PIT, Stressed and unstressed portfolio
Experience in Model Development, Model Validation, Model Audit (implementation and execution experience will not be considered directly relevant)
Knowledge of one or more of global regulatory norms – CECL, IFRS 9, CCAR/DFAST, Basel II/III, SR-11/7, E-23 around data sufficiency, modeling methods, industry standards etc.
Well versed with one or more statistical techniques used in credit risk modeling – Logistic Regression, Time series, OLS, Probit models, Survival techniques, Tobit, Fractional Logistic, Beta model, State Transition Matrix, Single Factor Merton model etc
Experience in Machine learning algorithms like Random Forest, SVM, Neural Network etc. and Artificial Learning use cases such as Natural Language Processing, Robotics etc. will be a plus
Proficiency in one or more analytical tools such as SAS, R, Python, Matlab, Scala, VBA etc. Experience in Data Science and cloud based analytics platform will be a plus
Understanding of credit risk metrics like RWA, Expected loss, Regulatory and Economic capital, OTTI, Watchlist, Asset quality etc.
Conceptual understanding of the data and methodology used for credit risk regulatory models
Leveraging experiential know-how of a wide range of loan types, including C&I, CRE, RRE, ABL, Leasing, Credit Card, Vehicle, Personal etc.
Prior experience in domains like commercial banking, retail banking, treasury, investment management and strong knowledge of risk data analysis and development, strategy design and delivery deployment.
Vendor Experience
Experience in bureau data from credit unions e.g. D&B, Experian, Equifax, Transunion
Experience in vendor models and ratings like Fitch, Credit pro, Moody etc. o Knowledge about external / benchmark models on consumer portfolios is a plus (FICO Score, Standards and Poor’s, Fitch or Moody’s Ratings)
Selecting, implementing and/or using commercial credit risk workflow, analytics- e.g., Moody’s KMV, S&P and/or, reporting technologies- e.g., Oracle, Cognos, et al

Non-functional skill requirements: In order to succeed in PwC Risk CoE, it is desirable for candidates to possess:

Understanding of market trends and demands in the financial services sector and issues faced by clients by staying abreast of current business and industry trends relevant to the client’s business
Excellent oral and written communication skills
Solid analytical and problem-solving skills; ability to isolate and solve issues using large amounts of data
Process orientation with strong technical skills and attention to detail
Deep technical capabilities and industry knowledge of financial products
Willingness to travel to meet client needs, as needed

Educational Background: Desired candidate must have a master’s degree or higher in a quantitative discipline such as Economics, Statistics, Mathematics, Operation Research, Econometrics, Data Science, Finance, Engineering + MBA; advanced degree is a plus; Industry relevant certifications in CQF, FRM, CFA, CPA certification is a plus

Senior Quantitative Risk Analyst

We are always looking for talented and motivated colleagues to join our team and together, contribute to the creation of a sustainable future, based on inclusion, empathy, respect and equal opportunities.

The main goal is identifying, analyzing and mitigating potential risks that could impact the company.

Together with us, you have the chance to grow everyday, contributing to energy transition, being responsible to:

Design, implement, and validate quantitative risk models for financial, operational, and market risks.
Apply advanced statistical techniques (hypothesis testing, regression analysis, confidence intervals, etc.) to assess risk drivers.
Develop forecasting models for risk trends and exposures.
Conduct Value at Risk (VaR), Profit at Risk (PaR), stress-testing analysis, Monte Carlo simulations and stochastic modeling techniques to quantify potential outcomes under uncertainty.
Document model assumptions, limitations, and validation results in line with best practice and governance requirements.
Provide training and guidance to junior analysts in the use of advanced quantitative methods.
Collaborate with other departments (Trading, Treasury, Operations etc) to integrate quantitative risk insights into business decision-making.
Prepare clear, concise, and actionable reports for management.

What You’ll Need To Succeed

At least 5 years of proven experience in statistics / quantitative analysis
Experience in energy sector risk management or commodity markets is a plus.
Bachelor’s degree (mandatory) or Master’s degree (preferred) in Statistics, Mathematics, Quantitative Finance, Finance, Economics, Engineering, or related field.
Certifications like Certificate in Quantitative Finance (CQF), Financial Risk Manager (FRM), Certified Risk Manager (CRM), Professional Risk Manager (PRM) or equivalent are a strong plus.
Technical excellence in quantitative / statistical / stochastical modeling.
Competence in at least one statistical software / programming language: Python, R, MATLAB, or SAS is a strong plus.
Knowledge of COSO ERM and/or ISO 31000 risk management frameworks is a plus.
Excellent communication and presentation skills.
Strong analytical and problem-solving skills.
Curiosity, innovation, and continuous learning mindset.
Strong ethical standards and commitment to risk governance.

Manager – Risk & Reg – Sales & Trading Operations

At PwC, our people in operations consulting specialise in providing consulting services on optimising operational efficiency and effectiveness. These individuals analyse client needs, develop operational strategies, and offer guidance and support to help clients streamline processes, improve productivity, and drive business performance. Those in customer service at PwC will specialise in improving customer service operations and enhancing customer experiences. You will work closely with clients to analyse customer service processes, identify pain points, and develop strategies to optimise service delivery, increase customer satisfaction, and drive loyalty. Working in this area, you will provide guidance on implementing customer service technologies, designing service models, and developing customer-centric service cultures.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm’s code of conduct, and independence requirements.

PwC Role Profile: Manager – Risk Management

Role Summary

As a Manager, you will lead project delivery and client relationships in risk management engagements. You will oversee work across market, counterparty, credit, and model risk while managing teams and contributing to practice development.

Key Responsibilities

Lead day-to-day client engagement, ensuring quality and timely delivery.
Design solutions for risk frameworks (e.g., FRTB implementation, CCR methodologies, model governance).
Serve as primary point of contact for client stakeholders at VP/Director levels.
Manage project plans, budgets, and reporting.
Supervise, coach, and mentor senior associates and associates.
Contribute to proposals and thought leadership.

Skills & Experience

8–11 years of consulting or risk management experience.
Expertise in at least one domain, with strong working knowledge across others.
Proven ability to lead projects and teams.
Regulatory knowledge and ability to interpret supervisory expectations.

Qualifications

Bachelor’s degree required; Master’s preferred.
CFA, FRM, PRM, or CQF strongly preferred.

Trader

Please see job role.

Quant Strategist

Pension Insurance Corporation (“PIC”) provides secure retirement incomes through comprehensive risk management and excellence in asset and liability management, as well as exceptional customer service. Our purpose is to pay the pensions of our current and future policyholders. We achieve our purpose by setting Company-wide strategic objectives and driving a healthy culture based on our PIC Values of Resilient, Adaptable, and Loyal.

PIC is recruiting for a Quant Strategist to join its ALM Securities & Derivatives function. This function sits at the core of PIC’s business, creating value by optimising the relationship between assets and liabilities in line with the firm’s risk appetite.

The Quant Strategist team specifically works closely with the wider Investment department to address business challenges through a combination of quantitative and actuarial insight. The team works in partnership with the broader ALM Securities & Derivatives function to shape and advance the analytical frameworks, hedging capabilities, and portfolio-optimisation tools that underpin investment decisions and strengthen balance-sheet management.

This particular role will support the enhancement of PIC’s ALM quantitative toolkit, developing systems and datasets that enable efficient modelling and analysis. It will also focus on translating robust data and models into practical, user-friendly analytics, collaborating with the investment team to deliver clearer insights and support faster, more informed decisions, enhancing the overall investment process.

Your specific accountabilities will be:

Maintain and enhance the ALM Quant Platform, ensuring existing models, libraries, and analytics remain accurate, robust, and well-documented
Design and deliver new model features or analytical capabilities, aligned to business requirements, regulatory needs, or investment initiatives
Develop and implement model components to be handed over to Technology for production deployment, ensuring clean code, technical specifications, and appropriate testing artefacts
Support BAU production processes, including running ALM analytics, debugging issues, and providing explanations of results to internal stakeholders
Analyse and approximate Solvency II balance-sheet impacts under different market or portfolio scenarios, supporting risk management and investment decision-making
Collaborate with ALM, Investment, Actuarial and Risk teams to refine modelling assumptions, validate outputs, and ensure consistency across analytical frameworks
Contribute to the continuous improvement of modelling standards, including coding practices, version control discipline, and model governance documentation
Undertake research to enhance modelling methodologies, introducing innovations or efficiency improvements that strengthen PIC’s ALM capability
Develop technical understanding and platform expertise, with the expectation to progress towards subject-matter expertise in key ALM modules

Requirements

Experience:

Professional qualifications (e.g., CFA, FIA, CQF, PhD) are advantageous but not essential
Experience contributing to model development, calibration, or platform enhancement within an investment, actuarial, ALM, or risk environment
Experience providing BAU model support, troubleshooting issues, and helping stakeholders interpret ALM metrics in a fast-paced environment
Strong academic record in a quantitative discipline (mathematics, physics, engineering, actuarial science, financial engineering)