Jobs Archive

Consulting MRM Market Risk – Consultant

Deloitte Model Risk Management (MRM) is one of the services we offer to our clients where we help them manage their risks around model usage. The team is comprised of professionals with diverse backgrounds, including Masters in Statistics, Mathematics, Physics, Finance, Financial Engineering and PhDs in various quantitative fields, etc. Our team is focused on qualitative assessment and quantitative modeling in the areas of Market Risk, Credit Risk, Operational Risk, Liquidity Risk, Fraud Risk as per regulatory guidelines like CCAR/Stress Testing, BASEL II.5 / III in US and CRD IV/CRR in EMEA regulations. The team also does valuation of complex financial products such as derivatives and structured products. Our value proposition includes industry, financial accounting and business process knowledge, proven methodologies that include risk and control concepts, deep expertise in advanced quantitative, data extraction, data mining and analytical skills.

The key job responsibilities will be to:

Work on consulting projects related to financial instrument modeling, model review, securities pricing, and risk management including support for regulatory compliance.
Develop or validate equity, FX, and hybrid based exotic pricing models with a focus on conceptual assessment and assumptions testing.
Perform quantitative analysis focused on Profit Attribution Analysis (PAA), Stress Testing and Non- modellable Risk Factors (NMRFs) for the models being validated.
Assess valuation methodology for fixed income instruments and derivatives on interest rates, foreign exchange, equity, and credit.
Design, implement and critique on calibrations of parametrized valuation models such as Black Scholes, Hull & White, SABR, Heston, etc.
Assess IPV methodology for external clients covering products across all asset classes.
Assist client in Advisory projects around the evolving issues e.g., XVA, IBOR Transition, etc. that affect the valuation of derivatives and structured products.

Qualifications

Must Have Skills/Project Experience/Certifications:

1-4 years of experience with quantitative analysis technical tools such as Python, R, MATLAB, SAS, etc.
Familiarity with valuation of fixed income instruments, derivatives on interest rates, foreign exchange, equity, and credit. Understanding of financial derivatives, stochastic calculus, and numerical techniques for derivatives pricing (Monte Carlo / Finite Difference).
Familiarity with various quantitative measures related to Market Risk (e.g., VaR, Expected Shortfall, etc.) and Counterparty Credit Risk (e.g., Expected Exposure, Expected Potential Exposure, etc.)
Familiarity with tools like Bloomberg, Refinitiv, Murex, etc. is a plus.
Experience in model validation like Asset Liability Management, Economic Capital Models, etc. is a plus.
Understanding of financial regulations (like FRTB), products or financial processes is a plus
Ability to explain difficult financial modeling/valuation concepts to diverse audiences and to experts at various clients.
Related bank/consulting experience is a plus.

Good to Have Skills/Project Experience/Certifications:

Certifications: CFA / FRM / CQF
Experience in programming languages such as Python or R

Market Risk – Assistant Manager

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

Roles And Responsibilities

Proven experience in market risk, risk modeling or model validation. Assess the model’s conceptual soundness and methodology. Develop tests to assess the model methodology and assumptions. Market Risk Models – Value at Risk, Expected Shortfall, Pricing of plain vanilla and exotic derivatives, Pricing of Credit derivatives, FRTB (SA & IMA), Counterparty Risk Exposure models, FVA, PVA, IPV, Stress Test Models – CCAR etc.
Reviewed pricing models based on simulations or path dependent models. Assessed calibration of these models with market data.
Produce high quality model validation reports, with a particular focus on noting limitations, weaknesses, and assumptions.
Strong understanding of regulations and guidelines like SR 11-7 or other equivalent guidelines for model risk management.
Perform independent testing to check robustness of the model.
Document validation processes, findings, and recommendations in detailed reports.
Understanding of financial instruments and market risk.
Detail-oriented with strong problem-solving skills and a proactive approach to challenges.

Qualifications:

Bachelor’s degree in Mathematics, Statistics, Economics, Finance, Physics or a related field. Advanced degrees or certifications (e.g., CFA, FRM, CQF) are a plus.
Proven experience in model validation, quantitative analysis, or a similar role within the financial services industry.
Strong analytical skills and proficiency in statistical software/tools (e.g., Python, R, SAS).

Senior Quantitative Analyst, Total Portfolio Solutions

Reporting to the Global Head of Total Portfolio Solutions, you will join a dynamic, multidisciplinary investment team and play a key role in advancing our proprietary portfolio construction systems. In this role, you will act as a subject matter expert in investment research, financial modeling, and emerging technologies, driving innovation and efficiency across the platform. The ideal candidate is a collaborative problem-solver with a proven track record of execution, capable of transforming complex financial and business challenges into scalable, lasting solutions. Strong programming skills and a passion for leveraging technology to enhance investment processes are essential.

About the Multi-Asset Class Solutions Team

The Multi-Asset Class Solutions team is Fiera’s client-centric, goal-driven portfolio management unit. We employ a flexible and research-informed approach to design tailored multi-asset solutions that maximize the likelihood of achieving client objectives. Working closely with clients and their consultants, we define return targets, risk tolerance, liquidity needs, investment horizons, and specific constraints, including ESG considerations. From there, we establish an investment universe and construct optimal portfolios that reflect these parameters, leveraging the breadth of strategies and implementation capabilities available across the Fiera platform.

Your responsibilities:

Develop, implement, and automate quantitative tools for multi-asset solutions.
Maintain and enhance code and data infrastructure, ensuring robust architecture and risk controls.
Act as leading reference for investment and portfolio research using advanced quantitative methods.
Collaborate with the team to design and deploy innovative solutions that improve analytics and processes.
Evaluate emerging AI technologies to enhance asset allocation, portfolio construction, and risk modeling.
Stay current on AI trends through research and industry engagement, challenging existing processes for innovation.

Must have requirements to be successful in this role:

A degree in quantitative finance, actuarial science, mathematics, computer science or related field. An advanced degree is a strong advantage.
Actuarial and/or financial professional designations or progress toward (e.g., FSA, CFA, CAIA, FRM, PRM or CQF) an asset;
Minimum 5 to 7 years of relevant work experience;
Expert knowledge of Python and SQL is required, and experience in any other object-oriented programming language is an asset;
Java and Power BI integration a plus;
Acute interest in AI technologies and financial markets in an asset management context;
Strong modeling knowledge for both assets and liabilities (e.g., defined benefit pension, insurance);
Applied quantitative skills;
Strong communication and technical writing skills ideally both in French & English (verbal and written);
Effective time management and organizational skills;
Ability to adapt to a complex and changing environment;
Comfortable working independently and as part of a team.

Manager – Model Risk Management (Quants/Derivative Pricing)

Risk and Quant is one of the fastest growing practices at Evalueserve. As an RQS team member, you will address some of the world’s largest financial needs with technology proven solutions. You would solve these banking challenges and improve decision making with award winning solutions

What you will be doing at Evalueserve

Review and validate derivative pricing and risk models across asset classes
Develop and validate risk modelling frameworks for both market risk and counterparty credit risk
Development and Implementation of benchmark models and methodologies in C++, Python, R etc.
Perform Independent model testing and assess assumptions, limitations, and model framework
Develop, Implement, and backtest regulatory models such as IRRBB, FRTB, RNIV and VaR/ES.
Prepare coherent and comprehensive documentation reports.
Lead and mentor the team of Analysts
Provide in-depth technical knowledge in existing and prospective client meetings.
Take responsibility for analysis, presentations, product demonstrations and fully manage the proof of concepts and full-fledged projects.
Preparation and delivery for detailed presentations and workshops.
Ability to deliver presentations and demonstrations to prospects
Be able to articulate solution offerings and the scope and approach in responses for RFIs/RFPs

What we’re looking for

Good knowledge of one or more asset classes (Equity, Rates, FX etc.)
Good experience in market risk / model validation role
Strong Financial Mathematics for derivative pricing; Monte Carlo, PDEs and numerica integration
Knowledge in advanced derivatives modelling and knowledge of volatility models preferred
Knowledge of market risk regulations and experience in implementation of regulatory models
Strong proficiency in one or more of the following programming languages C++, Python, R, MATLAB.
Strong regulatory understanding such as BASEL, CCAR, DFAST, CECL, SR-11/7 etc.
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
Robust verbal, written and interpersonal communication skills.
Excellent presentation and report writing skills.
Self-starter with strong problem-solving skills
Project management and leadership qualities

Qualification

Master in Financial Engineering / Statistics / Economics / Mathematics or B.Tech. / MBA
Finance from tier 1 college
Certifications such as CFA, FRM, CQF, IIQF is a plus

Junior Quant Developer

We seek an entrepreneurial Junior Quant Developer to join our team and contribute to the development of state-of-the-art technology infrastructure for quantitative trading algorithms on cryptocurrency markets. The ideal candidate is passionate about crafting flawless code using Python best practices, possesses a strong foundation in numerical algorithms and scientific computing, and demonstrates a deep understanding of software architecture.

Key Responsibilities:

Contribute to the development and maintenance of our in-house trading platform and infrastructure.
Develop and maintain robust trading algorithms and quantitative models.
Design and implement efficient data pipelines and ETL processes.
Collaborate with the team to optimize trading strategies and risk management frameworks.
Stay updated on the latest advancements in quantitative finance and machine learning.

Required Skills and Experience:

2-3 years of experience in Python, Pandas, NumPy, and SciPy.
Strong proficiency in SQL and database management (PostgreSQL preferred).
Familiarity with Quantitative Analysis concepts, financial time series analysis, and statistical modeling.
Excellent problem-solving and analytical skills.
Strong communication and teamwork abilities.

Preferred Skills and Experience:

Experience with any backtesting frameworks like Backtrader or Zipline.
Knowledge of quantitative trading strategies, such as statistical arbitrage, mean reversion, and momentum.
Experience with real-time data feeds and market microstructure.
CFA or CQF certification.

AVP – Credit Portfolio Manager

Do you want your voice heard and your actions to count?

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world’s leading financial groups. Across the globe, we’re 120,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.

With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.

Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.

OVERVIEW OF THE DEPARTMENT/SECTION

Mitsubishi UFJ Financial Group (“MUFG”) is one of the world’s leading financial groups. Headquartered in Tokyo and with approximately 350 years of history, MUFG is a global network with around 2,300 offices in over 50 countries including the Americas, Europe, the Middle East and Africa, Asia and Oceania, and East Asia. The group has over 150,000 employees, offering services including commercial banking, trust banking, securities, credit cards, consumer finance, asset management, and leasing.

As one of the top financial groups globally with a vison to be the world’s most trusted, we want to attract, nurture and retain the most talented individuals in the market. The size and range of MUFG’s global business creates opportunities for our employees to stretch themselves and reap the rewards, whilst our common values, to behave with integrity and responsibility, and to build a culture which is fair, transparent, and honest, underpin everything that we do.

We aim to be the financial partner of choice for our clients, whatever their requirements, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.

MUFG’s shares trade on the Tokyo, Nagoya, and New York (NYSE: MTU) stock exchanges. The group’s operating companies include, but are not limited to, MUFG Bank, Ltd., Mitsubishi UFJ Trust and Banking (Japan’s leading trust bank), Mitsubishi UFJ Securities Holdings (one of Japan’s largest securities firms), and MUFG Americas Holdings.

Please visit our website for more information – mufgemea.com.

Credit Portfolio Management (CPM) is a global function that is responsible for actively managing MUFG Bank’s loan portfolio including monitoring the credit quality and efficiency of the loan portfolio, developing and executing hedging and loan sales strategies to protect/optimize the bank’s capital using real-market information, market research and traditional fundamental credit analysis. In addition, CPM works closely with the business lines to participate in the analysis and evaluation of new business opportunities and provide exposure management solutions when necessary.

NUMBER OF DIRECT REPORTS

None

MAIN PURPOSE OF THE ROLE

The successful candidate will be part of CPM for EMEA (ECPMO), which actively works with its business partners in the bank and the group to analyse new business opportunities, create and execute risk management solutions using various liquid or illiquid hedging tools such as CDS, Credit Insurance, Securitizations, Loans sales and Risk Participations and perform various analyses of the Bank’s loan portfolio.
Specifically, the main purpose of this role is to provide advisory services to the Bank’s relationship managers and asset originators at the point of transacting. The role sits within ECPMO’s Advisory Team, whose primary responsibility is to support the Bank’s businesses in making lending and asset origination decisions that make best use of the Bank’s balance sheet (liquidity and capital). Additionally, the role will involve managing ad hoc projects where ECPMO can facilitate the execution of new, profitable transactions and to participate in the overall risk management process to improve the risk/return characteristics of the portfolio.

KEY RESPONSIBILITIES

To support the Advisory team in working with the Bank’s relationship managers and asset originators to:

Advise them on the economics of transactions and from an overall client relationship perspective (RoE and relative value analysis). Actively monitor financial markets and economic developments to assist in appropriate benchmark selection as well as participate in market updates with business teams.
Support devising exposure management strategies and to advise businesses on the economics of identified alternatives.
Support advising optimal hold amounts to align with the bank’s risk appetite for retained credit risk.
Liaise with the product specialist teams involved (loan sales, credit insurance, CDS).
Perform risk-return analysis at the business line or portfolio level to help optimize portfolio constraints.

SKILLS AND EXPERIENCE

WORK EXPERIENCE
Essential:

Must demonstrate command of one of the following three skill sets and be eager to develop skills for the remaining skills::

Understanding of corporate lending with specialty focus in either Corporate and or Project Finance lending, incl. corporate credit assessment;
Understanding of credit pricing, regulatory capital, statutory and economic return measures in the area of fixed income;
Understanding of risk mitigation products such as Credit Default Swaps Credit Insurance, Loan sales, Risk Participations and Securitization, preferably including within a portfolio context.

Preferred:

Understanding of relationship banking and ancillary banking products such as fixed income, interest rate swaps, FX and cash management.

SKILLS

Functional / Technical Competencies:

Essential:

Strong communication and presentation skills.
Strong interpersonal skills in the management of multiple senior stakeholders.
Proficient user of MS Office applications, Excel for financial modelling and data analysis along with word and PowerPoint.

Preferred:

‘Bloomberg and other market information systems, possibly VBA experience.

Education / Qualifications:

Essential:

Degree educated (Business, Economics, or relevant technical subject) or demonstrating equivalent practical experience.

Preferred:

Industry qualification (or working towards) in a credit analysis or risk management related subject (CFA, CQF, etc.)

PERSONAL REQUIREMENTS

Friendly and collaborative personality which values a well-established team culture.
Excellent attention to detail and accuracy.
Proactive, self-motivated, results driven, with a strong sense of accountability.
The ability to operate in a fast paced environment and prioritise work accordingly.
Strong numerical and problem solving skills.
A creative and innovative approach to work.

xVA Quants Analyst

Please see job role.

Commodity Analyst Metals & Markets

Key Responsibilities

1) Conduct in-depth research on non-ferrous metals markets, including aluminium, copper, nickel, and associated alloys.

2) Monitor global economic indicators, macroeconomic trends, and geopolitical events impacting non-ferrous metal pricing and supply-demand dynamics.

3) Utilize quantitative models and technical analysis tools to forecast price movements and identify market patterns.

4) Compile weekly reports on market trends, pricing forecasts, and macroeconomic news related to non-ferrous metals.

5) Submit monthly performance reviews of hedging strategies and develop insights on future hedge planning.

6) Present quarterly reviews and recommendations to senior management, traders, and other stakeholders.

7) Evaluate risks associated with metal trading activities, including market, credit, operational, and geopolitical exposures.

8) To Data research and share market intelligence and implement best practices in analysis and risk management.

9) Track global news and developments impacting the metals and forex markets.

10) Summarize and circulate key updates weekly to executive leadership to support agile business decisions.

11) Participate in industry webinars, workshops, and conferences to stay ahead of trends in commodity trading, hedging techniques, and risk governance.

12) Perform initial level technical analysis using provided tools and parameters.

13) Maintain calendar for LME contract rollovers and update internal dashboards regularly.

Qualifications and Experience:

1) Bachelor’s degree in Finance, Economics, Statistics, Metallurgy, Engineering, or a related field is mandatory.

2) Master’s degree (preferred) in Business Administration (MBA), Financial Engineering, or Commodity Risk Management.

3) Professional certifications such as CFA (Chartered Financial Analyst), FRM (Financial Risk Manager), or CQF (Certificate in Quantitative Finance) are an added advantage.

Knowledge or training in technical analysis, LME operations, or commodities trading platforms is highly valued.

4) 5 to 7 years of progressive experience in commodity markets, specifically in non-ferrous metals trading, risk management, or market analysis.

5) Minimum 3 years of direct experience with LME-based hedging strategies, including execution and evaluation of metal futures and options.

6) Strong working knowledge of global metal market trends, macroeconomic indicators, and supply-demand dynamics.

7) Proven experience in working with data modeling tools, technical indicators, and platforms such as Bloomberg, Reuters, Fastmarkets, or LME systems.

8) Experience in collaborating with traders, operations, and finance teams to align hedging and risk strategies with commercial objectives.

9) Prior exposure to managing or advising personal portfolios or angel investments is a strong plus.

10)Leadership values, honest, hardworking and optimistic nature.

Manager Market Risk & Valo

Please see job role.

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

As a Senior Manager, you will lead and oversee valuation analysis and reviews across a broad range of derivatives, structured products and illiquid financial instruments, ensuring technical accuracy and compliance with IFRS and regulatory standards. You will act as a key point of contact for audit teams and clients, manage and develop a team of valuation professionals, and contribute to business development initiatives. You will also be involved in enhancing methodologies, developing existing and new valuation tools and platforms.

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.

…You are the candidate we are looking for!